Reinforcement Design for Composite Laminate with Large Cutout by a Genetic Algorithm Method

Abstract

A dual-zone reinforcement ply stacking sequence optimization method used for comosite laminate with large cutout is present. The optimization method utilized a new Genetic Algorithm. The new Genetic Algorithm introduced a new strategy which can improve the efficiency of the traditional Genetic Algorithm and overcome the shortages of the worse convergency and prematurity of the Simple Genetic Algorithm. In the new Genetic Algorithm, the selection probability and the mutation probability are self-adaptive. Compared with the Simple Genetic Algorithm, the new Genetic Algorithm method shows good consistency, fast convergency and practical feasibility. By using the new Genetic Algorithm, the reinforcement ply stacking sequence optimization method got reasonable symmetric and balance stacking sequence which could meet the design requirements.

Optimization of perforated composite plates under tensile stress using genetic algorithm

“…Many studies have been done for optimizing composite structures using the genetic algorithm. [16][17][18][19] However, no study has been done so far on the topic of this paper. To evaluate the effective parameters of the stress distribution around the cutout using genetic algorithm, the following steps are performed.…”

“…The population is divided into two equal parts and the top half with the higher fitness values will survive and be replicated into the next generation. 17,19 The new value of a variable (for example, bluntness parameter) is calculated as follows…”

Optimization of a New Composite Multicellular Plate Structure in Order to Reduce Weight

“…Laminated plates consist of more laminas (layers). Instead of traditional metal structures, these composite laminates are often used because of their high strength and light weight [ 14 , 15 ].…”