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Optimizing reinforced concrete beams under different load cases and material mechanical properties using genetic algorithms

Authors: 

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

Source title: 
Steel and Composite Structures, 34(4): 467-485, 2020 (ISI)
Academic year of acceptance: 
2019-2020
Abstract: 

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.