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dc.contributor.authorKhatir, S
dc.contributor.authorTiachacht, S
dc.contributor.authorLe Thanh, C
dc.contributor.authorTran-Ngoc, H
dc.contributor.authorMirjalili, S
dc.contributor.authorAbdel Wahab, M
dc.description.abstractIn this paper, an enhanced damage indicator using a flexibility index is presented and applied to different complex structures to predict the exact location of damage. Finite Element Method (FEM) is used to model three complex structures, namely a 37-bar planar truss, a 52-bar planar truss, and a 52-bar space truss (Dome structure) to study the effectiveness of the proposed indicator. Single and multiple damage scenarios with different damage levels are considered. The results show that the proposed indicator provides an accurate location of damage. Next, to quantify the damage and assess its severity, two optimization techniques, namely Atom Search Optimization (ASO) and Salp Swarm Optimizer (SSA), which are recently invented, are used to solve an inverse problem. The objective function is based on the measured and calculated enhanced damage indicators. Both optimization techniques provide good results, however the convergence performance and CPU time are better for ASO than SSA. Finally, the proposed approach is tested using a benchmark structure, namely a high-rise tower (Guangzhou TV Tower) to predict the damage location at different floors. The results indicate that the proposed methodology is accurate and fast to predict single and multiple damages.
dc.publisherElsevier BV
dc.relation.ispartofjournalEngineering Failure Analysis
dc.subject.fieldofresearchCivil engineering
dc.subject.fieldofresearchMaterials engineering
dc.subject.fieldofresearchMechanical engineering
dc.titleA new robust flexibility index for structural damage identification and quantification
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationKhatir, S; Tiachacht, S; Le Thanh, C; Tran-Ngoc, H; Mirjalili, S; Abdel Wahab, M, A new robust flexibility index for structural damage identification and quantification, Engineering Failure Analysis, 2021, 129, pp. 105714
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali

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