A Review of the Research Progress of Structural Damage Identification Method Based on Computational Intelligence Techniques

Abstract

This paper presents a comprehensive review of computational Intelligence (CI) technology applied in structural damage identification, clarifies the basic principles of computational intelligence techniques, as well as the applicable difficulties that exist in the field of structural damage identification (SDI) from 6 aspects: fuzzy theory, evidence theory, rough set theory, artificial neural networks, support vector machines and evolutionary computation, and then discussed the applicable prospects of computational Intelligence in SDI. It points out that the reasonable cross-fusion of a variety of CI method to specific research object is a necessary means for SDI research. For economy and practicality considerations, CI is suitable for highly integrated complex structural damage identification.

Applications of computational intelligence to mechanical engineering

“…CI [374]- [377] and OPT [378]- [383] present low percentage values, while the highest shares (see Fig. 7) are held by Neural Networks [384]- [391], Evolutionary Computing [392]- [395] and Genetic Algorithms [396]- [403].…”