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Data structures and program techniques of finite element methods for analysis and optimization of electric devices

机译:用于电气设备分析和优化的有限元方法的数据结构和编程技术

摘要

State-of-the-art programming techniques of finite element methods (FEM) for electromagnetic field computation are presented. It covers program structure, data structure and algebraic matrix equation solver. The advantages of the proposed program structure are that multi-developers are empowered to work on different solvers and share common algorithms. The beauty of the proposed data structure are that two dimensional (2-D) FEM, multi-slice FEM and three-dimensional (3-D) FEM can share the same data structure. It allows quick access to all data and is efficient for organizing FEM programs and convenient for mesh generation. It can also deal with motion problems readily. The merits of the matrix equation solver are that it can automatically deal with Dirichlet boundary conditions, master-salve boundary conditions and all other constraints in sparse matrix equations. The sub-matrix operation technique allows the electric circuit equations to be coupled easily with electromagnetic field equations. To couple the FEM with optimization method, a parameterized mesh technique is proposed to avoid mesh regeneration in the optimization progress.
机译:介绍了用于电磁场计算的有限元方法(FEM)的最新编程技术。它涵盖程序结构,数据结构和代数矩阵方程求解器。所提出的程序结构的优点在于,多开发人员有权使用不同的求解器并共享通用算法。所提出的数据结构的优点在于,二维(2-D)FEM,多层FEM和三维(3-D)FEM可以共享相同的数据结构。它允许快速访问所有数据,并且对于组织FEM程序非常有效,并且便于网格生成。它还可以轻松解决运动问题。矩阵方程求解器的优点是它可以自动处理Dirichlet边界条件,主从边界条件和稀疏矩阵方程中的所有其他约束。子矩阵运算技术使电路方程式易于与电磁场方程式耦合。为了将有限元与优化方法结合起来,提出了一种参数化网格技术,以避免在优化过程中网格的再生。

著录项

  • 作者

    Fu W; Chen Y;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-20 20:56:12

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