期刊文献+

基于缩减基法的冲压模具结构分析 被引量:1

Application of Reduced-basis Method in Analysis of Mold Structure
下载PDF
导出
摘要 研究冲压模具结构优化设计,针对冲压模具结构复杂,设计参数较多,利用传统方法计算效率低下的现状,为解决上述问题,提出用缩减基法(Reduced-basis Method,RBM)建立了一套冲压模具快速分析方法。分析过程包括对样本参数进行有限元法(Finite-element Method,FEM)求解,建立低维减基空间,并在减基空间内利用线性组合构造任意参数下的近似结果。在RBM上降低了求解空间维数,并通过仿射变换提取设计参数简化了重复建模,提高了分析效率。通过计算实例验证,RBM在提高运算速度的同时具有很高的计算精度,是一种有效的优化结构设计方法。 The analysis of stamping mold using of traditional method is inefficiency because of its complicated structure and multi-design parameters.This paper set up a new way of analyzing stamping mold based on the Reduced-basis Method(RBM).RBM calculation process included two stages:N sample design parameters were selected,and space of design parameters of the mold was established on the off-line stage.when new design parameters were selected,the on-line stage was to solve N-dimensional space to achieve solutions.RBM lowered the difficulty of analyzing the dimension of space,simplified the process of building stamping mold repeatedly and improved the analyzing efficiency.Finally the error analysis shows that RBM can get results very fast without losing accuracy,which is an effective method of structural analysis.
出处 《计算机仿真》 CSCD 北大核心 2011年第12期366-370,共5页 Computer Simulation
基金 教育部长江学者与创新团队发展计划(531105050037) 湖南大学汽车车身先进设计制造国家重点实验室自主课题(60870005)
关键词 缩减基法 模具结构 误差分析 Reduced-basis method Mold structure Error analysis
  • 相关文献

参考文献10

二级参考文献32

  • 1杨晓帆,陈廷槐.人工神经网络固有的优点和缺点[J].计算机科学,1994,21(2):23-26. 被引量:72
  • 2冯国胜.汽车车架结构参数的优化设计[J].计算结构力学及其应用,1994,11(2):218-220. 被引量:18
  • 3李华昌,谢淑兰,易忠胜.遗传算法的原理与应用[J].矿冶,2005,14(1):87-90. 被引量:43
  • 4张健,李为吉.飞机多学科设计优化中的近似方法分析[J].航空计算技术,2005,35(3):5-8. 被引量:15
  • 5Thomas B L. Reduced--basis Output Bounds for Linear Elasticity.. Application to Microtruss Structures[D]. Cambridge: Massachusetts Institute of Technology, 2001.
  • 6Maday Y, Renquist E M. A Reduced--basis Element Method[J]. Journal of Scientific Computing, 2002, 17(1/4): 447-459.
  • 7Balmes E. Parametric Families of Reduced Finite Element Models: Theory and Applications[J]. Mechanical System and Signal Processing, 1996, 10 (4) : 381-394.
  • 8Veroy K. Reduced- basis Methods Applied to Problems in Elasticity: Analysis and Applications [D]. Cambridge.. Massachusetts Institute of Technology, 2003.
  • 9Grepl M A. Reduced--basis Approximation and a Posteriori Error Estimation for Parabolic Partial Differential Equations[D]. Cambridge: Massachusetts Institute of Technology, 2005.
  • 10Liu G R, Han X. Computational Inverse Techniques in Nondestructive Evaluation[M]. Boca Raton,Florida: CRC Press LLC, 2003.

共引文献54

同被引文献10

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部