Journal
ENGINEERING OPTIMIZATION
Volume 53, Issue 10, Pages 1651-1670Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2020.1808974
Keywords
Social group optimization; modified social group optimization; structural health monitoring; human-based metaheuristic optimization
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The article discusses the use of social group optimization (SGO) for damage analysis of civil engineering structures, finding that SGO struggles with complex objective functions. A modified version, MSGO, is proposed to address these limitations and shows improved accuracy in damage detection.
Social group optimization (SGO) is a human-based metaheuristic optimization technique which shows accurate results for different benchmark functions but has not been studied for civil engineering structural health monitoring problems. This article deals with the use of SGO for damage analysis of different modelled civil engineering structures and a real-life American Society of Civil Engineers (ASCE) benchmark structure using a stiffness-based objective function. It is observed that SGO is not able to identify the damage in the structures owing to the algorithm becoming trapped in local optima. To improve the performance of SGO, a modified social group optimization (MSGO) is proposed, which deals with the drawbacks of SGO in dealing with the complicated objective functions of civil structures. It is observed that MSGO shows accurate damage detection capability, with errors of less than 1%, in the civil structures considered, even in the presence of noise.
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