TY - JOUR ID - 100855 TI - Optimization-Based Design of 3D Reinforced Concrete Structures JO - Journal of Soft Computing in Civil Engineering JA - SCCE LA - en SN - AU - Dehnavipour, Hamid AU - Mehrabani, Mehrnaz AU - Fakhriyat, Ahmadreza AU - Jakubczyk-Gałczyńska, Anna AD - Faculty of Civil Engineering, Semnan University, Semnan, Iran AD - M.Sc., Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran AD - Assistant Professor, Department of Construction Management and Earthquake Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gdansk, Poland Y1 - 2019 PY - 2019 VL - 3 IS - 3 SP - 95 EP - 106 KW - optimization KW - concrete structure KW - Seismic Design KW - Particle Swarm Algorithm DO - 10.22115/scce.2020.211509.1145 N2 - In the design of reinforced concrete (RC) structures, finding the optimal section of members and the optimal rebar, which is capable of observing building code’s requirements, is always the primary concern to engineers. Since an optimal design needs a trial-and-error approach, which designs are almost assumed without this approach, that is unlikely to lead to the best solution. Therefore, in this article, the aim is achieving an optimal structural design that can satisfy the building code’s requirements, such as constraints on flexural strength, shear strength, drift, and constraint of construction at the same time. The work is presented in this paper intends to accelerate the process with an optimization system. To do so, a six-story RC structure analyzed by the linear static method and results of the optimization process, done by the Particle Swarm optimization algorithm (PSO), has shown that the weight of the structure optimized and observed limitations. UR - https://www.jsoftcivil.com/article_100855.html L1 - https://www.jsoftcivil.com/article_100855_63a6a25ca9028078b1dba562b1fdbac9.pdf ER -