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  - Pezo, Lato
AU  - Zdravković, Jelena
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2018
UR  - http://rims.institutims.rs/handle/123456789/351
AB  - The main idea of this research was to evaluate rice and sunflower hulls, sawdust and their ashes, as additives in clay brick production using mathematical analysis. All available papers, containing the parameters of interest, were used in the study, which consisted of total 316 cases, obtained from the literature. The major oxide content of clays and mixtures, then weight percent addition and particle size ranges of secondary raw materials, and process parameters (firing temperature, soaking time and average heating rate) were selected as inputs to mathematical models. Shaping moist was the only parameter characterizing transition state of the products analyzed as an output parameter. The other parameters described the fired product quality: linear shrinkage, bulk density, water absorption, compressive and bending strength. The main goal was to find the relationships and the main influences between raw material properties, process parameters, and the quality of the obtained products and mixtures, by using mathematical tools. Statistical and mathematical analyses were applied for prediction of final product quality. Developed artificial neural network empirical models (ANNs) give a reasonable fit to experimental data and successfully predict the most of the observed output variables, showing the good prediction capabilities (coefficient of determination varied between 0.714 and 0.998). Sensitivity analysis showed that, among all the studied parameters concerning raw materials and process parameters, the dominant influence belonged to loss on ignition.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)
EP  - 1276
IS  - 2
SP  - 1269
VL  - 44
DO  - 10.1016/j.ceramint.2017.10.191
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Zdravković, Jelena and Stanković, Slavka and Radojević, Zagorka",
year = "2018",
abstract = "The main idea of this research was to evaluate rice and sunflower hulls, sawdust and their ashes, as additives in clay brick production using mathematical analysis. All available papers, containing the parameters of interest, were used in the study, which consisted of total 316 cases, obtained from the literature. The major oxide content of clays and mixtures, then weight percent addition and particle size ranges of secondary raw materials, and process parameters (firing temperature, soaking time and average heating rate) were selected as inputs to mathematical models. Shaping moist was the only parameter characterizing transition state of the products analyzed as an output parameter. The other parameters described the fired product quality: linear shrinkage, bulk density, water absorption, compressive and bending strength. The main goal was to find the relationships and the main influences between raw material properties, process parameters, and the quality of the obtained products and mixtures, by using mathematical tools. Statistical and mathematical analyses were applied for prediction of final product quality. Developed artificial neural network empirical models (ANNs) give a reasonable fit to experimental data and successfully predict the most of the observed output variables, showing the good prediction capabilities (coefficient of determination varied between 0.714 and 0.998). Sensitivity analysis showed that, among all the studied parameters concerning raw materials and process parameters, the dominant influence belonged to loss on ignition.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)",
pages = "1276-1269",
number = "2",
volume = "44",
doi = "10.1016/j.ceramint.2017.10.191"
}

Vasić, M., Pezo, L., Zdravković, J., Stanković, S.,& Radojević, Z.. (2018). Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review). in Ceramics International
Elsevier Sci Ltd, Oxford., 44(2), 1269-1276.
https://doi.org/10.1016/j.ceramint.2017.10.191

Vasić M, Pezo L, Zdravković J, Stanković S, Radojević Z. Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review). in Ceramics International. 2018;44(2):1269-1276.
doi:10.1016/j.ceramint.2017.10.191 .

Vasić, Milica, Pezo, Lato, Zdravković, Jelena, Stanković, Slavka, Radojević, Zagorka, "Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)" in Ceramics International, 44, no. 2 (2018):1269-1276,
https://doi.org/10.1016/j.ceramint.2017.10.191 . .

TY  - JOUR
AU  - Tanaskovski, Bojan
AU  - Jović, Mihajlo
AU  - Miličić, Ljiljana
AU  - Pezo, Lato
AU  - Mandić, Milica
AU  - Stanković, Slavka
PY  - 2016
UR  - http://rims.institutims.rs/handle/123456789/293
AB  - The spatial distribution of major oxides (Na2O, K2O, SiO2, Al2O3, Fe2O3, CaO, MgO, MnO, TiO2, P2O5) and numerous elements (Cr, Co, Ni, Cu, Zn, As, Se, Pb, Sn, Sb, Ba, Sr, Br, Rb, Zr, Mo, Cs, Y, V, Ga, La, U, Th, Nb, W, Sc, Ge, Gd, Yb, Hf, and Ce) was determined by using energy dispersive X-ray fluorescence spectrometry on the basis of previously measured organic matter and carbonates. The optimal measuring variables for the investigated oxides and elements were determined by using five standard reference materials. The carbonated sediment type can be determined on the basis of the highest Sr, Sc, La, Nb, Hf, and Yb concentrations followed with the lowest concentrations of the remaining elements and the negative Ce anomaly. The complexity of the obtained data was also examined by principal component analysis (PCA) and cluster analysis (CA) in the identifying geochemical composition of the surface sediment. Boka Kotorska bay's geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.
PB  - Springer Heidelberg, Heidelberg
T2  - Environmental Science and Pollution Research
T1  - The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea
EP  - 11789
IS  - 12
SP  - 11777
VL  - 23
DO  - 10.1007/s11356-016-6353-6
ER  - 

@article{
author = "Tanaskovski, Bojan and Jović, Mihajlo and Miličić, Ljiljana and Pezo, Lato and Mandić, Milica and Stanković, Slavka",
year = "2016",
abstract = "The spatial distribution of major oxides (Na2O, K2O, SiO2, Al2O3, Fe2O3, CaO, MgO, MnO, TiO2, P2O5) and numerous elements (Cr, Co, Ni, Cu, Zn, As, Se, Pb, Sn, Sb, Ba, Sr, Br, Rb, Zr, Mo, Cs, Y, V, Ga, La, U, Th, Nb, W, Sc, Ge, Gd, Yb, Hf, and Ce) was determined by using energy dispersive X-ray fluorescence spectrometry on the basis of previously measured organic matter and carbonates. The optimal measuring variables for the investigated oxides and elements were determined by using five standard reference materials. The carbonated sediment type can be determined on the basis of the highest Sr, Sc, La, Nb, Hf, and Yb concentrations followed with the lowest concentrations of the remaining elements and the negative Ce anomaly. The complexity of the obtained data was also examined by principal component analysis (PCA) and cluster analysis (CA) in the identifying geochemical composition of the surface sediment. Boka Kotorska bay's geographical position, orographical configuration, and hydrographic characteristics influence the geochemistry model of the surface sediment, quite different from the open sea.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Environmental Science and Pollution Research",
title = "The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea",
pages = "11789-11777",
number = "12",
volume = "23",
doi = "10.1007/s11356-016-6353-6"
}

Tanaskovski, B., Jović, M., Miličić, L., Pezo, L., Mandić, M.,& Stanković, S.. (2016). The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea. in Environmental Science and Pollution Research
Springer Heidelberg, Heidelberg., 23(12), 11777-11789.
https://doi.org/10.1007/s11356-016-6353-6

Tanaskovski B, Jović M, Miličić L, Pezo L, Mandić M, Stanković S. The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea. in Environmental Science and Pollution Research. 2016;23(12):11777-11789.
doi:10.1007/s11356-016-6353-6 .

Tanaskovski, Bojan, Jović, Mihajlo, Miličić, Ljiljana, Pezo, Lato, Mandić, Milica, Stanković, Slavka, "The geochemistry model of the surface sediment determined by using ED-XRF technique: a case study of the Boka Kotorska bay, Adriatic Sea" in Environmental Science and Pollution Research, 23, no. 12 (2016):11777-11789,
https://doi.org/10.1007/s11356-016-6353-6 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/273
AB  - Chemical composition and XRD qualitative analysis were used to calculate mineral contents of 139 brick clay raw materials using LPNORM. The second order polynomial models (SOP) for all the samples, which express the relation between mineral contents and the characteristics of fired laboratory products, did not fit to experimental data satisfactorily, due to low coefficients of determination (r(2)). In order to improve the models, the samples are divided into four groups in factor space (four quadrants), according to their mineral content similarity, using principal component analysis (PCA). Predictive models of compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and volume mass of cubes (VMC) are obtained for each of the groups. Second order polynomial (SOP) models are developed, and the influence of certain minerals to brick clay bricks quality within the groups is discussed. Developed models were able to predict the final quality of products in a wide range of mineral content and temperature treatment data, showing coefficient of determination (r(2)) in range between 0.704-0.995. In order to estimate the adequacy of these models, the results were applied to the experimental data and compared according to additional statistical tests, so the next values are determined: coefficients of determination, reduced chi-square (chi(2)), mean bias error (MBE), mean percent error (MPE) and root mean square error (RMSE).
PB  - Elsevier Science Bv, Amsterdam
T2  - Applied Clay Science
T1  - Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality
EP  - 114
SP  - 108
VL  - 115
DO  - 10.1016/j.clay.2015.07.030
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Stanković, Slavka and Radojević, Zagorka",
year = "2015",
abstract = "Chemical composition and XRD qualitative analysis were used to calculate mineral contents of 139 brick clay raw materials using LPNORM. The second order polynomial models (SOP) for all the samples, which express the relation between mineral contents and the characteristics of fired laboratory products, did not fit to experimental data satisfactorily, due to low coefficients of determination (r(2)). In order to improve the models, the samples are divided into four groups in factor space (four quadrants), according to their mineral content similarity, using principal component analysis (PCA). Predictive models of compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and volume mass of cubes (VMC) are obtained for each of the groups. Second order polynomial (SOP) models are developed, and the influence of certain minerals to brick clay bricks quality within the groups is discussed. Developed models were able to predict the final quality of products in a wide range of mineral content and temperature treatment data, showing coefficient of determination (r(2)) in range between 0.704-0.995. In order to estimate the adequacy of these models, the results were applied to the experimental data and compared according to additional statistical tests, so the next values are determined: coefficients of determination, reduced chi-square (chi(2)), mean bias error (MBE), mean percent error (MPE) and root mean square error (RMSE).",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Applied Clay Science",
title = "Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality",
pages = "114-108",
volume = "115",
doi = "10.1016/j.clay.2015.07.030"
}

Arsenović, M., Pezo, L., Stanković, S.,& Radojević, Z.. (2015). Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality. in Applied Clay Science
Elsevier Science Bv, Amsterdam., 115, 108-114.
https://doi.org/10.1016/j.clay.2015.07.030

Arsenović M, Pezo L, Stanković S, Radojević Z. Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality. in Applied Clay Science. 2015;115:108-114.
doi:10.1016/j.clay.2015.07.030 .

Arsenović, Milica, Pezo, Lato, Stanković, Slavka, Radojević, Zagorka, "Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality" in Applied Clay Science, 115 (2015):108-114,
https://doi.org/10.1016/j.clay.2015.07.030 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
AU  - Pezo, Lato
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/246
AB  - Factors influencing final clay brick properties are numerous, since the raw materials are highly heterogeneous. The chemometric approach is rarely used in analysis in this field, although it could significantly improve understanding of the overall system behavior and the quality of products. Principal component analysis (PCA) was used on a group of 139 samples collected in Serbia to discriminate groups of samples according to similarity of chemical composition and fired laboratory products properties. The focus of this study was to determine the importance of parameters that describe clay brick production and quality, depending on final usage of raw material in the clay brick industry. A fuzzy synthetic evaluation, using a membership trapezoidal function with defined optimal interval values for different types of heavy clay products, is chosen for the study. The optimal sample's chemical composition and firing temperature were chosen by the fuzzy synthetic evaluation, regarding the kind of the heavy clay product.
PB  - Expert Fachmedien GmbH
T2  - InterCeram: International Ceramic Review
T1  - The effects of chemical composition and firing temperature in heavy clay brick production - Chemometric approach
EP  - 29
IS  - 1-2
SP  - 26
VL  - 63
DO  - 10.1007/bf03401031
ER  - 

@article{
author = "Arsenović, Milica and Stanković, Slavka and Radojević, Zagorka and Pezo, Lato",
year = "2014",
abstract = "Factors influencing final clay brick properties are numerous, since the raw materials are highly heterogeneous. The chemometric approach is rarely used in analysis in this field, although it could significantly improve understanding of the overall system behavior and the quality of products. Principal component analysis (PCA) was used on a group of 139 samples collected in Serbia to discriminate groups of samples according to similarity of chemical composition and fired laboratory products properties. The focus of this study was to determine the importance of parameters that describe clay brick production and quality, depending on final usage of raw material in the clay brick industry. A fuzzy synthetic evaluation, using a membership trapezoidal function with defined optimal interval values for different types of heavy clay products, is chosen for the study. The optimal sample's chemical composition and firing temperature were chosen by the fuzzy synthetic evaluation, regarding the kind of the heavy clay product.",
publisher = "Expert Fachmedien GmbH",
journal = "InterCeram: International Ceramic Review",
title = "The effects of chemical composition and firing temperature in heavy clay brick production - Chemometric approach",
pages = "29-26",
number = "1-2",
volume = "63",
doi = "10.1007/bf03401031"
}

Arsenović, M., Stanković, S., Radojević, Z.,& Pezo, L.. (2014). The effects of chemical composition and firing temperature in heavy clay brick production - Chemometric approach. in InterCeram: International Ceramic Review
Expert Fachmedien GmbH., 63(1-2), 26-29.
https://doi.org/10.1007/bf03401031

Arsenović M, Stanković S, Radojević Z, Pezo L. The effects of chemical composition and firing temperature in heavy clay brick production - Chemometric approach. in InterCeram: International Ceramic Review. 2014;63(1-2):26-29.
doi:10.1007/bf03401031 .

Arsenović, Milica, Stanković, Slavka, Radojević, Zagorka, Pezo, Lato, "The effects of chemical composition and firing temperature in heavy clay brick production - Chemometric approach" in InterCeram: International Ceramic Review, 63, no. 1-2 (2014):26-29,
https://doi.org/10.1007/bf03401031 . .

TY  - JOUR
AU  - Stanković, Slavka
AU  - Tanaskovski, Bojan
AU  - Zlatić, Bozidarka
AU  - Arsenović, Milica
AU  - Pezo, Lato
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/235
AB  - Surface sediments, mussels, seagrass, surface and bottom seawater samples were collected from the costal area of the southeastern Adriatic Sea and analyzed in order to determine the concentration and origin of the following elements: Fe, Mn, Zn, Ni, Cu, Ni, Co, As, Cd, Cr and Hg. The complexity of the obtained data was reduced by principal component analysis (PCA) and cluster analysis (CA), methods well known and accepted for the identification of the quality of marine environments. Both PCA and CA analysis were used to discriminate groups of samples according to the similarity of their chemical composition. The results revealed good diversity between the various samples, expressed by their distinctive positions of points in factor space. PCA indicated that the first two PC components explained about 73, 48, 43, 48, and 50 % of the total variance of the data for sediments, mussels, seagrass, and surface and bottom water, respectively. The results showed good discrimination capabilities between the samples taken from different locations, and also different seasons, which was especially evident in the surface and bottom water samples. Simultaneously, PCA/CA analysis of the amounts of trace elements found in the marine organisms could explain the manner of their bioaccumulation.
PB  - Walter De Gruyter Gmbh, Berlin
T2  - Pure and Applied Chemistry
T1  - Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach
EP  - 1127
IS  - 7
SP  - 1111
VL  - 86
DO  - 10.1515/pac-2014-0201
ER  - 

@article{
author = "Stanković, Slavka and Tanaskovski, Bojan and Zlatić, Bozidarka and Arsenović, Milica and Pezo, Lato",
year = "2014",
abstract = "Surface sediments, mussels, seagrass, surface and bottom seawater samples were collected from the costal area of the southeastern Adriatic Sea and analyzed in order to determine the concentration and origin of the following elements: Fe, Mn, Zn, Ni, Cu, Ni, Co, As, Cd, Cr and Hg. The complexity of the obtained data was reduced by principal component analysis (PCA) and cluster analysis (CA), methods well known and accepted for the identification of the quality of marine environments. Both PCA and CA analysis were used to discriminate groups of samples according to the similarity of their chemical composition. The results revealed good diversity between the various samples, expressed by their distinctive positions of points in factor space. PCA indicated that the first two PC components explained about 73, 48, 43, 48, and 50 % of the total variance of the data for sediments, mussels, seagrass, and surface and bottom water, respectively. The results showed good discrimination capabilities between the samples taken from different locations, and also different seasons, which was especially evident in the surface and bottom water samples. Simultaneously, PCA/CA analysis of the amounts of trace elements found in the marine organisms could explain the manner of their bioaccumulation.",
publisher = "Walter De Gruyter Gmbh, Berlin",
journal = "Pure and Applied Chemistry",
title = "Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach",
pages = "1127-1111",
number = "7",
volume = "86",
doi = "10.1515/pac-2014-0201"
}

Stanković, S., Tanaskovski, B., Zlatić, B., Arsenović, M.,& Pezo, L.. (2014). Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach. in Pure and Applied Chemistry
Walter De Gruyter Gmbh, Berlin., 86(7), 1111-1127.
https://doi.org/10.1515/pac-2014-0201

Stanković S, Tanaskovski B, Zlatić B, Arsenović M, Pezo L. Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach. in Pure and Applied Chemistry. 2014;86(7):1111-1127.
doi:10.1515/pac-2014-0201 .

Stanković, Slavka, Tanaskovski, Bojan, Zlatić, Bozidarka, Arsenović, Milica, Pezo, Lato, "Analysis of trace elements in surface sediments, mussels, seagrass and seawater along the southeastern Adriatic coast - a chemometric approach" in Pure and Applied Chemistry, 86, no. 7 (2014):1111-1127,
https://doi.org/10.1515/pac-2014-0201 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
AU  - Stanković, Slavka
AU  - Lalić, Željko
AU  - Pezo, Lato
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/224
AB  - The need of testing the quality of brickclay arises in all brick factories, with the opening of new deposits. The analyses are both time and economically consuming, so the aim of this study was to shorten the procedure using the already known data. This study was focused on determining the usability of heavy clays, when only the raw material major elements chemical composition is determined. The effects of chemical composition, firing temperature, and several shape formats of laboratory samples on the final properties were investigated. Chemical composition of major elements was determined on the basis of classical silicate analysis. Firing was conducted in an oxidizing atmosphere, while maintaining all other experimental conditions constant, except the final temperature. Principal component analysis (PCA) was used to determinate groups of samples according to similarity of chemical composition. Prediction of compressive strength (CS) and water absorption (WA) was done by developing five artificial neural networks (ANN). The average regression coefficients r(2) were used to explore the confidence level of the models. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data, and the highest average r(2) of 0.923 for CS was obtained, while r(2) for WA was 0.958. The wide range of processing variables was considered in the model formulation, and its easy implementation in a spreadsheet using a set of equations makes it very useful and practical for CS and WA prediction. As it is known from literature, all the parameters entered this analysis are dependent on each other, but their mutual relationship was not quantified yet. Most importantly-the developed neural networks can be used on a global scale.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - What to expect from heavy clay?
EP  - 1675
IS  - 2
SP  - 1667
VL  - 39
DO  - 10.1016/j.ceramint.2012.08.009
ER  - 

@article{
author = "Arsenović, Milica and Radojević, Zagorka and Stanković, Slavka and Lalić, Željko and Pezo, Lato",
year = "2013",
abstract = "The need of testing the quality of brickclay arises in all brick factories, with the opening of new deposits. The analyses are both time and economically consuming, so the aim of this study was to shorten the procedure using the already known data. This study was focused on determining the usability of heavy clays, when only the raw material major elements chemical composition is determined. The effects of chemical composition, firing temperature, and several shape formats of laboratory samples on the final properties were investigated. Chemical composition of major elements was determined on the basis of classical silicate analysis. Firing was conducted in an oxidizing atmosphere, while maintaining all other experimental conditions constant, except the final temperature. Principal component analysis (PCA) was used to determinate groups of samples according to similarity of chemical composition. Prediction of compressive strength (CS) and water absorption (WA) was done by developing five artificial neural networks (ANN). The average regression coefficients r(2) were used to explore the confidence level of the models. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data, and the highest average r(2) of 0.923 for CS was obtained, while r(2) for WA was 0.958. The wide range of processing variables was considered in the model formulation, and its easy implementation in a spreadsheet using a set of equations makes it very useful and practical for CS and WA prediction. As it is known from literature, all the parameters entered this analysis are dependent on each other, but their mutual relationship was not quantified yet. Most importantly-the developed neural networks can be used on a global scale.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "What to expect from heavy clay?",
pages = "1675-1667",
number = "2",
volume = "39",
doi = "10.1016/j.ceramint.2012.08.009"
}

Arsenović, M., Radojević, Z., Stanković, S., Lalić, Ž.,& Pezo, L.. (2013). What to expect from heavy clay?. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(2), 1667-1675.
https://doi.org/10.1016/j.ceramint.2012.08.009

Arsenović M, Radojević Z, Stanković S, Lalić Ž, Pezo L. What to expect from heavy clay?. in Ceramics International. 2013;39(2):1667-1675.
doi:10.1016/j.ceramint.2012.08.009 .

Arsenović, Milica, Radojević, Zagorka, Stanković, Slavka, Lalić, Željko, Pezo, Lato, "What to expect from heavy clay?" in Ceramics International, 39, no. 2 (2013):1667-1675,
https://doi.org/10.1016/j.ceramint.2012.08.009 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Stanković, Slavka
AU  - Pezo, Lato
AU  - Mančić, Lidija
AU  - Radojević, Zagorka
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/217
AB  - Loess clays are commonly used to produce bricks. Heavy clays, taken at location near Zrenjanin, Serbia, are used as a representative raw material in this study. The sample, containing about 28% of clay sized particles, is enriched using two more plastic heavy clays from neighboring locations. Chemical and mineralogical content of clays is determined, as well as particle size distribution. Optimization of the processing parameters during the bricks production, i. e. temperature (900-1100 degrees C), and concentration of 2 clays combined addition (both in the range of 0-10%), is done based on the following independent parameters: compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and apparent density expressed as volume mass of cubes (VMC). Developed models showed r(2) values in the range of 0.822-0.998, and they were able to accurately predict CS, WA, FS, WLF and VMC in a wide range of processing parameters. The optimum conditions are determined by the response surface method (RSM), coupled with the fuzzy synthetic evaluation (FSE) algorithm, using membership trapezoidal function, with defined optimal interval values, depending on a final usage of the raw material in heavy clay brick industry.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Optimization of the production process through response surface method: Bricks made of loess
EP  - 3075
IS  - 3
SP  - 3065
VL  - 39
DO  - 10.1016/j.ceramint.2012.09.086
ER  - 

@article{
author = "Arsenović, Milica and Stanković, Slavka and Pezo, Lato and Mančić, Lidija and Radojević, Zagorka",
year = "2013",
abstract = "Loess clays are commonly used to produce bricks. Heavy clays, taken at location near Zrenjanin, Serbia, are used as a representative raw material in this study. The sample, containing about 28% of clay sized particles, is enriched using two more plastic heavy clays from neighboring locations. Chemical and mineralogical content of clays is determined, as well as particle size distribution. Optimization of the processing parameters during the bricks production, i. e. temperature (900-1100 degrees C), and concentration of 2 clays combined addition (both in the range of 0-10%), is done based on the following independent parameters: compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and apparent density expressed as volume mass of cubes (VMC). Developed models showed r(2) values in the range of 0.822-0.998, and they were able to accurately predict CS, WA, FS, WLF and VMC in a wide range of processing parameters. The optimum conditions are determined by the response surface method (RSM), coupled with the fuzzy synthetic evaluation (FSE) algorithm, using membership trapezoidal function, with defined optimal interval values, depending on a final usage of the raw material in heavy clay brick industry.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Optimization of the production process through response surface method: Bricks made of loess",
pages = "3075-3065",
number = "3",
volume = "39",
doi = "10.1016/j.ceramint.2012.09.086"
}

Arsenović, M., Stanković, S., Pezo, L., Mančić, L.,& Radojević, Z.. (2013). Optimization of the production process through response surface method: Bricks made of loess. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(3), 3065-3075.
https://doi.org/10.1016/j.ceramint.2012.09.086

Arsenović M, Stanković S, Pezo L, Mančić L, Radojević Z. Optimization of the production process through response surface method: Bricks made of loess. in Ceramics International. 2013;39(3):3065-3075.
doi:10.1016/j.ceramint.2012.09.086 .

Arsenović, Milica, Stanković, Slavka, Pezo, Lato, Mančić, Lidija, Radojević, Zagorka, "Optimization of the production process through response surface method: Bricks made of loess" in Ceramics International, 39, no. 3 (2013):3065-3075,
https://doi.org/10.1016/j.ceramint.2012.09.086 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/212
AB  - Compressive strength and water absorption of fired heavy clay products varies with firing temperatures, but not entirely according to linear function, as it is mostly reported in literature. Also, differential thermo-gravimetric curve shows many turnovers in all the samples tested, within observed temperature range (820-920 degrees C). The aim of this research was to find a cause for such behaviour. Except derivative weight (DW), compressive strength (CS) and water absorption (WA) are chosen as outputs that represent properties of the fired samples. These parameters can be calculated using second order polynomial models (SOPs), on the basis of content of major oxides and firing temperature, as shown in our previous research. Sensitivity analysis was used as the effective approach in testing changes observed in the SOP outputs, due to the variation of content of major oxides for +1% or -1% of their nominal value. This study reveals in more detail the most significant influence of inputs (SiO2, Al2O3, Fe2O3 and CaO content) over the outputs (DW, CS and WA) in every observed firing temperature. Addition or lowering of content of major oxides can both increase and decrease all the observed outputs, as revealed using sensitivity analysis.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Sensitivity analysis of mathematical models for final product properties: Link to DTG curve
EP  - 6285
IS  - 6
SP  - 6277
VL  - 39
DO  - 10.1016/j.ceramint.2013.01.049
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Stanković, Slavka and Radojević, Zagorka",
year = "2013",
abstract = "Compressive strength and water absorption of fired heavy clay products varies with firing temperatures, but not entirely according to linear function, as it is mostly reported in literature. Also, differential thermo-gravimetric curve shows many turnovers in all the samples tested, within observed temperature range (820-920 degrees C). The aim of this research was to find a cause for such behaviour. Except derivative weight (DW), compressive strength (CS) and water absorption (WA) are chosen as outputs that represent properties of the fired samples. These parameters can be calculated using second order polynomial models (SOPs), on the basis of content of major oxides and firing temperature, as shown in our previous research. Sensitivity analysis was used as the effective approach in testing changes observed in the SOP outputs, due to the variation of content of major oxides for +1% or -1% of their nominal value. This study reveals in more detail the most significant influence of inputs (SiO2, Al2O3, Fe2O3 and CaO content) over the outputs (DW, CS and WA) in every observed firing temperature. Addition or lowering of content of major oxides can both increase and decrease all the observed outputs, as revealed using sensitivity analysis.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Sensitivity analysis of mathematical models for final product properties: Link to DTG curve",
pages = "6285-6277",
number = "6",
volume = "39",
doi = "10.1016/j.ceramint.2013.01.049"
}

Arsenović, M., Pezo, L., Stanković, S.,& Radojević, Z.. (2013). Sensitivity analysis of mathematical models for final product properties: Link to DTG curve. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(6), 6277-6285.
https://doi.org/10.1016/j.ceramint.2013.01.049

Arsenović M, Pezo L, Stanković S, Radojević Z. Sensitivity analysis of mathematical models for final product properties: Link to DTG curve. in Ceramics International. 2013;39(6):6277-6285.
doi:10.1016/j.ceramint.2013.01.049 .

Arsenović, Milica, Pezo, Lato, Stanković, Slavka, Radojević, Zagorka, "Sensitivity analysis of mathematical models for final product properties: Link to DTG curve" in Ceramics International, 39, no. 6 (2013):6277-6285,
https://doi.org/10.1016/j.ceramint.2013.01.049 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
AU  - Stanković, Slavka
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/199
AB  - Gline i glineni minerali se, usled mnogih specifičnih osobina pre i nakon pečenja, decenijama koriste kao osnovni materijali za proizvodnju grube keramike. Proučavanje i utvrđivanje mineralnih faza koje su prisutne u materijalu je komplikovano zato što prirodne gline imaju veoma heterogen mineralni sastav. Tokom procesa pečenja dolazi do mnogobrojnih transformacija, koje mogu imati ključni uticaj na osobine gotovih opekarskih proizvoda. Osim sastava važni parametri koji opisuju gline su plastičnost, mehanička čvrstoća nakon pečenja, kapacitet upijanja vode, itd. Poznavanje ovih karakteristika pomaže da se optimizuje korišćenje novootvorenih ležišta gline u lokalnoj ili regionalnoj opekarskoj industriji. Istraživanje prikazano u ovom radu je bazirano na ponašanju opekarskih glina iz Srbije, u kojoj postoji važna lokalna opekarska industrija. Otvoreno je pet novih ležišta, uzorci prikupljeni, a zatim su ispitane njihove fizičke, hemijske, mineraloške i tehnološke karakteristike, da bi se ocenila njihova eventualna pogodnost kao sirovina za različite opekarske proizvode. Koeficijent plastičnosti prema Feferkornu I osetljivost u sušenju na osnovu Bigo krive su određeni za svaki uzorak. Nakon što su uzorci oblikovani ekstruzijom i adekvatno osušeni, određene su mehaničke karakteristike proizvoda u suvom stanju i urađena je termodilatometrijska analiza. Uzorci oblika pločica, blokčića i kockica su pečeni na temperaturama od 850­1000 °C u oksidacionoj atmosferi i pri sporom režimu. Kapacitet upijanja vode i pritisna čvrstoća su određeni da bi se uzorci okarakterisali nakon pečenja, pri čemu su korišćeni linearni regresioni modeli. Matematički alati su korišćeni da se odredi statistički značaj sadržaja makroelemenata, vlage oblikovanja i pritisne čvrstoće suvih uzoraka, prema HSD testu. Iako se hemijski i mineraloški sastav uzoraka značajno ne razlikuje, ali sasvim je suprotno što se tiče moguće primene ovih sirovina. Zaključeno je da sve ispitivane opekarske sirovine mogu jednostavno da se uklope u proces proizvodnje grube keramike.
AB  - This study is focused on the behavior of five new deposits of heavy clays from Serbia, with the aim to evaluate their potential suitability as raw materials in rough ceramic applications. The Pfefferkorn plasticity coefficient (PC) and drying susceptibility using Bigot's curve were measured for each raw sample. Thermodilatometric analysis (TDA) showed the behavior of dry products during firing. Samples groups were fired in the range of 850-1000 °C. Water absorption capacity (WAC) and compressive strength (CS) measurements were done in order to characterize the clays after firing. Linear regression models were used to fit the results. Mathematical tools were used to determine statistical difference of major oxides content, shaping moist and compressive strength of dry laboratory products, using post-hoc Tukey's HSD test. The chemical and mineralogical compositions of samples do not differ considerably, but their possible application does. All studied clays seem to be easily adaptable to a correct brick making process.
PB  - Savez hemijskih inženjera, Beograd
T2  - Hemijska industrija
T1  - Opekarske gline iz Srbije - primena u proizvodnji grube keramike
T1  - Serbian heavy clays behavior: Application in rough ceramics
EP  - 822
IS  - 5
SP  - 811
VL  - 67
DO  - 10.2298/HEMIND121123006A
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Radojević, Zagorka and Stanković, Slavka",
year = "2013",
abstract = "Gline i glineni minerali se, usled mnogih specifičnih osobina pre i nakon pečenja, decenijama koriste kao osnovni materijali za proizvodnju grube keramike. Proučavanje i utvrđivanje mineralnih faza koje su prisutne u materijalu je komplikovano zato što prirodne gline imaju veoma heterogen mineralni sastav. Tokom procesa pečenja dolazi do mnogobrojnih transformacija, koje mogu imati ključni uticaj na osobine gotovih opekarskih proizvoda. Osim sastava važni parametri koji opisuju gline su plastičnost, mehanička čvrstoća nakon pečenja, kapacitet upijanja vode, itd. Poznavanje ovih karakteristika pomaže da se optimizuje korišćenje novootvorenih ležišta gline u lokalnoj ili regionalnoj opekarskoj industriji. Istraživanje prikazano u ovom radu je bazirano na ponašanju opekarskih glina iz Srbije, u kojoj postoji važna lokalna opekarska industrija. Otvoreno je pet novih ležišta, uzorci prikupljeni, a zatim su ispitane njihove fizičke, hemijske, mineraloške i tehnološke karakteristike, da bi se ocenila njihova eventualna pogodnost kao sirovina za različite opekarske proizvode. Koeficijent plastičnosti prema Feferkornu I osetljivost u sušenju na osnovu Bigo krive su određeni za svaki uzorak. Nakon što su uzorci oblikovani ekstruzijom i adekvatno osušeni, određene su mehaničke karakteristike proizvoda u suvom stanju i urađena je termodilatometrijska analiza. Uzorci oblika pločica, blokčića i kockica su pečeni na temperaturama od 850­1000 °C u oksidacionoj atmosferi i pri sporom režimu. Kapacitet upijanja vode i pritisna čvrstoća su određeni da bi se uzorci okarakterisali nakon pečenja, pri čemu su korišćeni linearni regresioni modeli. Matematički alati su korišćeni da se odredi statistički značaj sadržaja makroelemenata, vlage oblikovanja i pritisne čvrstoće suvih uzoraka, prema HSD testu. Iako se hemijski i mineraloški sastav uzoraka značajno ne razlikuje, ali sasvim je suprotno što se tiče moguće primene ovih sirovina. Zaključeno je da sve ispitivane opekarske sirovine mogu jednostavno da se uklope u proces proizvodnje grube keramike., This study is focused on the behavior of five new deposits of heavy clays from Serbia, with the aim to evaluate their potential suitability as raw materials in rough ceramic applications. The Pfefferkorn plasticity coefficient (PC) and drying susceptibility using Bigot's curve were measured for each raw sample. Thermodilatometric analysis (TDA) showed the behavior of dry products during firing. Samples groups were fired in the range of 850-1000 °C. Water absorption capacity (WAC) and compressive strength (CS) measurements were done in order to characterize the clays after firing. Linear regression models were used to fit the results. Mathematical tools were used to determine statistical difference of major oxides content, shaping moist and compressive strength of dry laboratory products, using post-hoc Tukey's HSD test. The chemical and mineralogical compositions of samples do not differ considerably, but their possible application does. All studied clays seem to be easily adaptable to a correct brick making process.",
publisher = "Savez hemijskih inženjera, Beograd",
journal = "Hemijska industrija",
title = "Opekarske gline iz Srbije - primena u proizvodnji grube keramike, Serbian heavy clays behavior: Application in rough ceramics",
pages = "822-811",
number = "5",
volume = "67",
doi = "10.2298/HEMIND121123006A"
}

Arsenović, M., Pezo, L., Radojević, Z.,& Stanković, S.. (2013). Opekarske gline iz Srbije - primena u proizvodnji grube keramike. in Hemijska industrija
Savez hemijskih inženjera, Beograd., 67(5), 811-822.
https://doi.org/10.2298/HEMIND121123006A

Arsenović M, Pezo L, Radojević Z, Stanković S. Opekarske gline iz Srbije - primena u proizvodnji grube keramike. in Hemijska industrija. 2013;67(5):811-822.
doi:10.2298/HEMIND121123006A .

Arsenović, Milica, Pezo, Lato, Radojević, Zagorka, Stanković, Slavka, "Opekarske gline iz Srbije - primena u proizvodnji grube keramike" in Hemijska industrija, 67, no. 5 (2013):811-822,
https://doi.org/10.2298/HEMIND121123006A . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
AU  - Pezo, Lato
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/197
AB  - Many factors influence final clay brick properties, since the raw materials used are highly heterogeneous. Statistical analysis is rarely used, according to literature, but it would improve understanding of the overall system behavior and the quality of products. In this study, analysis of variance (ANOVA) showed that the most important parameters influencing compressive strength (CS) were the quadratic terms of firing temperature, CaO and SiO2 content in developed second order polynomial (SOP) models. Water absorption (WA) was mostly influenced by quadratic terms of CaO and SiO2. The most influential interchange terms in all the models were SiO2 x CaO, SiO2 x Na2O, Fe2O3 x Na2O, CaO x Na2O and CaO x K2O. Developed SOP models, which connected the influence of major oxides content and firing temperature on CS and WA, showed the highest r(2) values (0.926-0.967) obtained in the literature so far, for these naturally occurring heavy clay raw materials. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data. The implementation of the SOP model is simple using the set of equations in a spreadsheet. The focus of this study was to determine the optimal composition and firing temperature, depending on final usage of the raw material in heavy clay brick industry. The study was conducted using fuzzy synthetic evaluation, through membership trapezoidal function, with pre-defined optimal interval values for every group of heavy clay products. The optimal samples chemical composition and firing temperature were chosen regarding the kind of the heavy clay product (I-solid bricks, II-hollow blocks and ceiling elements, and III-roof tiles).
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production
EP  - 2022
IS  - 2
SP  - 2013
VL  - 39
DO  - 10.1016/j.ceramint.2012.08.053
ER  - 

@article{
author = "Arsenović, Milica and Stanković, Slavka and Radojević, Zagorka and Pezo, Lato",
year = "2013",
abstract = "Many factors influence final clay brick properties, since the raw materials used are highly heterogeneous. Statistical analysis is rarely used, according to literature, but it would improve understanding of the overall system behavior and the quality of products. In this study, analysis of variance (ANOVA) showed that the most important parameters influencing compressive strength (CS) were the quadratic terms of firing temperature, CaO and SiO2 content in developed second order polynomial (SOP) models. Water absorption (WA) was mostly influenced by quadratic terms of CaO and SiO2. The most influential interchange terms in all the models were SiO2 x CaO, SiO2 x Na2O, Fe2O3 x Na2O, CaO x Na2O and CaO x K2O. Developed SOP models, which connected the influence of major oxides content and firing temperature on CS and WA, showed the highest r(2) values (0.926-0.967) obtained in the literature so far, for these naturally occurring heavy clay raw materials. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data. The implementation of the SOP model is simple using the set of equations in a spreadsheet. The focus of this study was to determine the optimal composition and firing temperature, depending on final usage of the raw material in heavy clay brick industry. The study was conducted using fuzzy synthetic evaluation, through membership trapezoidal function, with pre-defined optimal interval values for every group of heavy clay products. The optimal samples chemical composition and firing temperature were chosen regarding the kind of the heavy clay product (I-solid bricks, II-hollow blocks and ceiling elements, and III-roof tiles).",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production",
pages = "2022-2013",
number = "2",
volume = "39",
doi = "10.1016/j.ceramint.2012.08.053"
}

Arsenović, M., Stanković, S., Radojević, Z.,& Pezo, L.. (2013). Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(2), 2013-2022.
https://doi.org/10.1016/j.ceramint.2012.08.053

Arsenović M, Stanković S, Radojević Z, Pezo L. Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production. in Ceramics International. 2013;39(2):2013-2022.
doi:10.1016/j.ceramint.2012.08.053 .

Arsenović, Milica, Stanković, Slavka, Radojević, Zagorka, Pezo, Lato, "Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production" in Ceramics International, 39, no. 2 (2013):2013-2022,
https://doi.org/10.1016/j.ceramint.2012.08.053 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
AU  - Stanković, Slavka
PY  - 2012
UR  - http://rims.institutims.rs/handle/123456789/174
AB  - The aim of this study was to test utilization possibilities of industrial sludge in masonry industry, as well as risk of toxic elements leaching potential. Sludge is generated in a hot-dip galvanizing process after waste water neutralization. This waste is considered to be hazardous due to the presence of toxic elements, which can be fixed within heavy clay matrix after thermal treatment. Relatively large amounts of toxic metals were found in used raw materials, but their leachability reduces to a negligible level after firing at 1020 degrees C. The results show that sludge can be used to produce eco-friendly bricks.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Removal of toxic metals from industrial sludge by fixing in brick structure
EP  - 14
SP  - 7
VL  - 37
DO  - 10.1016/j.conbuildmat.2012.07.002
ER  - 

@article{
author = "Arsenović, Milica and Radojević, Zagorka and Stanković, Slavka",
year = "2012",
abstract = "The aim of this study was to test utilization possibilities of industrial sludge in masonry industry, as well as risk of toxic elements leaching potential. Sludge is generated in a hot-dip galvanizing process after waste water neutralization. This waste is considered to be hazardous due to the presence of toxic elements, which can be fixed within heavy clay matrix after thermal treatment. Relatively large amounts of toxic metals were found in used raw materials, but their leachability reduces to a negligible level after firing at 1020 degrees C. The results show that sludge can be used to produce eco-friendly bricks.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Removal of toxic metals from industrial sludge by fixing in brick structure",
pages = "14-7",
volume = "37",
doi = "10.1016/j.conbuildmat.2012.07.002"
}

Arsenović, M., Radojević, Z.,& Stanković, S.. (2012). Removal of toxic metals from industrial sludge by fixing in brick structure. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 37, 7-14.
https://doi.org/10.1016/j.conbuildmat.2012.07.002

Arsenović M, Radojević Z, Stanković S. Removal of toxic metals from industrial sludge by fixing in brick structure. in Construction and Building Materials. 2012;37:7-14.
doi:10.1016/j.conbuildmat.2012.07.002 .

Arsenović, Milica, Radojević, Zagorka, Stanković, Slavka, "Removal of toxic metals from industrial sludge by fixing in brick structure" in Construction and Building Materials, 37 (2012):7-14,
https://doi.org/10.1016/j.conbuildmat.2012.07.002 . .