首页> 外文学位 >Accurate, efficient, and stable domain decomposition methods for analysis of electromechanical problems.
【24h】

Accurate, efficient, and stable domain decomposition methods for analysis of electromechanical problems.

机译:准确,有效和稳定的域分解方法,用于分析机电问题。

获取原文
获取原文并翻译 | 示例

摘要

In this dissertation, advanced and robust numerical algorithms are developed to expand the capability and improve the efficiency of the finite-element analysis of electromechanical problems. First, the formulation of the dual-primal finite element tearing and interconnecting (FETI-DP) method is presented in details. With the FETI-DP method, an original large-scale problem is decomposed into smaller subdomain problems and parallel computing schemes are then employed to reduce the computation time significantly. Second, the tree-cotree splitting (TCS) method is adopted to deal with the low-frequency breakdown problem, which often accompanies the finite-element analysis of electromechanical problems. Third, higher-order hierarchical basis functions are implemented to improve the accuracy of the simulation and also to facilitate the treatment of the low-frequency breakdown problem. Fourth, the LU recombination method is adopted as an alternative for solving the low-frequency breakdown problem. Since the LU recombination method deals with the system matrices directly, it is a more general approach which can be applied across different basis functions or even different numerical methods. Various numerical examples are presented to validate the proposed algorithm and demonstrate its performance and applications.
机译:本文提出了先进而鲁棒的数值算法,以扩展机电问题的有限元分析能力并提高其效率。首先,详细介绍了双基元有限元撕裂和互连(FETI-DP)方法的制定。利用FETI-DP方法,可以将原始的大规模问题分解为较小的子域问题,然后采用并行计算方案来显着减少计算时间。其次,采用树-树分解法处理低频击穿问题,该问题经常伴随着机电问题的有限元分析。第三,实现高阶分层基础函数以提高仿真的准确性,并也有助于处理低频击穿问题。第四,采用LU重组方法解决低频击穿问题。由于LU重组方法直接处理系统矩阵,因此它是一种更通用的方法,可以应用于不同的基函数甚至不同的数值方法。给出了各种数值示例,以验证所提出的算法并演示其性能和应用。

著录项

  • 作者

    Yao, Wang.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Engineering Electronics and Electrical.;Computer Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:53

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号