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Enqiang Zhu,Rabi Muyad Najem,Du Dinh-Cong,Zehui Shao,Karzan Wakil,Lanh Si Ho,Rayed Alyousef,Hisham Alabduljabbar,Abdulaziz Alaskar,Fahed Alrshoudi,Abdeliazim Mustafa Mohamed 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.34 No.4
Genetic Algorithm (GA) is a meta-heuristic algorithm which is capable of providing robust solutions for optimal design of structural components, particularly those one needs considering many design requirements. Hence, it has been successfully used by engineers in the typology optimization of structural members. As a novel approach, this study employs GA in order for conducting a case study with high constraints on the optimum mechanical properties of reinforced concrete (RC) beams under different load combinations. Accordingly, unified optimum sections through a computer program are adopted to solve the continuous beams problem. Genetic Algorithms proved in finding the optimum resolution smoothly and flawlessly particularly in case of handling many complicated constraints like a continuous beam subjected to different loads as moments shear - torsion regarding the curbs of design codes.
Optimum cost design of frames using genetic algorithms
Chulin Chen,Salim Taib Yousif,Rabi’ Muyad Najem,Ali Abavisani,Binh Thai Pham,Karzan Wakil,Edy Tonnizam Mohamad,Majid Khorami 국제구조공학회 2019 Steel and Composite Structures, An International J Vol.30 No.3
The optimum cost of a reinforced concrete plane and space frames have been found by using the Genetic Algorithm (GA) method. The design procedure is subjected to many constraints controlling the designed sections (beams and columns) based on the standard specifications of the American Concrete Institute ACI Code 2011. The design variables have contained the dimensions of designed sections, reinforced steel and topology through the section. It is obtained from a predetermined database containing all the single reinforced design sections for beam and columns subjected to axial load, uniaxial or biaxial moments. The designed optimum beam sections by using GAs have been unified through MATLAB to satisfy axial, flexural, shear and torsion requirements based on the designed code. The frames’ functional cost has contained the cost of concrete and reinforcement of steel in addition to the cost of the frames’ formwork. The results have found that limiting the dimensions of the frame’s beams with the frame’s columns have increased the optimum cost of the structure by 2%, declining the re-analysis of the optimum designed structures through GA.