Optimization of Tunnel Reinforcements by Genetic Algorithm with the Aim of Replacing with Fibers

Document Type : Research Article


1 Civil Group, University of Qom, Qom, Iran.

2 Esfahan University, Esfahan, Iran.

3 Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran.


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.


Main Subjects

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