Volume 14, Issue 3 (6-2024)
IJOCE 2024, 14(3): 337-354 |
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1- Department of Civil and Geomechanics Engineering, Arak University of Technology, Arak, Iran
2- School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran-16, Iran
2- School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran-16, Iran
Abstract: (2055 Views)
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.
Keywords: Damage detection, Natural frequency, Optimization algorithms, Multi-objective optimizations, frame structures.
Type of Study: Research |
Subject:
Applications
Received: 2024/04/2 | Accepted: 2024/05/29 | Published: 2024/09/9
Received: 2024/04/2 | Accepted: 2024/05/29 | Published: 2024/09/9
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