基于EFG法和遗传优化算法的结构形状优化研究
STUDY ON STRUCTURAL SHAPE OPTIMIZATION USING ELEMENT-FREE GALERKIN METHOD AND GENETIC OPTIMAL ALGORITHM
本文将无网格Galerkin法(Element-Free Galerkin Method—EFGM)和改进的Matlab遗传算法工具箱(Matlab Genetic Toolbox—MGT)相结合，提出了一种新的连续体结构形状优化设计方法。并针对形状优化设计的特点，建立了一种规则网格与有限元网格混合的EFG积分背景网格法。详细介绍了M函数文件的修改方法，以处理Matlab遗传算法工具箱不能直接施加的非线性与隐性约束条件。最后，完成了一个工程实例的结构形状优化，所得结果显示了该方法是可行的。
Integrating Matlab Genetic Toolbox with Element-Free Galerkin Method, a novel approach to continuum-based structural shape optimization problem is presented in this paper. According to the characteristic of shape optimization, a method combining regular mesh with element mesh is recommended. Thoroughly introduce the approach how to modify the M file to impose no-linear, implicit constraint that GAT can’t directly do. The results of the example, a practical optimization problem of connecting rod, show the feasibility of the approaches introduced.
陈仁科、龚曙光、张建平、黄云清
工程基础科学工程设计、工程测绘
形状优化无网格法无单元伽辽金法Matlab遗传算法工具箱背景网格
Shape optimizationMeshless methodsElement-Free Galerkin MethodMatlab Genetic Toolbox background mesh
陈仁科,龚曙光,张建平,黄云清.基于EFG法和遗传优化算法的结构形状优化研究[EB/OL].(2006-11-22)[2025-06-25].http://www.paper.edu.cn/releasepaper/content/200611-618.点此复制
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