TY  - CONF
AU  - Radomirović, Milena
AU  - Tanaskovski, Bojan
AU  - Mijatović, Nevenka
AU  - Vasić, Milica
AU  - Cantaluppi, Chiara
AU  - Pezo, Lato
AU  - Stanković, Slavka
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/732
AB  - Pet kompleksnih indeksa (PLI, RI, mERMq, TRI, CSI) određeno je za svaku od 40 lokacija tokom perioda istraživanja (2005, 2007, 2013, 2019) uzimajući u obzir osam teških metala. Primenom klasterske analize (CA) i analize glavnih komponenti (PCA) na vrednosti indeksa zagađenja, izvršeno je prostorno i vremensko poređenje kvaliteta sedimenta. Rezultati statističke analize pokazali su povišen stepen kontaminacije sedimenta u 2005. godini u Kotorskom i Tivatskom zalivu, dok je u 2007., 2013., i 2019. godini bio u Tivatskom zalivu. PCA, CA i indeksi zagađenja ukazali su na povećanje nivoa zagađenja sedimenta u Tivatskom zalivu u periodu od 2005. do 2019.
C3  - 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings
T1  - Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine
EP  - 246
SP  - 237
UR  - https://hdl.handle.net/21.15107/rcub_rims_732
ER  - 

@conference{
author = "Radomirović, Milena and Tanaskovski, Bojan and Mijatović, Nevenka and Vasić, Milica and Cantaluppi, Chiara and Pezo, Lato and Stanković, Slavka",
year = "2023",
abstract = "Pet kompleksnih indeksa (PLI, RI, mERMq, TRI, CSI) određeno je za svaku od 40 lokacija tokom perioda istraživanja (2005, 2007, 2013, 2019) uzimajući u obzir osam teških metala. Primenom klasterske analize (CA) i analize glavnih komponenti (PCA) na vrednosti indeksa zagađenja, izvršeno je prostorno i vremensko poređenje kvaliteta sedimenta. Rezultati statističke analize pokazali su povišen stepen kontaminacije sedimenta u 2005. godini u Kotorskom i Tivatskom zalivu, dok je u 2007., 2013., i 2019. godini bio u Tivatskom zalivu. PCA, CA i indeksi zagađenja ukazali su na povećanje nivoa zagađenja sedimenta u Tivatskom zalivu u periodu od 2005. do 2019.",
journal = "52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings",
title = "Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine",
pages = "246-237",
url = "https://hdl.handle.net/21.15107/rcub_rims_732"
}

Radomirović, M., Tanaskovski, B., Mijatović, N., Vasić, M., Cantaluppi, C., Pezo, L.,& Stanković, S.. (2023). Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine. in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings, 237-246.
https://hdl.handle.net/21.15107/rcub_rims_732

Radomirović M, Tanaskovski B, Mijatović N, Vasić M, Cantaluppi C, Pezo L, Stanković S. Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine. in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings. 2023;:237-246.
https://hdl.handle.net/21.15107/rcub_rims_732 .

Radomirović, Milena, Tanaskovski, Bojan, Mijatović, Nevenka, Vasić, Milica, Cantaluppi, Chiara, Pezo, Lato, Stanković, Slavka, "Uporedna statistička analiza zagađenja površinskog sedimenta iz priobalnih i centralnih delova Bokokotorskog zaliva za period od 2005. do 2019. godine" in 52. konferencija o aktuelnim temama korišćenja i zaštite voda, VODA 2023, Palić, Conference Proceedings (2023):237-246,
https://hdl.handle.net/21.15107/rcub_rims_732 .

TY  - JOUR
AU  - Vasić, Milica
AU  - Goel, Gaurav
AU  - Dubale, Mandefrot
AU  - Živković, Slavica
AU  - Trivunić, Milan
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/449
AB  - The main idea of the present study was to investigate the impact of the ongoing world
crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing.
This contribution lays the groundwork for developing countries in the modern world to improve
sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware
mindset and enhance how they provide pertinent information to potential clients. This study is
limited by the number of respondents. For future mathematical modeling and forecasting, more
answerers are needed.
PB  - MDPI
T2  - Sustainability 2023, 15, 4080
T1  - Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia
VL  - 15
DO  - 10.3390/su15054080
ER  - 

@article{
author = "Vasić, Milica and Goel, Gaurav and Dubale, Mandefrot and Živković, Slavica and Trivunić, Milan and Pezo, Milada and Pezo, Lato",
year = "2023",
abstract = "The main idea of the present study was to investigate the impact of the ongoing world
crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing.
This contribution lays the groundwork for developing countries in the modern world to improve
sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware
mindset and enhance how they provide pertinent information to potential clients. This study is
limited by the number of respondents. For future mathematical modeling and forecasting, more
answerers are needed.",
publisher = "MDPI",
journal = "Sustainability 2023, 15, 4080",
title = "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia",
volume = "15",
doi = "10.3390/su15054080"
}

Vasić, M., Goel, G., Dubale, M., Živković, S., Trivunić, M., Pezo, M.,& Pezo, L.. (2023). Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability 2023, 15, 4080
MDPI., 15.
https://doi.org/10.3390/su15054080

Vasić M, Goel G, Dubale M, Živković S, Trivunić M, Pezo M, Pezo L. Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability 2023, 15, 4080. 2023;15.
doi:10.3390/su15054080 .

Vasić, Milica, Goel, Gaurav, Dubale, Mandefrot, Živković, Slavica, Trivunić, Milan, Pezo, Milada, Pezo, Lato, "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia" in Sustainability 2023, 15, 4080, 15 (2023),
https://doi.org/10.3390/su15054080 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/499
AB  - The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.
T2  - Science of Sintering
T1  - Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives
EP  - 27
IS  - 1
SP  - 11
VL  - 55
DO  - 10.2298/SOS2301011T
ER  - 

@article{
author = "Terzić, Anja and Pezo, Milada and Pezo, Lato",
year = "2023",
abstract = "The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.",
journal = "Science of Sintering",
title = "Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives",
pages = "27-11",
number = "1",
volume = "55",
doi = "10.2298/SOS2301011T"
}

Terzić, A., Pezo, M.,& Pezo, L.. (2023). Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives. in Science of Sintering, 55(1), 11-27.
https://doi.org/10.2298/SOS2301011T

Terzić A, Pezo M, Pezo L. Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives. in Science of Sintering. 2023;55(1):11-27.
doi:10.2298/SOS2301011T .

Terzić, Anja, Pezo, Milada, Pezo, Lato, "Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives" in Science of Sintering, 55, no. 1 (2023):11-27,
https://doi.org/10.2298/SOS2301011T . .

TY  - CONF
AU  - Radomirović, Milena
AU  - Tanaskovski, Bojan
AU  - Mijatović, Nevenka
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Onjia, Antonije
AU  - Stanković, Slavka
PY  - 2022
UR  - http://rims.institutims.rs/handle/123456789/910
AB  - The surface sediments sampled from forty sampling sites in the Boka Kotorska Bay, starting from October 2005 to December 2019, were analysed for the content of ten heavy metals (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Fe). Five complex indices (pollution load index (PLI), potential ecological risk index (RI), mean ERM quotient (MERMQ), toxic risk index (TRI), contamination severity index (CSI)) were determined for each site in the study period (2005, 2007, 2013, 2019), and statistically examined by principal component analysis (PCA) and cluster analysis (CA). In the semi-enclosed Bay, which consists of four smaller bays (Kotor, Risan, Tivat, Herceg Novi bays), a spatio-temporal comparison of sediment quality was carried out using PCA and CA analysis of the considered pollution indices. Statistical results revealed that the increased environmental risk in 2005 was observed in the bay of Kotor; in 2007 was in the bay of Tivat and Risan; in 2013 in the bay of Kotor and Tivat; and in 2019 was in the bay of Tivat, particularly at the shipyard site Bijela. The PCA and CA analysis highlighted that the sediment contamination in Kotor bay decreased from 2005 to 2019, while at the same time increased in Tivat bay, which is an indication of pollution due to urbanization and population growth in this part of the Bay. The results gave a statistical overview of the similarities between the pollution indices and the differences in the degree of sediment pollution in the Bay during the last two decades.
PB  - Banja Luka : University in Banjaluka, Faculty of Technology
C3  - XIV Conference of Chemists, Technologists and Environmentalists of Republic of Srpska, Banja Luka, Bosnia and Herzegovina, October 21-22, 2022
T1  - Statistical analysis of pollution indices in the last two decades for the Boka Kotorska bay, Adriatic Sea
SP  - 184
UR  - https://hdl.handle.net/21.15107/rcub_rims_910
ER  - 

@conference{
author = "Radomirović, Milena and Tanaskovski, Bojan and Mijatović, Nevenka and Vasić, Milica and Pezo, Lato and Onjia, Antonije and Stanković, Slavka",
year = "2022",
abstract = "The surface sediments sampled from forty sampling sites in the Boka Kotorska Bay, starting from October 2005 to December 2019, were analysed for the content of ten heavy metals (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Fe). Five complex indices (pollution load index (PLI), potential ecological risk index (RI), mean ERM quotient (MERMQ), toxic risk index (TRI), contamination severity index (CSI)) were determined for each site in the study period (2005, 2007, 2013, 2019), and statistically examined by principal component analysis (PCA) and cluster analysis (CA). In the semi-enclosed Bay, which consists of four smaller bays (Kotor, Risan, Tivat, Herceg Novi bays), a spatio-temporal comparison of sediment quality was carried out using PCA and CA analysis of the considered pollution indices. Statistical results revealed that the increased environmental risk in 2005 was observed in the bay of Kotor; in 2007 was in the bay of Tivat and Risan; in 2013 in the bay of Kotor and Tivat; and in 2019 was in the bay of Tivat, particularly at the shipyard site Bijela. The PCA and CA analysis highlighted that the sediment contamination in Kotor bay decreased from 2005 to 2019, while at the same time increased in Tivat bay, which is an indication of pollution due to urbanization and population growth in this part of the Bay. The results gave a statistical overview of the similarities between the pollution indices and the differences in the degree of sediment pollution in the Bay during the last two decades.",
publisher = "Banja Luka : University in Banjaluka, Faculty of Technology",
journal = "XIV Conference of Chemists, Technologists and Environmentalists of Republic of Srpska, Banja Luka, Bosnia and Herzegovina, October 21-22, 2022",
title = "Statistical analysis of pollution indices in the last two decades for the Boka Kotorska bay, Adriatic Sea",
pages = "184",
url = "https://hdl.handle.net/21.15107/rcub_rims_910"
}

Radomirović, M., Tanaskovski, B., Mijatović, N., Vasić, M., Pezo, L., Onjia, A.,& Stanković, S.. (2022). Statistical analysis of pollution indices in the last two decades for the Boka Kotorska bay, Adriatic Sea. in XIV Conference of Chemists, Technologists and Environmentalists of Republic of Srpska, Banja Luka, Bosnia and Herzegovina, October 21-22, 2022
Banja Luka : University in Banjaluka, Faculty of Technology., 184.
https://hdl.handle.net/21.15107/rcub_rims_910

Radomirović M, Tanaskovski B, Mijatović N, Vasić M, Pezo L, Onjia A, Stanković S. Statistical analysis of pollution indices in the last two decades for the Boka Kotorska bay, Adriatic Sea. in XIV Conference of Chemists, Technologists and Environmentalists of Republic of Srpska, Banja Luka, Bosnia and Herzegovina, October 21-22, 2022. 2022;:184.
https://hdl.handle.net/21.15107/rcub_rims_910 .

Radomirović, Milena, Tanaskovski, Bojan, Mijatović, Nevenka, Vasić, Milica, Pezo, Lato, Onjia, Antonije, Stanković, Slavka, "Statistical analysis of pollution indices in the last two decades for the Boka Kotorska bay, Adriatic Sea" in XIV Conference of Chemists, Technologists and Environmentalists of Republic of Srpska, Banja Luka, Bosnia and Herzegovina, October 21-22, 2022 (2022):184,
https://hdl.handle.net/21.15107/rcub_rims_910 .

TY  - CONF
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
PY  - 2022
UR  - http://rims.institutims.rs/handle/123456789/895
AB  - Coal ashes have been extensively explored to be used in bricks. Some studies report the improvement of the quality while others claim the opposite. It is still unknown what are the factors that most affect the quality of the products. The database gathered 302 cases obtained from the literature containing the chemical composition of brick clays and the ashes and other relevant parameters like peak firing temperature and soaking time, to understand the quality of the fired bricks. The behavior of developed products is followed through bulk density, open porosity, water absorption, and compressive strength. The overall conclusions were that the compressive strengths were the highest after firing in tunnel kilns, and that class F ashes are highly suitable to be used in the brick industry as a replacement material for brick clay. The random forest method was employed and showed that the highest influence to the quality of coal-clay products was owed to the contents of Fe2O3 and K2O coming from brick clays, and Na2O, Fe2O3, and K2O from the ashes. The comparison of different mathematical models was done, such as the support vector machine, random forest, boosted trees, and artificial neural network.
C3  - CIMTEC 2022 15th International Ceramics Congress, Perugia, Italy
T1  - Influence of coal ashes on fired clay brick quality using random forest method
UR  - https://hdl.handle.net/21.15107/rcub_rims_895
ER  - 

@conference{
author = "Vasić, Milica and Pezo, Lato and Radojević, Zagorka",
year = "2022",
abstract = "Coal ashes have been extensively explored to be used in bricks. Some studies report the improvement of the quality while others claim the opposite. It is still unknown what are the factors that most affect the quality of the products. The database gathered 302 cases obtained from the literature containing the chemical composition of brick clays and the ashes and other relevant parameters like peak firing temperature and soaking time, to understand the quality of the fired bricks. The behavior of developed products is followed through bulk density, open porosity, water absorption, and compressive strength. The overall conclusions were that the compressive strengths were the highest after firing in tunnel kilns, and that class F ashes are highly suitable to be used in the brick industry as a replacement material for brick clay. The random forest method was employed and showed that the highest influence to the quality of coal-clay products was owed to the contents of Fe2O3 and K2O coming from brick clays, and Na2O, Fe2O3, and K2O from the ashes. The comparison of different mathematical models was done, such as the support vector machine, random forest, boosted trees, and artificial neural network.",
journal = "CIMTEC 2022 15th International Ceramics Congress, Perugia, Italy",
title = "Influence of coal ashes on fired clay brick quality using random forest method",
url = "https://hdl.handle.net/21.15107/rcub_rims_895"
}

Vasić, M., Pezo, L.,& Radojević, Z.. (2022). Influence of coal ashes on fired clay brick quality using random forest method. in CIMTEC 2022 15th International Ceramics Congress, Perugia, Italy.
https://hdl.handle.net/21.15107/rcub_rims_895

Vasić M, Pezo L, Radojević Z. Influence of coal ashes on fired clay brick quality using random forest method. in CIMTEC 2022 15th International Ceramics Congress, Perugia, Italy. 2022;.
https://hdl.handle.net/21.15107/rcub_rims_895 .

Vasić, Milica, Pezo, Lato, Radojević, Zagorka, "Influence of coal ashes on fired clay brick quality using random forest method" in CIMTEC 2022 15th International Ceramics Congress, Perugia, Italy (2022),
https://hdl.handle.net/21.15107/rcub_rims_895 .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Vasić, Miloš
AU  - Mijatović, Nevenka
AU  - Mitrić, Miodrag
AU  - Radojević, Zagorka
PY  - 2022
UR  - http://rims.institutims.rs/handle/123456789/382
AB  - This study presents the 51 mixtures of ceramic clays characterized by using XRF, XRD, granulometry, and dilatometry analyses. After firing in a 1000-1250 °C range, water absorption (WA) according to EN standards by boiling in water, under vacuum, and by 24 h soaking is determined. The results indicated that there was a high and statistically significant correlation between the standard methods, but the testing under vacuum gave the highest saturation of the samples fired at 1200 °C and 1250 °C. It is determined that these illitic-kaolinitic clays can be used to produce floor ceramic tiles belonging to the BIIa group (water absorption between 3% and 6%). The study also aimed to reveal which method of WA determination is suitable to read the sintering interval from the gresification diagrams, which is compared to the beginning of sintering as read from dilatometry curves.
PB  - Sociedad Espanola de Ceramica y Vidrio
T2  - Boletin de la Sociedad Espanola de Ceramica y Vidrio
T1  - What is the most relevant method for water absorption determination in ceramic tiles produced by illitic-kaolinitic clays? The mystery behind the gresification diagram
DO  - 10.1016/j.bsecv.2020.11.006
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Vasić, Miloš and Mijatović, Nevenka and Mitrić, Miodrag and Radojević, Zagorka",
year = "2022",
abstract = "This study presents the 51 mixtures of ceramic clays characterized by using XRF, XRD, granulometry, and dilatometry analyses. After firing in a 1000-1250 °C range, water absorption (WA) according to EN standards by boiling in water, under vacuum, and by 24 h soaking is determined. The results indicated that there was a high and statistically significant correlation between the standard methods, but the testing under vacuum gave the highest saturation of the samples fired at 1200 °C and 1250 °C. It is determined that these illitic-kaolinitic clays can be used to produce floor ceramic tiles belonging to the BIIa group (water absorption between 3% and 6%). The study also aimed to reveal which method of WA determination is suitable to read the sintering interval from the gresification diagrams, which is compared to the beginning of sintering as read from dilatometry curves.",
publisher = "Sociedad Espanola de Ceramica y Vidrio",
journal = "Boletin de la Sociedad Espanola de Ceramica y Vidrio",
title = "What is the most relevant method for water absorption determination in ceramic tiles produced by illitic-kaolinitic clays? The mystery behind the gresification diagram",
doi = "10.1016/j.bsecv.2020.11.006"
}

Vasić, M., Pezo, L., Vasić, M., Mijatović, N., Mitrić, M.,& Radojević, Z.. (2022). What is the most relevant method for water absorption determination in ceramic tiles produced by illitic-kaolinitic clays? The mystery behind the gresification diagram. in Boletin de la Sociedad Espanola de Ceramica y Vidrio
Sociedad Espanola de Ceramica y Vidrio..
https://doi.org/10.1016/j.bsecv.2020.11.006

Vasić M, Pezo L, Vasić M, Mijatović N, Mitrić M, Radojević Z. What is the most relevant method for water absorption determination in ceramic tiles produced by illitic-kaolinitic clays? The mystery behind the gresification diagram. in Boletin de la Sociedad Espanola de Ceramica y Vidrio. 2022;.
doi:10.1016/j.bsecv.2020.11.006 .

Vasić, Milica, Pezo, Lato, Vasić, Miloš, Mijatović, Nevenka, Mitrić, Miodrag, Radojević, Zagorka, "What is the most relevant method for water absorption determination in ceramic tiles produced by illitic-kaolinitic clays? The mystery behind the gresification diagram" in Boletin de la Sociedad Espanola de Ceramica y Vidrio (2022),
https://doi.org/10.1016/j.bsecv.2020.11.006 . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Radovanović, Lidija
AU  - Pezo, Lato
AU  - Radojević, Zagorka
PY  - 2022
UR  - http://rims.institutims.rs/handle/123456789/446
AB  - The usage possibility of 19 composites of raw refractory clays from Serbia containing approximately 53.29% of SiO2 and 26.73% of Al2O3 is presented. The sum of fluxing oxides was 57.74%, while these materials contained 32% of quartz, 29% of kaolinite and 26% of illite–mica. Dilatometry tests revealed a sudden shrinkage with the peak at approximately 1115 °C, owing to the formation of mullite. The refractoriness was in the range of 1581–1718 °C, which classifies the composites from low- to high-duty refractories. Based on correlation analysis, the refractoriness mostly depended on the content of alumina. The lightness of the fired test pieces was lower after firing when compared to the dry samples, and it decreased with the firing temperature from reddish to grayish. The study presents a novel attempt to define all the necessary properties of raw refractory clays and products fired at the 1100–1300 °C range on a laboratory level. Most of these clays can be used as natural refractory materials for ceramic and glass furnace lining. The organic matter in some of the samples influences negatively the fast-firing process.
T2  - Journal of Thermal Analysis and Calorimetry
T1  - Raw kaolinitic–illitic clays as high‑mechanical‑performance hydraulically pressed refractories
VL  - 147
DO  - 10.1007/s10973-022-11848-w
ER  - 

@article{
author = "Vasić, Milica and Radovanović, Lidija and Pezo, Lato and Radojević, Zagorka",
year = "2022",
abstract = "The usage possibility of 19 composites of raw refractory clays from Serbia containing approximately 53.29% of SiO2 and 26.73% of Al2O3 is presented. The sum of fluxing oxides was 57.74%, while these materials contained 32% of quartz, 29% of kaolinite and 26% of illite–mica. Dilatometry tests revealed a sudden shrinkage with the peak at approximately 1115 °C, owing to the formation of mullite. The refractoriness was in the range of 1581–1718 °C, which classifies the composites from low- to high-duty refractories. Based on correlation analysis, the refractoriness mostly depended on the content of alumina. The lightness of the fired test pieces was lower after firing when compared to the dry samples, and it decreased with the firing temperature from reddish to grayish. The study presents a novel attempt to define all the necessary properties of raw refractory clays and products fired at the 1100–1300 °C range on a laboratory level. Most of these clays can be used as natural refractory materials for ceramic and glass furnace lining. The organic matter in some of the samples influences negatively the fast-firing process.",
journal = "Journal of Thermal Analysis and Calorimetry",
title = "Raw kaolinitic–illitic clays as high‑mechanical‑performance hydraulically pressed refractories",
volume = "147",
doi = "10.1007/s10973-022-11848-w"
}

Vasić, M., Radovanović, L., Pezo, L.,& Radojević, Z.. (2022). Raw kaolinitic–illitic clays as high‑mechanical‑performance hydraulically pressed refractories. in Journal of Thermal Analysis and Calorimetry, 147.
https://doi.org/10.1007/s10973-022-11848-w

Vasić M, Radovanović L, Pezo L, Radojević Z. Raw kaolinitic–illitic clays as high‑mechanical‑performance hydraulically pressed refractories. in Journal of Thermal Analysis and Calorimetry. 2022;147.
doi:10.1007/s10973-022-11848-w .

Vasić, Milica, Radovanović, Lidija, Pezo, Lato, Radojević, Zagorka, "Raw kaolinitic–illitic clays as high‑mechanical‑performance hydraulically pressed refractories" in Journal of Thermal Analysis and Calorimetry, 147 (2022),
https://doi.org/10.1007/s10973-022-11848-w . .

Mijatović, N., Terzić, A., Pezo, L., Miličić, L.,& Živojinović, D.. (2021). Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva. .
https://hdl.handle.net/21.15107/rcub_rims_933

Mijatović N, Terzić A, Pezo L, Miličić L, Živojinović D. Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva. 2021;.
https://hdl.handle.net/21.15107/rcub_rims_933 .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Živojinović, Dragana, "Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva" (2021),
https://hdl.handle.net/21.15107/rcub_rims_933 .

Mijatović, N., Terzić, A., Pezo, L., Miličić, L.,& Živojinović, D.. (2021). Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva. .
https://hdl.handle.net/21.15107/rcub_rims_932

Mijatović N, Terzić A, Pezo L, Miličić L, Živojinović D. Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva. 2021;.
https://hdl.handle.net/21.15107/rcub_rims_932 .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Živojinović, Dragana, "Modifikacija i unapređenje energetsko-disperzivne rendgensko fluorescentne metode za određivanje sadržaja deset elemenata u eluatima cementnih veziva" (2021),
https://hdl.handle.net/21.15107/rcub_rims_932 .

Terzić, A., Radulović, D., Pezo, M., Stojanović, J., Pezo, L.,& Andrić, L.. (2021). Laboratorijski razvijena metoda zasnovana na veštačkim neuronskim mrežama za predikciju svojstava cementnih veziva na bazi mehano-aktiviranog pirofilita. .
https://hdl.handle.net/21.15107/rcub_rims_931

Terzić A, Radulović D, Pezo M, Stojanović J, Pezo L, Andrić L. Laboratorijski razvijena metoda zasnovana na veštačkim neuronskim mrežama za predikciju svojstava cementnih veziva na bazi mehano-aktiviranog pirofilita. 2021;.
https://hdl.handle.net/21.15107/rcub_rims_931 .

Terzić, Anja, Radulović, Dragan, Pezo, Milada, Stojanović, Jovica, Pezo, Lato, Andrić, Ljubiša, "Laboratorijski razvijena metoda zasnovana na veštačkim neuronskim mrežama za predikciju svojstava cementnih veziva na bazi mehano-aktiviranog pirofilita" (2021),
https://hdl.handle.net/21.15107/rcub_rims_931 .

TY  - CONF
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Mijatović, Nevenka
AU  - Miličić, Ljiljana
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/896
AB  - Prediction of physico-mechanical and thermo-mechanical properties of cement mortars with different mineral additives based on materials’ starting compositions by means of machine learning models is an essential feature in contemporary civil engineering. In this study, the prediction of performances of seventeen mortar mixtures based on Portland cement (CEM I 42.5R) with mineral additives and subsequent comparison with properties of mortars in which various cement types were used as binders was conducted using artificial neural network (ANN) modeling. Analytical model comprised discrimination based on similarities and differences between composite mortars and mortars based on 6 different cement types (without additives). The employed cements were: ordinary Portland cement, moderate heat hydration cement, high early strength cement, low heath hydration cement, high sulphate resistant cement, calcium aluminate cement, and high alumina cement. The mineral additives used were: fly ash, bottom ash, zeolite, bentonite, perlite, vermiculite, pyrophyllite, micro silica, silica fume, spinel, chamotte, calcinated clay, kaoline clay, alumina, limestone, talc, and copper slag. This investigation designates the impacts of various process parameters, such as the concentration of SiO2 , Al 2 O3 , Fe 2 O3 , CaO, MgO, K2 O, Na 2 O, TiO2 , SO3 , and LoI, and their effects on the quality of mortars with additives. The characteristics of mortars were evaluated regarding the dependent parameters such as: pozzolanic activity, heath of hydration, setting time, compressive strength, split tensile strength, compressive and split tensile strength under various temperatures up to 1000 °C, refractoriness, and sulphate resistence. Cluster Analysis and Principal Component Analysis were used for estimating the effect of ascertained process parameters on the quality of cements and additives. Artificial neural network model was employed to foresee the quality of cement mortars with additives of discovered outputs and its results show the high suitability level of anticipation: 0.999 during the training period, which can be regarded appropriately enough to correctly predict the observed outputs in a wide range of processing parameters. The developed ANN model displayed high predictive accuracy and it can be used in civil engineering for prediction of properties of novel mineral additives if their chemical composition is known.
PB  - Belgrade : Serbian Ceramic Society
C3  - Serbian Ceramic Society Conference Advanced Ceramic and Application IX – New frontiers in multifunctional material science and processing, September 20-21, 2021; Belgrade
T1  - Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives
SP  - 88
UR  - https://hdl.handle.net/21.15107/rcub_rims_896
ER  - 

@conference{
author = "Terzić, Anja and Pezo, Lato and Pezo, Milada and Mijatović, Nevenka and Miličić, Ljiljana",
year = "2021",
abstract = "Prediction of physico-mechanical and thermo-mechanical properties of cement mortars with different mineral additives based on materials’ starting compositions by means of machine learning models is an essential feature in contemporary civil engineering. In this study, the prediction of performances of seventeen mortar mixtures based on Portland cement (CEM I 42.5R) with mineral additives and subsequent comparison with properties of mortars in which various cement types were used as binders was conducted using artificial neural network (ANN) modeling. Analytical model comprised discrimination based on similarities and differences between composite mortars and mortars based on 6 different cement types (without additives). The employed cements were: ordinary Portland cement, moderate heat hydration cement, high early strength cement, low heath hydration cement, high sulphate resistant cement, calcium aluminate cement, and high alumina cement. The mineral additives used were: fly ash, bottom ash, zeolite, bentonite, perlite, vermiculite, pyrophyllite, micro silica, silica fume, spinel, chamotte, calcinated clay, kaoline clay, alumina, limestone, talc, and copper slag. This investigation designates the impacts of various process parameters, such as the concentration of SiO2 , Al 2 O3 , Fe 2 O3 , CaO, MgO, K2 O, Na 2 O, TiO2 , SO3 , and LoI, and their effects on the quality of mortars with additives. The characteristics of mortars were evaluated regarding the dependent parameters such as: pozzolanic activity, heath of hydration, setting time, compressive strength, split tensile strength, compressive and split tensile strength under various temperatures up to 1000 °C, refractoriness, and sulphate resistence. Cluster Analysis and Principal Component Analysis were used for estimating the effect of ascertained process parameters on the quality of cements and additives. Artificial neural network model was employed to foresee the quality of cement mortars with additives of discovered outputs and its results show the high suitability level of anticipation: 0.999 during the training period, which can be regarded appropriately enough to correctly predict the observed outputs in a wide range of processing parameters. The developed ANN model displayed high predictive accuracy and it can be used in civil engineering for prediction of properties of novel mineral additives if their chemical composition is known.",
publisher = "Belgrade : Serbian Ceramic Society",
journal = "Serbian Ceramic Society Conference Advanced Ceramic and Application IX – New frontiers in multifunctional material science and processing, September 20-21, 2021; Belgrade",
title = "Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives",
pages = "88",
url = "https://hdl.handle.net/21.15107/rcub_rims_896"
}

Terzić, A., Pezo, L., Pezo, M., Mijatović, N.,& Miličić, L.. (2021). Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives. in Serbian Ceramic Society Conference Advanced Ceramic and Application IX – New frontiers in multifunctional material science and processing, September 20-21, 2021; Belgrade
Belgrade : Serbian Ceramic Society., 88.
https://hdl.handle.net/21.15107/rcub_rims_896

Terzić A, Pezo L, Pezo M, Mijatović N, Miličić L. Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives. in Serbian Ceramic Society Conference Advanced Ceramic and Application IX – New frontiers in multifunctional material science and processing, September 20-21, 2021; Belgrade. 2021;:88.
https://hdl.handle.net/21.15107/rcub_rims_896 .

Terzić, Anja, Pezo, Lato, Pezo, Milada, Mijatović, Nevenka, Miličić, Ljiljana, "Application of Artificial Neural Networks in performance prediction of cement mortars with various mineral additives" in Serbian Ceramic Society Conference Advanced Ceramic and Application IX – New frontiers in multifunctional material science and processing, September 20-21, 2021; Belgrade (2021):88,
https://hdl.handle.net/21.15107/rcub_rims_896 .

TY  - JOUR
AU  - Miličić, Ljiljana
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Mijatović, Nevenka
AU  - Brceski, Ilija
AU  - Vukelić, Nikola
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/400
AB  - Rare earth elements (REE) are frequently referred to as ingredients for enhancements in modem industry, as they are extensively applied in many industrial branches due to their accented electro-magnetic and optical properties. REE have end-utilizations as catalysts, magnets, and as dopants for ceramic materials. Rare earth minerals are scarce therefore the unconventional REE-containing resources such as waste materials and industrial byproducts are continuously being investigated. Coal combustion products comprise REE concentrations varying between 200 ppm and 1500 ppm. This quantity can be isolated though the extraction procedure. In this study, the five stages extraction was conducted on the coal combustion ash from the selected landfill site. The extractions of 32 elements (As, Ga, Ce, Be, Ge, Nd, Cr, Zr, Eu, Cu, Nb, Gd, Co, Mo, Dy, Li, Ag, W, Mn, Cd, Au, Ni, In, Hg, Pb, Sn, Ti, V, Sb, Th, Zn, and La) were conveyed. Chemical analyses were conducted via XRF, ICP-OES, ICP-MS, and MS techniques. The complexity of the obtained data was examined by Principal component analysis and Cluster analysis in order to derive interconnections between quantity of elements and landfill characteristics, as well as mutual relationships among the elements of interest, and to assess the accomplishment of REE recovery from the coal ash.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Assessment of Efficiency of Rare Earth Elements Recovery from Lignite Coal Combustion Ash via Five-Stage Extraction
EP  - 185
IS  - 2
SP  - 169
VL  - 53
DO  - 10.2298/SOS2102169M
ER  - 

@article{
author = "Miličić, Ljiljana and Terzić, Anja and Pezo, Lato and Mijatović, Nevenka and Brceski, Ilija and Vukelić, Nikola",
year = "2021",
abstract = "Rare earth elements (REE) are frequently referred to as ingredients for enhancements in modem industry, as they are extensively applied in many industrial branches due to their accented electro-magnetic and optical properties. REE have end-utilizations as catalysts, magnets, and as dopants for ceramic materials. Rare earth minerals are scarce therefore the unconventional REE-containing resources such as waste materials and industrial byproducts are continuously being investigated. Coal combustion products comprise REE concentrations varying between 200 ppm and 1500 ppm. This quantity can be isolated though the extraction procedure. In this study, the five stages extraction was conducted on the coal combustion ash from the selected landfill site. The extractions of 32 elements (As, Ga, Ce, Be, Ge, Nd, Cr, Zr, Eu, Cu, Nb, Gd, Co, Mo, Dy, Li, Ag, W, Mn, Cd, Au, Ni, In, Hg, Pb, Sn, Ti, V, Sb, Th, Zn, and La) were conveyed. Chemical analyses were conducted via XRF, ICP-OES, ICP-MS, and MS techniques. The complexity of the obtained data was examined by Principal component analysis and Cluster analysis in order to derive interconnections between quantity of elements and landfill characteristics, as well as mutual relationships among the elements of interest, and to assess the accomplishment of REE recovery from the coal ash.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Assessment of Efficiency of Rare Earth Elements Recovery from Lignite Coal Combustion Ash via Five-Stage Extraction",
pages = "185-169",
number = "2",
volume = "53",
doi = "10.2298/SOS2102169M"
}

Miličić, L., Terzić, A., Pezo, L., Mijatović, N., Brceski, I.,& Vukelić, N.. (2021). Assessment of Efficiency of Rare Earth Elements Recovery from Lignite Coal Combustion Ash via Five-Stage Extraction. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 53(2), 169-185.
https://doi.org/10.2298/SOS2102169M

Miličić L, Terzić A, Pezo L, Mijatović N, Brceski I, Vukelić N. Assessment of Efficiency of Rare Earth Elements Recovery from Lignite Coal Combustion Ash via Five-Stage Extraction. in Science of Sintering. 2021;53(2):169-185.
doi:10.2298/SOS2102169M .

Miličić, Ljiljana, Terzić, Anja, Pezo, Lato, Mijatović, Nevenka, Brceski, Ilija, Vukelić, Nikola, "Assessment of Efficiency of Rare Earth Elements Recovery from Lignite Coal Combustion Ash via Five-Stage Extraction" in Science of Sintering, 53, no. 2 (2021):169-185,
https://doi.org/10.2298/SOS2102169M . .

TY  - JOUR
AU  - Radomirović, Milena
AU  - Mijatović, Nevenka
AU  - Vasić, Milica
AU  - Tanaskovski, Bojan
AU  - Mandić, Milica
AU  - Pezo, Lato
AU  - Onjia, Antonije
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/396
AB  - Surface sediments collected from twelve stations in the Boka Kotorska Bay were analyzed for the level and distribution of twenty-six elements and ten oxides, grain sizes, organic matter, and carbonate content. Potentially toxic elements (Al, Fe, Mn, Cr, Zn, Ni, Cu, Pb, As, Co, U) were determined to assess the contamination status and potential environmental risk according to the single-element indices (enrichment factor (EF), geoaccumulation index (Igeo), contamination factor (CF)), and combined index (pollution load index (PLI)). The single-element indices EF and CF revealed that the surface marine sediment was moderately polluted with Pb, Cu, and Cr, while Igeo indicated moderate pollution with Ni > Cr > Zn > Cu > As and moderate to heavy pollution with Pb, as a result of the anthropogenic factors. The method of the combined effect of toxic elements, PLI, showed the highest pollution rate at the shipyard location in the Bay of Tivat. Pearson's correlation coefficient (r), principal component analysis (PCA), and cluster analysis (CA) were applied to highlight similarities and differences in the distribution of the investigated elements in the Bay, confirming the claim obtained by the pollution indices. The sediment contamination with most heavy metals, such as Cr, Zn, Ni, Cu, Pb, and As, has been identified in the Tivat Bay area.
PB  - Springer Heidelberg, Heidelberg
T2  - Environmental Science and Pollution Research
T1  - The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro
EP  - 53652
IS  - 38
SP  - 53629
VL  - 28
DO  - 10.1007/s11356-021-14382-8
ER  - 

@article{
author = "Radomirović, Milena and Mijatović, Nevenka and Vasić, Milica and Tanaskovski, Bojan and Mandić, Milica and Pezo, Lato and Onjia, Antonije",
year = "2021",
abstract = "Surface sediments collected from twelve stations in the Boka Kotorska Bay were analyzed for the level and distribution of twenty-six elements and ten oxides, grain sizes, organic matter, and carbonate content. Potentially toxic elements (Al, Fe, Mn, Cr, Zn, Ni, Cu, Pb, As, Co, U) were determined to assess the contamination status and potential environmental risk according to the single-element indices (enrichment factor (EF), geoaccumulation index (Igeo), contamination factor (CF)), and combined index (pollution load index (PLI)). The single-element indices EF and CF revealed that the surface marine sediment was moderately polluted with Pb, Cu, and Cr, while Igeo indicated moderate pollution with Ni > Cr > Zn > Cu > As and moderate to heavy pollution with Pb, as a result of the anthropogenic factors. The method of the combined effect of toxic elements, PLI, showed the highest pollution rate at the shipyard location in the Bay of Tivat. Pearson's correlation coefficient (r), principal component analysis (PCA), and cluster analysis (CA) were applied to highlight similarities and differences in the distribution of the investigated elements in the Bay, confirming the claim obtained by the pollution indices. The sediment contamination with most heavy metals, such as Cr, Zn, Ni, Cu, Pb, and As, has been identified in the Tivat Bay area.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Environmental Science and Pollution Research",
title = "The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro",
pages = "53652-53629",
number = "38",
volume = "28",
doi = "10.1007/s11356-021-14382-8"
}

Radomirović, M., Mijatović, N., Vasić, M., Tanaskovski, B., Mandić, M., Pezo, L.,& Onjia, A.. (2021). The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro. in Environmental Science and Pollution Research
Springer Heidelberg, Heidelberg., 28(38), 53629-53652.
https://doi.org/10.1007/s11356-021-14382-8

Radomirović M, Mijatović N, Vasić M, Tanaskovski B, Mandić M, Pezo L, Onjia A. The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro. in Environmental Science and Pollution Research. 2021;28(38):53629-53652.
doi:10.1007/s11356-021-14382-8 .

Radomirović, Milena, Mijatović, Nevenka, Vasić, Milica, Tanaskovski, Bojan, Mandić, Milica, Pezo, Lato, Onjia, Antonije, "The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro" in Environmental Science and Pollution Research, 28, no. 38 (2021):53629-53652,
https://doi.org/10.1007/s11356-021-14382-8 . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Gupta, Vivek
AU  - Chaudhary, Sandeep
AU  - Radojević, Zagorka
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/404
AB  - This study analyzed the last 20 years' data available on power plant coal ashes used in clay brick production. The statistical analysis has been carried out for a total of 302 cases based on the relevant parameters reported in the literature. The chemical composition of the clays and coal ashes, percentage incorporation and maximum particle size of ash, size of fired samples, peak firing temperature, and the corresponding soaking time were selected as inputs for modeling. The product characteristics i.e. open porosity, water absorption, and compressive strength was taken as output parameters. An artificial neural network model has been developed and showed a satisfactory fit to experimental data and predicted the observed output variables with the overall coefficient of determination (r(2)) of 0.972 during the training period. Besides, the reduced chi-square, mean bias error, root mean square error, and mean percentage error were utilized to check the correctness of the obtained model, which proved the network generalization capability. The sensitivity analysis of the model suggested that the quantity of Na2O coming from brick clays, the percentages of SiO2 and K2O coming from ashes, and MgO coming from clays were the most influential parameters in descending order for the ash-clay composite bricks' quality, mostly owing to the influence of fluxes during firing.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - An Artificial Neural Network-based Prediction Model for Utilization of Coal Ash in Production of Fired Clay Bricks: A review
EP  - 53
IS  - 1
SP  - 37
VL  - 53
DO  - 10.2298/SOS2101037V
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Gupta, Vivek and Chaudhary, Sandeep and Radojević, Zagorka",
year = "2021",
abstract = "This study analyzed the last 20 years' data available on power plant coal ashes used in clay brick production. The statistical analysis has been carried out for a total of 302 cases based on the relevant parameters reported in the literature. The chemical composition of the clays and coal ashes, percentage incorporation and maximum particle size of ash, size of fired samples, peak firing temperature, and the corresponding soaking time were selected as inputs for modeling. The product characteristics i.e. open porosity, water absorption, and compressive strength was taken as output parameters. An artificial neural network model has been developed and showed a satisfactory fit to experimental data and predicted the observed output variables with the overall coefficient of determination (r(2)) of 0.972 during the training period. Besides, the reduced chi-square, mean bias error, root mean square error, and mean percentage error were utilized to check the correctness of the obtained model, which proved the network generalization capability. The sensitivity analysis of the model suggested that the quantity of Na2O coming from brick clays, the percentages of SiO2 and K2O coming from ashes, and MgO coming from clays were the most influential parameters in descending order for the ash-clay composite bricks' quality, mostly owing to the influence of fluxes during firing.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "An Artificial Neural Network-based Prediction Model for Utilization of Coal Ash in Production of Fired Clay Bricks: A review",
pages = "53-37",
number = "1",
volume = "53",
doi = "10.2298/SOS2101037V"
}

Vasić, M., Pezo, L., Gupta, V., Chaudhary, S.,& Radojević, Z.. (2021). An Artificial Neural Network-based Prediction Model for Utilization of Coal Ash in Production of Fired Clay Bricks: A review. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 53(1), 37-53.
https://doi.org/10.2298/SOS2101037V

Vasić M, Pezo L, Gupta V, Chaudhary S, Radojević Z. An Artificial Neural Network-based Prediction Model for Utilization of Coal Ash in Production of Fired Clay Bricks: A review. in Science of Sintering. 2021;53(1):37-53.
doi:10.2298/SOS2101037V .

Vasić, Milica, Pezo, Lato, Gupta, Vivek, Chaudhary, Sandeep, Radojević, Zagorka, "An Artificial Neural Network-based Prediction Model for Utilization of Coal Ash in Production of Fired Clay Bricks: A review" in Science of Sintering, 53, no. 1 (2021):37-53,
https://doi.org/10.2298/SOS2101037V . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Terzić, Anja
AU  - Jovanović, Aca P.
AU  - Lončar, Biljana
AU  - Govedarica, Dragan
AU  - Kojić, Predrag
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/408
AB  - The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.
PB  - MDPI, Basel
T2  - Processes
T1  - Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture
IS  - 11
VL  - 9
DO  - 10.3390/pr9111991
ER  - 

@article{
author = "Pezo, Lato and Pezo, Milada and Terzić, Anja and Jovanović, Aca P. and Lončar, Biljana and Govedarica, Dragan and Kojić, Predrag",
year = "2021",
abstract = "The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.",
publisher = "MDPI, Basel",
journal = "Processes",
title = "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture",
number = "11",
volume = "9",
doi = "10.3390/pr9111991"
}

Pezo, L., Pezo, M., Terzić, A., Jovanović, A. P., Lončar, B., Govedarica, D.,& Kojić, P.. (2021). Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes
MDPI, Basel., 9(11).
https://doi.org/10.3390/pr9111991

Pezo L, Pezo M, Terzić A, Jovanović AP, Lončar B, Govedarica D, Kojić P. Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes. 2021;9(11).
doi:10.3390/pr9111991 .

Pezo, Lato, Pezo, Milada, Terzić, Anja, Jovanović, Aca P., Lončar, Biljana, Govedarica, Dragan, Kojić, Predrag, "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture" in Processes, 9, no. 11 (2021),
https://doi.org/10.3390/pr9111991 . .

Mijatović, N., Terzić, A., Pezo, L., Miličić, L.,& Živojinović, D.. (2020). Laboratorijski razvijena metoda za određivanje glavnih elemenata i elemenata u tragovima u uzorcima cementnih veziva pomoću energetsko disperzivne rendgensko fluorescentne (ED-XRF) tehnike. .
https://hdl.handle.net/21.15107/rcub_rims_930

Mijatović N, Terzić A, Pezo L, Miličić L, Živojinović D. Laboratorijski razvijena metoda za određivanje glavnih elemenata i elemenata u tragovima u uzorcima cementnih veziva pomoću energetsko disperzivne rendgensko fluorescentne (ED-XRF) tehnike. 2020;.
https://hdl.handle.net/21.15107/rcub_rims_930 .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Živojinović, Dragana, "Laboratorijski razvijena metoda za određivanje glavnih elemenata i elemenata u tragovima u uzorcima cementnih veziva pomoću energetsko disperzivne rendgensko fluorescentne (ED-XRF) tehnike" (2020),
https://hdl.handle.net/21.15107/rcub_rims_930 .

Vasić, M., Radojević, Z.,& Pezo, L.. (2020). Optimizacija kvaliteta suvih opeka na osnovu karakteristika polaznih sirovina pomoću matematičkog modela zasnovanog na veštačkim neuronskim mrežama. .
https://hdl.handle.net/21.15107/rcub_rims_929

Vasić M, Radojević Z, Pezo L. Optimizacija kvaliteta suvih opeka na osnovu karakteristika polaznih sirovina pomoću matematičkog modela zasnovanog na veštačkim neuronskim mrežama. 2020;.
https://hdl.handle.net/21.15107/rcub_rims_929 .

Vasić, Milica, Radojević, Zagorka, Pezo, Lato, "Optimizacija kvaliteta suvih opeka na osnovu karakteristika polaznih sirovina pomoću matematičkog modela zasnovanog na veštačkim neuronskim mrežama" (2020),
https://hdl.handle.net/21.15107/rcub_rims_929 .

TY  - GEN
AU  - Vasić, Milica
AU  - Vasić, Miloš
AU  - Mijatović, Nevenka
AU  - Radojević, Zagorka
AU  - Pezo, Lato
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/513
T1  - Optimizacija kompozitne mešavine domaćih prirodnih ilitsko-kaolinitskih glina za primenu u proizvodnji keramičkih pločica
UR  - https://hdl.handle.net/21.15107/rcub_rims_513
ER  - 

@misc{
author = "Vasić, Milica and Vasić, Miloš and Mijatović, Nevenka and Radojević, Zagorka and Pezo, Lato",
year = "2020",
title = "Optimizacija kompozitne mešavine domaćih prirodnih ilitsko-kaolinitskih glina za primenu u proizvodnji keramičkih pločica",
url = "https://hdl.handle.net/21.15107/rcub_rims_513"
}

Vasić, M., Vasić, M., Mijatović, N., Radojević, Z.,& Pezo, L.. (2020). Optimizacija kompozitne mešavine domaćih prirodnih ilitsko-kaolinitskih glina za primenu u proizvodnji keramičkih pločica. .
https://hdl.handle.net/21.15107/rcub_rims_513

Vasić M, Vasić M, Mijatović N, Radojević Z, Pezo L. Optimizacija kompozitne mešavine domaćih prirodnih ilitsko-kaolinitskih glina za primenu u proizvodnji keramičkih pločica. 2020;.
https://hdl.handle.net/21.15107/rcub_rims_513 .

Vasić, Milica, Vasić, Miloš, Mijatović, Nevenka, Radojević, Zagorka, Pezo, Lato, "Optimizacija kompozitne mešavine domaćih prirodnih ilitsko-kaolinitskih glina za primenu u proizvodnji keramičkih pločica" (2020),
https://hdl.handle.net/21.15107/rcub_rims_513 .

TY  - JOUR
AU  - Mijatović, Nevenka
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Miličić, Ljiljana
AU  - Živojinović, Dragana
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/377
AB  - A modification of an analytical procedure for the energy-dispersive X-ray fluorescence (EDXRF) quantification of ten chemical elements (As, Ba, Cd, Co, Cr, Cu, Mo, Ni, Pb and Zn) in the leachates obtained from cement binders was developed. Twenty-nine testing samples were used in the experiment. All samples were based on Portland cement. Fly ash of different origin, zeolite and bentonite were employed as mineral additives in the cement binders. Distilled water was used as the leachate. Validation of the modified EDXRF procedure was conducted in terms of limits of detection and quantification, working range, linearity, selectivity, precision, trueness, and robustness. Traceability of the procedure was established using certified reference materials. Uncertainty of measurement was confirmed via an "in-house" laboratory validation approach. The expanded uncertainties for the ten analysed elements were obtained for the entire working range of the EDXRF method. Robustness of the modified EDXRF procedure was assessed by means of a chemometric in-house approach. The results obtained by the modified X-ray fluorescence method were additionally correlated to those acquired by inductively coupled plasma optical emission spectrometry to confirm that EDXRF could be used as an effective and reliable alternative method for analysis of cement leachates.
PB  - Srpsko hemijsko društvo, Beograd
T2  - Journal of the Serbian Chemical Society
T1  - Improvement and modification of the energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates - A chemometric approach
EP  - 1619
IS  - 12
SP  - 1605
VL  - 85
DO  - 10.2298/JSC200501067M
ER  - 

@article{
author = "Mijatović, Nevenka and Terzić, Anja and Pezo, Lato and Miličić, Ljiljana and Živojinović, Dragana",
year = "2020",
abstract = "A modification of an analytical procedure for the energy-dispersive X-ray fluorescence (EDXRF) quantification of ten chemical elements (As, Ba, Cd, Co, Cr, Cu, Mo, Ni, Pb and Zn) in the leachates obtained from cement binders was developed. Twenty-nine testing samples were used in the experiment. All samples were based on Portland cement. Fly ash of different origin, zeolite and bentonite were employed as mineral additives in the cement binders. Distilled water was used as the leachate. Validation of the modified EDXRF procedure was conducted in terms of limits of detection and quantification, working range, linearity, selectivity, precision, trueness, and robustness. Traceability of the procedure was established using certified reference materials. Uncertainty of measurement was confirmed via an "in-house" laboratory validation approach. The expanded uncertainties for the ten analysed elements were obtained for the entire working range of the EDXRF method. Robustness of the modified EDXRF procedure was assessed by means of a chemometric in-house approach. The results obtained by the modified X-ray fluorescence method were additionally correlated to those acquired by inductively coupled plasma optical emission spectrometry to confirm that EDXRF could be used as an effective and reliable alternative method for analysis of cement leachates.",
publisher = "Srpsko hemijsko društvo, Beograd",
journal = "Journal of the Serbian Chemical Society",
title = "Improvement and modification of the energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates - A chemometric approach",
pages = "1619-1605",
number = "12",
volume = "85",
doi = "10.2298/JSC200501067M"
}

Mijatović, N., Terzić, A., Pezo, L., Miličić, L.,& Živojinović, D.. (2020). Improvement and modification of the energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates - A chemometric approach. in Journal of the Serbian Chemical Society
Srpsko hemijsko društvo, Beograd., 85(12), 1605-1619.
https://doi.org/10.2298/JSC200501067M

Mijatović N, Terzić A, Pezo L, Miličić L, Živojinović D. Improvement and modification of the energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates - A chemometric approach. in Journal of the Serbian Chemical Society. 2020;85(12):1605-1619.
doi:10.2298/JSC200501067M .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Živojinović, Dragana, "Improvement and modification of the energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates - A chemometric approach" in Journal of the Serbian Chemical Society, 85, no. 12 (2020):1605-1619,
https://doi.org/10.2298/JSC200501067M . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/383
AB  - This research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training cycles (r(2)): 0.580-0.907. Standard score analysis (SS) is performed to evaluate the optimal content of raw materials to gain adobe bricks. Optimal macro-oxides content was 53-66% SiO2, 4.6-7.5% Fe2O3, 12.5-18.2% Al2O3, 0.9-8.8% CaO, 1.2-3.6% MgO. The optimal quantity of alevrolite-sized particles varied between 46 and 65%, and clay-sized particles contents ranged from 20.4 to 40.6%.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)
VL  - 244
DO  - 10.1016/j.conbuildmat.2020.118342
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Radojević, Zagorka",
year = "2020",
abstract = "This research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training cycles (r(2)): 0.580-0.907. Standard score analysis (SS) is performed to evaluate the optimal content of raw materials to gain adobe bricks. Optimal macro-oxides content was 53-66% SiO2, 4.6-7.5% Fe2O3, 12.5-18.2% Al2O3, 0.9-8.8% CaO, 1.2-3.6% MgO. The optimal quantity of alevrolite-sized particles varied between 46 and 65%, and clay-sized particles contents ranged from 20.4 to 40.6%.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)",
volume = "244",
doi = "10.1016/j.conbuildmat.2020.118342"
}

Vasić, M., Pezo, L.,& Radojević, Z.. (2020). Optimization of adobe clay bricks based on the raw material properties (mathematical analysis). in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 244.
https://doi.org/10.1016/j.conbuildmat.2020.118342

Vasić M, Pezo L, Radojević Z. Optimization of adobe clay bricks based on the raw material properties (mathematical analysis). in Construction and Building Materials. 2020;244.
doi:10.1016/j.conbuildmat.2020.118342 .

Vasić, Milica, Pezo, Lato, Radojević, Zagorka, "Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)" in Construction and Building Materials, 244 (2020),
https://doi.org/10.1016/j.conbuildmat.2020.118342 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Milada
AU  - Stojanović, Jovica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
AU  - Andrić, Ljubiša
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/393
AB  - The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders
VL  - 258
DO  - 10.1016/j.conbuildmat.2020.119721
ER  - 

@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Milada and Stojanović, Jovica and Pezo, Lato and Radojević, Zagorka and Andrić, Ljubiša",
year = "2020",
abstract = "The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders",
volume = "258",
doi = "10.1016/j.conbuildmat.2020.119721"
}

Terzić, A., Radulović, D., Pezo, M., Stojanović, J., Pezo, L., Radojević, Z.,& Andrić, L.. (2020). Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 258.
https://doi.org/10.1016/j.conbuildmat.2020.119721

Terzić A, Radulović D, Pezo M, Stojanović J, Pezo L, Radojević Z, Andrić L. Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials. 2020;258.
doi:10.1016/j.conbuildmat.2020.119721 .

Terzić, Anja, Radulović, Dragan, Pezo, Milada, Stojanović, Jovica, Pezo, Lato, Radojević, Zagorka, Andrić, Ljubiša, "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders" in Construction and Building Materials, 258 (2020),
https://doi.org/10.1016/j.conbuildmat.2020.119721 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Miličić, Ljiljana
AU  - Mijatović, Nevenka
AU  - Radojević, Zagorka
AU  - Radulović, Dragan
AU  - Andrić, Ljubiša
PY  - 2019
UR  - http://rims.institutims.rs/handle/123456789/374
AB  - Mineral additives are extensively applied as cement replacement materials in both construction concrete and mortar. Fly ash is one of the most commonly utilized additives which improve Theological properties, as well as thermal and mechanical behavior of mortar, and as such it has been widely investigated. This industrial byproduct comprises heavy metals in its composition; therefore further research is needed to optimize its effective dosage. Moreover, certain sorptive clays, such as natural zeolite and bentonite, can prevent migration of toxic elements from fly ash by immobilizing them in their structure. Ten experimental mortars are prepared with Portland cement, river sand and addition of fly ash, zeolite and/or bentonite in accordance with chemometric experimental design rules. The aim of the study was to investigate the effect of mineral additives on thermal and mechanical performances of mortar. Thermal characteristics were monitored via dilatometric analysis and DTA method. Principal component analysis was used on the results of physico-mechanical testing (workability, bulk density, water absorption, shrinkage, compressive and flexural strength) to enable the divisions of the observed samples into groups in the factor space. The performance of Artificial Neural Network was compared with the experimental data in order to develop rapid and accurate method for prediction of mechanical parameters of mortar. The ANN model showed high overall prediction accuracy (r(2) = 0.989, during training cycle). The test results indicate that incorporation of the mineral additives gave cost effective mortars with sufficiently good properties. However, tools of analytical modeling highlighted mortar with zeolite and fly ash as the optimal composition regarding its mechanical performance.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash
EP  - 56
IS  - 1
SP  - 39
VL  - 51
DO  - 10.2298/SOS1901039T
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Miličić, Ljiljana and Mijatović, Nevenka and Radojević, Zagorka and Radulović, Dragan and Andrić, Ljubiša",
year = "2019",
abstract = "Mineral additives are extensively applied as cement replacement materials in both construction concrete and mortar. Fly ash is one of the most commonly utilized additives which improve Theological properties, as well as thermal and mechanical behavior of mortar, and as such it has been widely investigated. This industrial byproduct comprises heavy metals in its composition; therefore further research is needed to optimize its effective dosage. Moreover, certain sorptive clays, such as natural zeolite and bentonite, can prevent migration of toxic elements from fly ash by immobilizing them in their structure. Ten experimental mortars are prepared with Portland cement, river sand and addition of fly ash, zeolite and/or bentonite in accordance with chemometric experimental design rules. The aim of the study was to investigate the effect of mineral additives on thermal and mechanical performances of mortar. Thermal characteristics were monitored via dilatometric analysis and DTA method. Principal component analysis was used on the results of physico-mechanical testing (workability, bulk density, water absorption, shrinkage, compressive and flexural strength) to enable the divisions of the observed samples into groups in the factor space. The performance of Artificial Neural Network was compared with the experimental data in order to develop rapid and accurate method for prediction of mechanical parameters of mortar. The ANN model showed high overall prediction accuracy (r(2) = 0.989, during training cycle). The test results indicate that incorporation of the mineral additives gave cost effective mortars with sufficiently good properties. However, tools of analytical modeling highlighted mortar with zeolite and fly ash as the optimal composition regarding its mechanical performance.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash",
pages = "56-39",
number = "1",
volume = "51",
doi = "10.2298/SOS1901039T"
}

Terzić, A., Pezo, L., Miličić, L., Mijatović, N., Radojević, Z., Radulović, D.,& Andrić, L.. (2019). Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 51(1), 39-56.
https://doi.org/10.2298/SOS1901039T

Terzić A, Pezo L, Miličić L, Mijatović N, Radojević Z, Radulović D, Andrić L. Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash. in Science of Sintering. 2019;51(1):39-56.
doi:10.2298/SOS1901039T .

Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Mijatović, Nevenka, Radojević, Zagorka, Radulović, Dragan, Andrić, Ljubiša, "Thermal and Mechanical Behavior of Composite Mortars Containing Natural Sorptive Clays and Fly Ash" in Science of Sintering, 51, no. 1 (2019):39-56,
https://doi.org/10.2298/SOS1901039T . .

TY  - JOUR
AU  - Mijatović, Nevenka
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Miličić, Ljiljana
AU  - Milosavljević, Aleksandra
AU  - Živojinović, Dragana
PY  - 2019
UR  - http://rims.institutims.rs/handle/123456789/369
AB  - New global tendencies for waste materials reusing in building materials are imposing the request for improved performances of chemical analysis methods and the improvements of matrices used. A new method for optical emission spectrometry with inductively coupled plasma (ICP-OES) is developed and validated for the chemical analysis (35 elements: Al, Be, Cd, So, Cr, Cu, Fe, Mn, Mo, Ni, V, Mo, Zn, Pb , Bi, Si, Zr, W, As, Se, Sb, Sn, Ti, Ba, B, Ag, Mg, Ca, K, Na, S, P, Ga, In, Li) in leachate of fly ash. Validation performances and the uncertainty of measurement were resolved. Uncertainty of measurements were resolved by three routes: validation procedure, participation in proficiency testing (PT) schemes and standard method. The obtained method is a new simple and effective analyzing route for determination of undesired trace elements and their quantity comprised in leachates of fly ash, and leachates of building materials with addition of fly ash (cement binders and mortars). In order to prove its accuracy and precision, the developed method was employed on laboratory samples of cement binders and mortars. Results were compared with limit values provided in the standard. Multivariate analyses, i.e. cluster analysis and principal component analysis, were applied to establish interrelations between analyzed samples, and to certify the developed ICP-OES method.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Novel Approach for Determination of Potentially Toxic Elements via ICP-OES in Aqueous Solutions of Building Materials with Industrial Byproduct Addition
EP  - 444
IS  - 4
SP  - 429
VL  - 51
DO  - 10.2298/SOS1904429M
ER  - 

@article{
author = "Mijatović, Nevenka and Terzić, Anja and Pezo, Lato and Miličić, Ljiljana and Milosavljević, Aleksandra and Živojinović, Dragana",
year = "2019",
abstract = "New global tendencies for waste materials reusing in building materials are imposing the request for improved performances of chemical analysis methods and the improvements of matrices used. A new method for optical emission spectrometry with inductively coupled plasma (ICP-OES) is developed and validated for the chemical analysis (35 elements: Al, Be, Cd, So, Cr, Cu, Fe, Mn, Mo, Ni, V, Mo, Zn, Pb , Bi, Si, Zr, W, As, Se, Sb, Sn, Ti, Ba, B, Ag, Mg, Ca, K, Na, S, P, Ga, In, Li) in leachate of fly ash. Validation performances and the uncertainty of measurement were resolved. Uncertainty of measurements were resolved by three routes: validation procedure, participation in proficiency testing (PT) schemes and standard method. The obtained method is a new simple and effective analyzing route for determination of undesired trace elements and their quantity comprised in leachates of fly ash, and leachates of building materials with addition of fly ash (cement binders and mortars). In order to prove its accuracy and precision, the developed method was employed on laboratory samples of cement binders and mortars. Results were compared with limit values provided in the standard. Multivariate analyses, i.e. cluster analysis and principal component analysis, were applied to establish interrelations between analyzed samples, and to certify the developed ICP-OES method.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Novel Approach for Determination of Potentially Toxic Elements via ICP-OES in Aqueous Solutions of Building Materials with Industrial Byproduct Addition",
pages = "444-429",
number = "4",
volume = "51",
doi = "10.2298/SOS1904429M"
}

Mijatović, N., Terzić, A., Pezo, L., Miličić, L., Milosavljević, A.,& Živojinović, D.. (2019). Novel Approach for Determination of Potentially Toxic Elements via ICP-OES in Aqueous Solutions of Building Materials with Industrial Byproduct Addition. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 51(4), 429-444.
https://doi.org/10.2298/SOS1904429M

Mijatović N, Terzić A, Pezo L, Miličić L, Milosavljević A, Živojinović D. Novel Approach for Determination of Potentially Toxic Elements via ICP-OES in Aqueous Solutions of Building Materials with Industrial Byproduct Addition. in Science of Sintering. 2019;51(4):429-444.
doi:10.2298/SOS1904429M .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Milosavljević, Aleksandra, Živojinović, Dragana, "Novel Approach for Determination of Potentially Toxic Elements via ICP-OES in Aqueous Solutions of Building Materials with Industrial Byproduct Addition" in Science of Sintering, 51, no. 4 (2019):429-444,
https://doi.org/10.2298/SOS1904429M . .

TY  - JOUR
AU  - Mijatović, Nevenka
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Miličić, Ljiljana
AU  - Živojinović, Dragana
PY  - 2019
UR  - http://rims.institutims.rs/handle/123456789/363
AB  - Adjustment and subsequent validation of energy-dispersive X-ray fluorescence (ED-XRF) method for cement based binders with addition of mineral raw materials (fly ash, zeolite and bentonite) was conducted. Eighteen chemical elements present in the material composition were analyzed: ten major elements (Si, Al, Fe, Ca, Mg, S, Na, K, Ti, P) and eight trace elements (Cr, Zn, Cu, As, Ni, Pb, Sr, Mn). Thirty-five samples of either certified reference materials or reference materials of cement, fly ash and clay were utilized during adjustment and optimization of the investigated ED-XRF procedure. The method was consecutively validated in terms of selectivity, precision, working range, linearity, accuracy, robustness, limits of detection and quantification. Thirty-two samples in total, i.e. three certified reference materials and twenty-nine reference materials, were simultaneously analyzed by ED-XRF and inductively coupled plasma optical emission spectrometry (ICP-OES). Comparison of the outputs of monitored methods showed infinitesimally small differences, as correlation coefficients were extremely good (approximate to 1), which highlighted ED-XRF as highly satiable alternative for ICP-OES for the chemical analysis of cement binders.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Spectrochimica Acta Part B-Atomic Spectroscopy
T1  - Validation of energy-dispersive X-ray fluorescence procedure for determination of major and trace elements present in the cement based composites
VL  - 162
DO  - 10.1016/j.sab.2019.105729
ER  - 

@article{
author = "Mijatović, Nevenka and Terzić, Anja and Pezo, Lato and Miličić, Ljiljana and Živojinović, Dragana",
year = "2019",
abstract = "Adjustment and subsequent validation of energy-dispersive X-ray fluorescence (ED-XRF) method for cement based binders with addition of mineral raw materials (fly ash, zeolite and bentonite) was conducted. Eighteen chemical elements present in the material composition were analyzed: ten major elements (Si, Al, Fe, Ca, Mg, S, Na, K, Ti, P) and eight trace elements (Cr, Zn, Cu, As, Ni, Pb, Sr, Mn). Thirty-five samples of either certified reference materials or reference materials of cement, fly ash and clay were utilized during adjustment and optimization of the investigated ED-XRF procedure. The method was consecutively validated in terms of selectivity, precision, working range, linearity, accuracy, robustness, limits of detection and quantification. Thirty-two samples in total, i.e. three certified reference materials and twenty-nine reference materials, were simultaneously analyzed by ED-XRF and inductively coupled plasma optical emission spectrometry (ICP-OES). Comparison of the outputs of monitored methods showed infinitesimally small differences, as correlation coefficients were extremely good (approximate to 1), which highlighted ED-XRF as highly satiable alternative for ICP-OES for the chemical analysis of cement binders.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Spectrochimica Acta Part B-Atomic Spectroscopy",
title = "Validation of energy-dispersive X-ray fluorescence procedure for determination of major and trace elements present in the cement based composites",
volume = "162",
doi = "10.1016/j.sab.2019.105729"
}

Mijatović, N., Terzić, A., Pezo, L., Miličić, L.,& Živojinović, D.. (2019). Validation of energy-dispersive X-ray fluorescence procedure for determination of major and trace elements present in the cement based composites. in Spectrochimica Acta Part B-Atomic Spectroscopy
Pergamon-Elsevier Science Ltd, Oxford., 162.
https://doi.org/10.1016/j.sab.2019.105729

Mijatović N, Terzić A, Pezo L, Miličić L, Živojinović D. Validation of energy-dispersive X-ray fluorescence procedure for determination of major and trace elements present in the cement based composites. in Spectrochimica Acta Part B-Atomic Spectroscopy. 2019;162.
doi:10.1016/j.sab.2019.105729 .

Mijatović, Nevenka, Terzić, Anja, Pezo, Lato, Miličić, Ljiljana, Živojinović, Dragana, "Validation of energy-dispersive X-ray fluorescence procedure for determination of major and trace elements present in the cement based composites" in Spectrochimica Acta Part B-Atomic Spectroscopy, 162 (2019),
https://doi.org/10.1016/j.sab.2019.105729 . .

TY  - CHAP
AU  - Terzić, Anja
AU  - Pezo, Lato
PY  - 2019
UR  - http://rims.institutims.rs/handle/123456789/359
AB  - The effectiveness of employment of mechano-chemical activation in the production of high temperature ceramic coating materials was assessed. The properties of mineral fillers are directly dependant on the choice of activation variables. Mathematical modeling was employed for optimization of ultra-centrifugal pulverization and determination of optimal characteristics of investigated materials. The properties of treated resources were mathematically correlated to the variations in their granulometry. The dependencies between the set of the activation parameters and characteristics of a material were mathematically modeled and estimated. Chemometric methods were employed in the calculations. The samples are classified by Principal Component Analysis, while comprehensive comparison between analyzed samples was achieved by Response Surface Method and Standard Score. Mathematical models predict the quality parameters of activated powders with high accuracy in a broad range of processing parameters. The r2 values were in the range from 0.71 to 0.98 for established models for processing of talc, mica, fly ash and alumina powders. The set of processing parameters related to the 120 Μm sieve mesh size was selected as optimal procedure with acquired standard score values 0.7 for mica, 1.0 for talc, 0.9 for fly ash and alumina. Optimal processing parameters can diminish the negative effect of raw materials inherent properties on the target score, which in return enhances energetic and economic sustainability of the mechano-chemical activation of resource materials utilized in the production of ceramic coating materials.
PB  - Wiley
T2  - Photoenergy and Thin Film Materials
T1  - Assessment of the effectiveness of producing mineral fillers via pulverization for ceramic coating materials
EP  - 562
SP  - 537
DO  - 10.1002/9781119580546.ch13
ER  - 

@inbook{
author = "Terzić, Anja and Pezo, Lato",
year = "2019",
abstract = "The effectiveness of employment of mechano-chemical activation in the production of high temperature ceramic coating materials was assessed. The properties of mineral fillers are directly dependant on the choice of activation variables. Mathematical modeling was employed for optimization of ultra-centrifugal pulverization and determination of optimal characteristics of investigated materials. The properties of treated resources were mathematically correlated to the variations in their granulometry. The dependencies between the set of the activation parameters and characteristics of a material were mathematically modeled and estimated. Chemometric methods were employed in the calculations. The samples are classified by Principal Component Analysis, while comprehensive comparison between analyzed samples was achieved by Response Surface Method and Standard Score. Mathematical models predict the quality parameters of activated powders with high accuracy in a broad range of processing parameters. The r2 values were in the range from 0.71 to 0.98 for established models for processing of talc, mica, fly ash and alumina powders. The set of processing parameters related to the 120 Μm sieve mesh size was selected as optimal procedure with acquired standard score values 0.7 for mica, 1.0 for talc, 0.9 for fly ash and alumina. Optimal processing parameters can diminish the negative effect of raw materials inherent properties on the target score, which in return enhances energetic and economic sustainability of the mechano-chemical activation of resource materials utilized in the production of ceramic coating materials.",
publisher = "Wiley",
journal = "Photoenergy and Thin Film Materials",
booktitle = "Assessment of the effectiveness of producing mineral fillers via pulverization for ceramic coating materials",
pages = "562-537",
doi = "10.1002/9781119580546.ch13"
}

Terzić, A.,& Pezo, L.. (2019). Assessment of the effectiveness of producing mineral fillers via pulverization for ceramic coating materials. in Photoenergy and Thin Film Materials
Wiley., 537-562.
https://doi.org/10.1002/9781119580546.ch13

Terzić A, Pezo L. Assessment of the effectiveness of producing mineral fillers via pulverization for ceramic coating materials. in Photoenergy and Thin Film Materials. 2019;:537-562.
doi:10.1002/9781119580546.ch13 .

Terzić, Anja, Pezo, Lato, "Assessment of the effectiveness of producing mineral fillers via pulverization for ceramic coating materials" in Photoenergy and Thin Film Materials (2019):537-562,
https://doi.org/10.1002/9781119580546.ch13 . .