STRUCTURAL DAMAGE IDENTIFICATION BASED ON CHANGES IN NATURAL FREQUENCIES USING THREE MULTI-OBJECTIVE METAHEURISTIC ALGORITHMS
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJOCE-14-3_002
تاریخ نمایه سازی: 10 شهریور 1403
Abstract:
In order to evaluate the damage state, value, and position of structural members more accurately, a multi-objective optimization (MO) method is utilized that is based on changes in natural frequency. The multi-objective optimization dynamic-based damage detection method is first introduced. Two objective functions for optimization are then introduced in terms of changing the natural frequencies and mode shapes. The multi-objective optimization problem (MOP) is formulated by using the two objective functions. Three considered MO algorithms consist of Colliding Bodies Optimization (MOCBO), Particle Swarm Optimization (MOPSO), and non-dominated sorting genetic algorithm (NSGA-II) to achieve the best structural damage detection. The proposed methods are then applied to three planar steel frame structures. Compared to the traditional optimization methods utilizing the single-objective optimization (SO) algorithms, the presented methods provide superior results.
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Authors
V.R. Mahdavi
Department of Civil and Geomechanics Engineering, Arak University of Technology, Arak, Iran
A. Kaveh
School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran-۱۶, Iran