TY - JOUR
T1 - A new robust flexibility index for structural damage identification and quantification
AU - Khatir, Samir
AU - Tiachacht, Samir
AU - Le Thanh, Cuong
AU - Tran-Ngoc, Hoa
AU - Mirjalili, Seyedali
AU - Abdel Wahab, Magd
N1 - Funding Information:
The first author acknowledges the funding of the postdoctoral fellowship BOF20/PDO/045 provided by Bijzonder Onderzoeksfonds (BOF), Ghent University .
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/11
Y1 - 2021/11
N2 - In 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.
AB - In 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.
KW - Atom Search Optimization
KW - Complex Structures
KW - Damage quantification
KW - Inverse Problem
KW - Modal analysis
KW - Salp Swarm Optimizer
UR - http://www.scopus.com/inward/record.url?scp=85114797233&partnerID=8YFLogxK
U2 - 10.1016/j.engfailanal.2021.105714
DO - 10.1016/j.engfailanal.2021.105714
M3 - Article
AN - SCOPUS:85114797233
SN - 1350-6307
VL - 129
JO - Engineering Failure Analysis
JF - Engineering Failure Analysis
M1 - 105714
ER -