Damage identification in steel plate using FRF and inverse analysis

Abstract

Metaheuristic algorithms have known vast development in recent years. And their applicability in engineering projects is constantly growing; however, their deferent exploration and exploitation techniques cause the engineering problems to favor some algorithms over others. This paper studies damage identification in steel plates using Frequency Response Function (FRF) damage indicator to detect and localize the healthy and damaged structure. The study is formulated as an inverse analysis, investigating the performance of three new metaheuristic algorithms of Wild Horse Optimizer (WHO), Harris Hawks Optimization (HHO), and Arithmetic Optimization Algorithm (AOA). The objective function is based on measured and calculated FRF damage indicators. The results showed that the case of four damages with different damage severity levels presented a good challenge where the HWO algorithm was shown to have the best performance. Both in convergence speed and CPU time.

Flexural behavior of delta and bi-delta cold-formed steel beams: experimental investigation and numerical analysis

“…inite element analysis provides a cost-effective solution to many engineering problems given the cost and time required to manufacture and create tests of actual physical models. This is why, in this article, a numerical study by finite elements is carried out using the Abaqus 6.14 software through a nonlinear structural analysis [21,22], the choice of the Abaqus software is thanks to these great performances in the numerical analysis, Finite element modeling goes through several steps starting with the creation of a geometric model of the structure, then the integration of the behavior of the material and the boundary conditions for each element which is then divided into smaller forms elements connected to specific nodes (the mesh) and analysis should be performed [4,15,[23][24][25][26][27][28][29].…”

A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF

“…Their results underscore the efficacy of the POD-RBF technique in combination with the Cuckoo search algorithm. Subsequent research efforts have also delved into this specific domain [39][40][41][42].…”

A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

“…In recent years, some novel optimization algorithms have been rapidly developed. For instance, several researchers have employed moth-flame [46], salp swarm [47], multiverse [48], whale [49], YUKI [50,51], wild horse [52] and slime mold [53] algorithms to solve the inverse problem of damage detection. However, conventional optimization methods such as simulated annealing (SA), particle swarm optimization (PSO) [54], and GA are still often used in damage identification problems.…”