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International Journal of Optimaization in Civil Engineering، جلد ۴، شماره ۴، صفحات ۵۰۹-۵۲۴
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عنوان انگلیسی SELECTION OF SUITABLE RECORDS FOR NONLINEAR ANALYSIS USING GENETIC ALGORITHM (GA) AND PARTICLE SWARM OPTIMIZATION (PSO)
چکیده انگلیسی مقاله This paper presents a suitable and quick way to choose earthquake records in non-linear dynamic analysis using optimization methods. In addition, these earthquake records are scaled. Therefore, structural responses of three different soil-frame models were examined, the change in maximum displacement of roof was analyzed and the damage index of whole structures was measured. The soil classification of project location was divided into 4 different types according to the velocity of shear waves in the Iranian Code for Seismic Design. As a result, 8 frame models were considered. The selection and scaling were carried out in 2 stages. In the first stage, the matching with design spectrum was carried out using genetic algorithm in order to achieve the mean of structural response. In the second stage, the matching with average of structural responses were carried out using PSO to achieve 1 or 3 accelerograms with related factors in order to be used in structural analysis.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله b محبی | b. mohebi


gh قدرتی امیری | gh ghodrati amiri


m طاهری | m. taheri


نشانی اینترنتی http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-46&slc_lang=en&sid=en
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Optimal design
نوع مقاله منتشر شده پژوهشی
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