دوره 14، شماره 3 - ( 3-1403 )
جلد 14 شماره 3 صفحات 354-337 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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: (1194 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 |
موضوع مقاله:
Applications
دریافت: 1403/1/14 | پذیرش: 1403/3/9 | انتشار: 1403/6/19
دریافت: 1403/1/14 | پذیرش: 1403/3/9 | انتشار: 1403/6/19
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
