A new self-adaptive quasi-oppositional stochastic fractal search for the inverse problem of structural damage assessment

A new self-adaptive quasi-oppositional stochastic fractal search for the inverse problem of structural damage assessment

Structural health monitoring is an important research field being investigated around the globe. In recent years, meta-heuristics are being used to solve the complex inverse problem of structural damage assessment. In this work, a novel approach depending on a new meta-heuristic and effective object...

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Bibliographic Details
Main Authors: Nizar Faisal Alkayem, Lei Shen, Panagiotis G. Asteris, Milan Sokol, Zhiqiang Xin, Maosen Cao
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Alexandria Engineering Journal
Subjects:
Structural damage assessment
Stochastic fractal search
Quasi-oppositional learning
Modal features
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821004592

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http://www.sciencedirect.com/science/article/pii/S1110016821004592

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