An Effective Approach for Damage Identification in Beam-Like Structures Based on Modal Flexibility Curvature and Particle Swarm Optimization
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 98
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شناسه ملی سند علمی:
JR_CIVLJ-8-1_009
تاریخ نمایه سازی: 23 شهریور 1403
چکیده مقاله:
In this paper, a computationally simple approach for damage localization and quantification in beam-like structures is proposed. This method is in consonance with applying modal flexibility curvature (MFC) and particle swarm optimization (PSO) algorithm. Analytical studies in the literature have revealed that changes in the modal flexibility curvature can be considered as a sensitive and suitable criterion for identifying damage in the beam-like structures. Modal flexibility curvature can be calculated utilizing central difference approximation, based on entries of the modal flexibility matrix. The PSO algorithm, as a powerful optimization tool, is employed in order to minimize the error function which is formulated as an error function between the measured modal flexibility curvatures of the damaged structure and those calculated from the analytical structure. To demonstrate the efficiency of the method, two beam-like structures under different damage scenarios are studied. In addition, the robustness of presented method is investigated only when the first several modal data are available. It is observed that the proposed approach is able to localize and quantify various damage cases only by a few lower vibrational modes and also, it is low-sensitive to measurement noise.
کلیدواژه ها:
Damage identification ، Modal flexibility curvature ، Particle swarm optimization (PSO) ، Measurement noise ، Beam-like structure
نویسندگان
Siavash Nadjafi
Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Gholamreza Ghodrati Amiri
Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology
Ali Zare Hosseinzadeh
Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science & Technology
Seyed Ali Seyed Razzaghi
Department of Civil Engineering, Payame Noor University
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