شناسایی خسارت در سازه‌ها بااستفاده از الگوریتم‌های بهینه‌سازی تکاملی چندهدفه MOPSO و MOEA/D

نوع مقاله : پژوهشی

نویسندگان

• میلاد جهانگیری
• بهروز احمدی ندوشن

دانشگاه یزد

10.22067/civil.v1i30.53204

چکیده

تحقیقات زیادی در تکنیک شناسایی خسارت در سازه‌ها بااستفاده از بهینه‌سازی تک‌هدفه انجام گردیده است. اخیراً، کاربرد روش‌های بهینه‌سازی چندهدفه موردتوجه محققان قرار گرفته است. از این رو، در این پژوهش بااستفاده از الگوریتم‌های نوین بهینه‌سازی تکاملی چندهدفه و بیان توابع هدف سختی و شکل مودی به‌منظور شناسایی خسارت در تیر دوسرساده و در تیر دوسرگیردار پرداخته شده است. نتایج حاصل از تیر دوسرگیردار با نتایج تجربی دیگر محققان مقایسه گردیده است. نتایج نشان می‌دهد که روش پیشنهادشده منجر به عملکرد مطلوب در موقعیت‌یابی و کیفیت‌سنجی خسارت می‌گردد.

کلیدواژه‌ها

• شناسایی خسارت
• بهینه‌سازی چندهدفه
• الگوریتم تکاملی

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عنوان مقاله [English]

Structural Damage Identification Using MOPSO and MOEA/D Multi-Objective Evolutionary Optimization Algorithms

نویسندگان [English]

• Milad Jahangiri
• Behrooz Ahmadi Nedushan

Yazd University

چکیده [English]

Many researchers have applied single-objective optimization algorithms for structural damage identification. Recently, multi-objective optimization algorithms have also been considered for this purpose. This article applies two recent multi-objective evolutionary optimization algorithms and modal shape and stiffness objective functions for structural damage detection in a simply supported beam and a two fixed-end moment beam. For the fixed supported beam, the results are compared with the experimental results from the literature. The results demonstrate the good performance of proposed approach in localization and quantification of damages.

کلیدواژه‌ها [English]

• Damage Identification
• Multi-Objective Optimization
• Evolutionary Algorithms

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