دوره 14، شماره 3 - ( 4-1403 )
جلد 14 شماره 3 صفحات 354-337 |
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Mahdavi V, Kaveh A. STRUCTURAL DAMAGE IDENTIFICATION BASED ON CHANGES IN NATURAL FREQUENCIES USING THREE MULTI-OBJECTIVE METAHEURISTIC ALGORITHMS. IJOCE 2024; 14 (3) :337-354
URL: http://ijoce.iust.ac.ir/article-1-598-fa.html
URL: http://ijoce.iust.ac.ir/article-1-598-fa.html
STRUCTURAL DAMAGE IDENTIFICATION BASED ON CHANGES IN NATURAL FREQUENCIES USING THREE MULTI-OBJECTIVE METAHEURISTIC ALGORITHMS. عنوان نشریه. 1403; 14 (3) :337-354
چکیده: (3544 مشاهده)
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.
نوع مطالعه: پژوهشي |
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دریافت: 1403/1/14 | پذیرش: 1403/3/9 | انتشار: 1403/6/19
دریافت: 1403/1/14 | پذیرش: 1403/3/9 | انتشار: 1403/6/19
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