Open AccessCrack identification with combined numerical simulation-intelligent optimization algorithms: a brief summary
Author(s) -
Xinna Mao,
H. H. Zhang,
Shoufei Han,
Xiaopeng Ji
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/825/1/012029
Subject(s) - identification (biology) , computer science , reliability (semiconductor) , algorithm , inverse problem , mathematics , mathematical analysis , power (physics) , physics , botany , biology , quantum mechanics
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.