作者
Sara Nasiri, Mohammad Reza Khosravani, Kerstin Weinberg
发表日期
2017/11/1
来源
Engineering Failure Analysis
卷号
81
页码范围
270-293
出版商
Pergamon
简介
Artificial intelligence (AI) researchers created new techniques, developed and applied them to solve engineering problems since two decades. Although lots of AI techniques and approaches are available in mechanical engineering, there isn’t any survey aiming to review the existing works, systems and applications in the field of fracture mechanics. In this paper, the state of the art of five AI methods which are used in the field of fracture mechanics, is surveyed. This review is performed from the technical point of view on particular applications of artificial neural networks, Bayesian networks, genetic algorithms, fuzzy logic and case-based reasoning.
After an overview of AI methods, sub-domains of engineering fracture mechanics with respect to the fault and failure analysis are described. The existing works from 1990 to 2016 are analysed and discussed in four categories as sub-domains of fracture mechanics: (a …
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