%0 Journal Article
%T 基于多目标优化遗传算法的层合板铺层优化设计<br>Optimization Design of laminate Ply Based on Multi-Objective Optimal Genetic Algorithm
%A 温辉
%A 沈明旭
%J Modeling and Simulation
%P 628-635
%@ 2324-870X
%D 2022
%I Hans Publishing
%R 10.12677/MOS.2022.113059
%X 复合材料层合板在航空航天中有着极其广泛的应用，铺层顺序的优化对层合板性能有着重要的影响。针对层合板铺层优化问题，本文引入等效弹性常数法，再通过多目标优化遗传算法对层合板铺设角进行优化，从而求得所需性能的优化铺层顺序。本文还借助有限元对优化后结果进行谐响应分析验证，结果表明优化后层合板性能得到了明显的提升。本方法对层合板铺层顺序具有良好的优化效果，显著提升了材料的力学性能。<br />
Composite laminates are widely used in aerospace, and the optimization of the layup sequence has an important impact on the performance of laminates. Aiming at the optimization problem of laminate layup, this paper introduces the equivalent elastic constant method, and then optimizes the laying angle of the laminate through the multi-objective optimization genetic algorithm, so as to obtain the optimized layup sequence of the required performance. In this paper, the optimized results are also verified by harmonic response analysis by means of finite element. The results show that the performance of the optimized laminates has been significantly improved. The method has a good optimization effect on the layup sequence of the laminate, and significantly improves the mechanical properties of the material.
%K 层合板，NSGAII，等效弹性常数，铺层优化<br>Laminate
%K NSGAII
%K Effective Elastic Constant
%K Ply Optimization
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=51311