Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks

被引：58
作者：
Hadzima-Nyarko, Marijana [1 ]
Nyarko, Emmanuel Karlo [2 ]
Ademovic, Naida [3 ]
Milicevic, Ivana [1 ]
Sipos, Tanja Kalman [1 ]
机构：
[1] Univ JJ Strossmayer, Fac Civil Engn & Architecture, Vladimira Preloga 3, Osijek 31000, Croatia
[2] Comp Sci & Informat Technol Osijek, Fac Elect Engn, Kneza Trpimira 2b, Osijek 31000, Croatia
[3] Univ Sarajevo, Fac Civil Engn Sarajevo, Patriotske Lige 30, Sarajevo 71000, Bosnia & Herceg
来源：
MATERIALS | 2019年 / 12卷 / 04期
关键词：
tire rubber concrete; compressive strength; artificial neural networks; database of experimental results; CRUMB RUBBER; MECHANICAL-PROPERTIES; PREDICTION; MODULUS; REPLACEMENT; PERFORMANCE; ELASTICITY; AGGREGATE;
D O I：
10.3390/ma12040561
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
One of the major causes of ecological and environmental problems comes from the enormous number of discarded waste tires, which is directly connected to the exponential growth of the world's population. In this paper, previous works carried out on the effects of partial or full replacement of aggregate in concrete with waste rubber on some properties of concrete were investigated. A database containing 457 mixtures with partial or full replacement of natural aggregate with waste rubber in concrete provided by different researchers was formed. This database served as the basis for investigating the influence of partial or full replacement of natural aggregate with waste rubber in concrete on compressive strength. With the aid of the database, the possibility of achieving reliable prediction of the compressive strength of concrete with tire rubber is explored using neural network modelling.
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页数：18
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