TY - JOUR ID - 4826 TI - Optimization of Tunnel Reinforcements by Genetic Algorithm with the Aim of Replacing with Fibers JO - AUT Journal of Civil Engineering JA - AJCE LA - en SN - 2588-2899 AU - Taghavi Parsa, Mohammad Hossein AU - Sharifi, Hamed AU - Amirchoupani, Pouya AD - Civil Group, University of Qom, Qom, Iran. AD - Esfahan University, Esfahan, Iran. AD - Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran. Y1 - 2022 PY - 2022 VL - 6 IS - 1 SP - 35 EP - 50 KW - optimization KW - genetic algorithm KW - Tunnel KW - Fiber concrete DO - 10.22060/ajce.2022.20088.5757 N2 - In this study, the replacement of fibers with reinforcements of tunnel-reinforced concrete segments has been optimized using the method of the genetic algorithm by five fibers of steel, carbon, aramid, glass, and polypropylene, respectively. As an example, two steps of optimization of the Tehran metro, line seven, have been studied for this purpose. In the first step, the appropriate geometry is selected for the arrangement of the optimized ring reinforcements. The results showed a 62% removal of reinforcements. In the second step, the separated optimal percentages of all five types of fibers and the combination of steel fibers and polypropylene are expressed. Also, for a more accurate simulation of modeling the plastic part of the segment, the results of two methods have been validated, including CDP (concrete damage plasticity) and Brittle Cracking. According to the genetic algorithm, the optimized percentage for steel fibers is 1%, aramid fibers 3%, glass fibers 3%, carbon 1.1%, polypropylene 0.2%, and the composition of steel fibers 1% with 0.1 polypropylene is determined, as well. UR - https://ajce.aut.ac.ir/article_4826.html L1 - https://ajce.aut.ac.ir/article_4826_2faad3e00352deea8aef660773be14b5.pdf ER -