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An optimization technique using the finite element method and orthogonal arrays

机译:使用有限元方法和正交数组的优化技术

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摘要

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 a satisfactory design is obtained. In general, the designer can predict and control the number of FEA calculations before an optimization process so that one can plan a budget and time for an optimal design. Some examples of structural optimization with truss and frame structures with continuous and discrete values of design variables were studied using the technique developed in this paper. Their optimal solutions were found with a small number of iterations.
机译:这项研究的目的是开发一种优化技术,设计工程师可以交互使用该技术,以最少的计算量来实现最佳设计。该技术可以应用于设计变量的连续值和离散值。也可以考虑大量的设计变量。为了达到该目标,由于有限元分析是设计工程师常用的分析工具,因此通过将有限元分析(FEA)与正交阵列实验技术相结合,开发了一种优化程序。根据有限元分析和正交阵列的结果,构造了一个平均雅可比矩阵,该矩阵显示了设计变量的平均总体灵敏度。然后将这些灵敏度用于优化设计参数。然后,工程师可以自行决定重复该过程,直到获得满意的设计为止。通常,设计人员可以在优化过程之前预测并控制FEA计算的数量,以便可以为优化设计计划预算和时间。使用本文开发的技术研究了具有连续和离散设计变量值的桁架和框架结构的结构优化示例。他们的最佳解决方案是通过少量迭代找到的。

著录项

  • 作者

    Young Stuart H.;

  • 作者单位
  • 年度 1996
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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