期刊
ENGINEERING FRACTURE MECHANICS
卷 71, 期 15, 页码 2143-2159出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfracmech.2003.12.004
关键词
concrete; fracture mechanics; two-parameter model; artificial intelligence; artificial neural networks
类别
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.
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