Prediction of fracture parameters of concrete by Artificial Neural Networks

被引：141
|
作者：
Ince, R [1 ]
机构：
[1] Firat Univ, Fac Engn, Dept Civil Engn, Elazig, Turkey
来源：
ENGINEERING FRACTURE MECHANICS | 2004年 / 71卷 / 15期
关键词：
concrete; fracture mechanics; two-parameter model; artificial intelligence; artificial neural networks;
D O I：
10.1016/j.engfracmech.2003.12.004
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
Modelling of material behaviour generally involves the development of a mathematical model derived from observations and experimental data. An alternative way discussed in this paper is Artificial Neural Network (ANN)-based modelling which is a subfield of artificial intelligence. The main benefit in using an ANN approach is that the network is built directly from experimental data using the self-organising capabilities of the ANN. In this paper the Two-Parameter Model (TPM) in the fracture of cementitious materials is modelled with a back-propagation ANN. The results of an ANN-based TPM look viable and very promising. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2143 / 2159
页数：17
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