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.
Highlights
Metaheuristic optimization algorithms are very robust tools that help solve almost any problem with the inputoutput relationship
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)
I n this paper, we studied the performance of three metaheuristic algorithms in the case of a CCCC plate; the problem is formulated as minimization of RFR damage indicator difference as an inverse problem
Summary
Metaheuristic optimization algorithms are very robust tools that help solve almost any problem with the inputoutput relationship. Most metaheuristics have two strategies; the first strategy is exploration, when the algorithm is looking to find solutions in different areas of the design space. The soft besiege and the hard besiege, in combination with the rapid dive These techniques are modeled mathematically, and each potential solution is considered a hawk in this algorithm, looking to find better solutions in every iteration by reimplementing the search techniques. The WHO optimization algorithm is a metaheuristic presented by Iraj et al [20] inspired by the social life of wild horses It models the hierarchical characteristics for selecting and changing the leader. We compare their performance in the case of limited damage element and damage severity variables and a final case with four damaged elements with different damage severity. T he following formulation present FRF for the healthy and damaged structure: A
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