Crack identification with combined numerical simulation-intelligent optimization algorithms: a brief summary. Issue 1 (July 2021)

• Record Type: Journal Article
• Authors: Mao, X.M.; Zhang, H.H.; Han, S.Y.; Ji, X.L.
• Is Part Of: IOP conference series. Volume 825:Issue 1(2021)
• Publication Date: 2021-07
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/825/1/012029
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Crack identification in structures is a typical inverse analysis problem, which is very crucial for the reliability evaluation of various structures. In recent years, the rapid development of numerical technologies and artificial intelligence algorithms has provided a new way for crack detection. Numerical methods are used as the forward analysis tools to solve crack problems, while intelligent optimization approaches are applied to identify crack geometries based on the data collected by forward modeling. In this paper, the research status of crack identification, with the combined typical computational tools and well-known intelligent optimization schemes, is briefly summarized.