基于有限元法和正交阵列的优化技术

Stuart H. Young
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引用次数: 4

摘要

本研究的目的是开发一种优化技术,可以被设计工程师交互使用,以最小的计算量接近最佳设计。该技术可以应用于设计变量的连续值和离散值。还可以考虑大量的设计变量。为了实现这一目标,由于有限元分析是设计工程师常用的分析工具,因此将有限元分析(FEA)与正交阵列实验技术相结合,开发了一种优化程序。根据有限元分析结果和正交矩阵,构造了一个平均雅可比矩阵,表示设计变量的平均总体灵敏度。然后利用这些灵敏度来优化设计参数。然后,工程师可以根据自己的判断重复这个过程,直到他对设计满意为止。通常,设计师可以在优化过程之前预测和控制FEA计算的次数,以便他可以为优化设计计划预算和时间。应用该方法对设计变量为连续值和离散值的桁架结构进行了结构优化实例研究。它们的最优解是通过少量的迭代得到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimization Technique Using the Finite Element Method and Orthogonal Arrays
The objective of this research was to develop an optimization technique that can be used interactively by design engineers to approach an optimal design with minimal computational effort. The technique can be applied to both continuous and discrete values of design variables. A large number of design variables can be also considered. In order to meet the objective, an optimization procedure was developed by coupling the finite element analysis (FEA) to the orthogonal array experimentation technique, because FEA is a common analysis tool for design engineers. From the results of the FEA and an orthogonal array, an average Jacobian matrix was constructed that showed the average overall sensitivity of the design variables. These sensitivities were then used to optimize the design parameters. The process could then be repeated at the discretion of the engineer until he was satisfied with the design. In general, the designer can predict and control the number of FEA calculations before an optimization process so that he can plan a budget and time for an optimal design. Some examples of structural optimization with truss structures with continuous and discrete values of design variables were studied using the technique developed in this paper. Their optimal solutions were found with small numbers of iterations.
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