Optimization and Replacement Tunnel Reinforced Concrete Segment Reinforcements with Fibers by Using Genetic Algorithm Method

Document Type : Research Article

Authors

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

Abstract

In this study, the replacement of fibers with reinforcements of tunnel reinforced concrete segments has been optimized using the method of genetic algorithm by five fibers of steel, carbon, aramid, glass, and polypropylene.In this study, the replacement of fibers with reinforcements of tunnel reinforced concrete segments has been optimized using the method of genetic algorithm by five fibers of steel, carbon, aramid, glass, and polypropylene. For this purpose, two steps of optimization of Tehran metro line seven has been studied as an example. 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. 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, CDP and Brittle Cracking have been validated. 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.

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