Global Optimization Using Genetic Algorithm for Portal Steel Frame with Tapered I-Section
نویسنده
چکیده
This study highlights the possibility of using GA (Genetic Algorithm) in everyday design. The global optimization of a frame using linear buckling of 3D model was introduced. The proposed optimal model is compared to the commonly used member checks with interaction formula based on Egyptian code of practice. The results of the proposed model clearly point the advantages of using GA, instead of the classical member checks. The proposed model was used in a parametric study, many influential factors were studied, and then the design recommendations are introduced. The study shows that no need for using lower flange bracing, since the optimal model presents the section dimensions to resist lateral buckling. Using non-compact section and the recommended span-to-depth ratio were introduced as a design guideline.
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