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Design and optimization of steel frames using genetic algorithm

عنوان مقاله: Design and optimization of steel frames using genetic algorithm
شناسه ملی مقاله: CAUM01_1077
منتشر شده در کنفرانس بین المللی عمران، معماری و مدیریت توسعه شهری در ایران در سال 1397
مشخصات نویسندگان مقاله:

Vahid Goodarzimehr - Master of Science in Structural Engineering, Tabriz University
Nasser Taghizahieh - Associate Professor of Structural Engineering, Tabriz University,
Fereydoon Omidinasab - Assistant Professor of Structural Engineering, Lorestan University,

خلاصه مقاله:
optimization of structures to achieve the minimum weight has become very important in recent years. In this paper, the genetic algorithm is an optimization and search technique based on the principles of genetics and natural selection. The genetic algorithm is one of the most popular method among researchers which received considerable attention in last decades. So, we are going to minimize the weight of steel frames using this effective method. constraints on resistance and serviceability are taken from the American Institute of Steel Construction (AISC). The design process of frame with minimum-weight and bracing pattern is selecting a suitable section for beams, columns, and members from The bracket which provides a standard set of sections. The results of this study indicate that optimizing based on minimizing weight can also improve both performance and accuracy of structures.

کلمات کلیدی:
Genetic algorithm, Meta-heuristic, Size optimization, Steel frame

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/846951/