RIMS - Repository of Institute for Material Testing
Institute for Material Testing
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   RIMS
  • Institut za ispitivanje materijala
  • Radovi istraživača / Researchers' publications
  • View Item
  •   RIMS
  • Institut za ispitivanje materijala
  • Radovi istraživača / Researchers' publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama

Evaluation of air content on concrete compressive strength with classical approach and neural networks

Thumbnail
2012
153.pdf (193.4Kb)
Authors
Bojović, Dragan
Nikolić, Dragan
Janković, Ksenija
Lončar, Ljiljana
Article (Published version)
Metadata
Show full item record
Abstract
Mnogi parametri utiču na karakteristike svežeg i očvrslog betona. Jedan od najvažnijih svakako jeste poroznost betona. Poroznost svežeg betona meri se količinom uvučenog vazduha. Uticaj uvučenog vazduha na beton i njegovu pritisnu čvrstoću istraživali su mnogi svetski istraživači. Na bazi tih istraživanja, izdvojene su dve, u praksi najviše korišćene, formule. Tehnike mekog programiranja, a posebno neuronske mreže, s formiranim bazama podataka laboratorijskih ispitivanja betona, otvaraju novi pristup u predviđanju uticaja količine uvučenog vazduha u svežem betonu na njegovu čvrstoću pri pritisku.
Many parameters influence on the characteristics of fresh and hardened concrete. One of the most important characteristic of concrete is its porosity. Measure the porosity of fresh concrete is measured by the amount of entrained air. The effect of entrained air in concrete on compressive strength investigated by many authors. On the bases these works we have two formulas applicable in practice. Soft programming techniques especialy neural networks and the formation of databases related to the testing in laboratories for concrete opened up new approaches in predicting the impact of the quantity of entrained air in concrete on compressive strength.
Keywords:
uvučen vazduh / neuronske mreže / čvrstoća pri pritisku / beton / neural networks / entrapped air / concrete / compressive strength
Source:
Građevinski materijali i konstrukcije, 2012, 55, 1, 47-54
Publisher:
  • Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd

ISSN: 2217-8139

[ Google Scholar ]
Handle
https://hdl.handle.net/21.15107/rcub_rims_156
URI
http://rims.institutims.rs/handle/123456789/156
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
Institut za ispitivanje materijala
TY  - JOUR
AU  - Bojović, Dragan
AU  - Nikolić, Dragan
AU  - Janković, Ksenija
AU  - Lončar, Ljiljana
PY  - 2012
UR  - http://rims.institutims.rs/handle/123456789/156
AB  - Mnogi parametri utiču na karakteristike svežeg i očvrslog betona. Jedan od najvažnijih svakako jeste poroznost betona. Poroznost svežeg betona meri se količinom uvučenog vazduha. Uticaj uvučenog vazduha na beton i njegovu pritisnu čvrstoću istraživali su mnogi svetski istraživači. Na bazi tih istraživanja, izdvojene su dve, u praksi najviše korišćene, formule. Tehnike mekog programiranja, a posebno neuronske mreže, s formiranim bazama podataka laboratorijskih ispitivanja betona, otvaraju novi pristup u predviđanju uticaja količine uvučenog vazduha u svežem betonu na njegovu čvrstoću pri pritisku.
AB  - Many parameters influence on the characteristics of fresh and hardened concrete. One of the most important characteristic of concrete is its porosity. Measure the porosity of fresh concrete is measured by the amount of entrained air. The effect of entrained air in concrete on compressive strength investigated by many authors. On the bases these works we have two formulas applicable in practice. Soft programming techniques especialy neural networks and the formation of databases related to the testing in laboratories for concrete opened up new approaches in predicting the impact of the quantity of entrained air in concrete on compressive strength.
PB  - Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd
T2  - Građevinski materijali i konstrukcije
T1  - Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama
T1  - Evaluation of air content on concrete compressive strength with classical approach and neural networks
EP  - 54
IS  - 1
SP  - 47
VL  - 55
UR  - https://hdl.handle.net/21.15107/rcub_rims_156
ER  - 
@article{
author = "Bojović, Dragan and Nikolić, Dragan and Janković, Ksenija and Lončar, Ljiljana",
year = "2012",
abstract = "Mnogi parametri utiču na karakteristike svežeg i očvrslog betona. Jedan od najvažnijih svakako jeste poroznost betona. Poroznost svežeg betona meri se količinom uvučenog vazduha. Uticaj uvučenog vazduha na beton i njegovu pritisnu čvrstoću istraživali su mnogi svetski istraživači. Na bazi tih istraživanja, izdvojene su dve, u praksi najviše korišćene, formule. Tehnike mekog programiranja, a posebno neuronske mreže, s formiranim bazama podataka laboratorijskih ispitivanja betona, otvaraju novi pristup u predviđanju uticaja količine uvučenog vazduha u svežem betonu na njegovu čvrstoću pri pritisku., Many parameters influence on the characteristics of fresh and hardened concrete. One of the most important characteristic of concrete is its porosity. Measure the porosity of fresh concrete is measured by the amount of entrained air. The effect of entrained air in concrete on compressive strength investigated by many authors. On the bases these works we have two formulas applicable in practice. Soft programming techniques especialy neural networks and the formation of databases related to the testing in laboratories for concrete opened up new approaches in predicting the impact of the quantity of entrained air in concrete on compressive strength.",
publisher = "Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd",
journal = "Građevinski materijali i konstrukcije",
title = "Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama, Evaluation of air content on concrete compressive strength with classical approach and neural networks",
pages = "54-47",
number = "1",
volume = "55",
url = "https://hdl.handle.net/21.15107/rcub_rims_156"
}
Bojović, D., Nikolić, D., Janković, K.,& Lončar, L.. (2012). Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama. in Građevinski materijali i konstrukcije
Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd., 55(1), 47-54.
https://hdl.handle.net/21.15107/rcub_rims_156
Bojović D, Nikolić D, Janković K, Lončar L. Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama. in Građevinski materijali i konstrukcije. 2012;55(1):47-54.
https://hdl.handle.net/21.15107/rcub_rims_156 .
Bojović, Dragan, Nikolić, Dragan, Janković, Ksenija, Lončar, Ljiljana, "Ocena uticaja količine vazduha na čvrstoću betona klasičnim pristupom i neuronskim mrežama" in Građevinski materijali i konstrukcije, 55, no. 1 (2012):47-54,
https://hdl.handle.net/21.15107/rcub_rims_156 .

DSpace software copyright © 2002-2015  DuraSpace
About RIMS | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About RIMS | Send Feedback

OpenAIRERCUB