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
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 - 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 = "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). Evaluation of air content on concrete compressive strength with classical approach and neural networks. 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. Evaluation of air content on concrete compressive strength with classical approach and neural networks. 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, "Evaluation of air content on concrete compressive strength with classical approach and neural networks" in Građevinski materijali i konstrukcije, 55, no. 1 (2012):47-54,
https://hdl.handle.net/21.15107/rcub_rims_156 .
