期刊文献+

基于Kriging代理模型的拉压不同模量平面问题的近似求解 被引量:4

AN APPROXIMATE SOLUTION FOR THE BIMODULAR PLANE PROBLEM BASED ON KRIGING SURROGATE MODEL
原文传递
导出
摘要 该文建议采用Kriging代理模型数值求解拉压不同模量平面问题。通过本构方程光滑化、有限元法及拉丁超立方采样技术,对拉压不同模量桁架与二维平面问题,给出了基于Kriging模型的近似数值解,以代理基于有限元的数值解,并探讨了样本点数目和问题规模对所建Kriging近似模型求解精度/效率的影响。数值算例表明:所提方法可为求解拉压不同模量平面问题提供精度合理的近似数值解。当问题规模较大且正问题需要多次求解时,该方法有望显著减少计算时间,这对于降低拉压不同模量反问题与优化问题的计算开销十分重要。 Kriging surrogate model is suggested to approximate the solutions of bimodular plane elastic problems.By utilizing a smoothed constitutive equation,finite element method,and the Latin hypercube sampling skill,a Kriging model based approximate numerical solution is presented to surrogate the FEM based solution of bimodular trusses and 2D plane problems.The impacts of sample numbers and problem scales on the computing accuracy/efficiency of the surrogate model are investigated.Numerical tests indicate that the proposed approach is capable of providing an approximate numerical solution with a reasonable computing accuracy for the bimodular plane problem,and considerable amount of computing time can be saved particularly when the solutions of direct bimodular problems are continually required and the problem scale is relatively large.The work presented in this paper is significantly valuable for saving computing time in solving the inverse bimodular problem and bimodular optimization problem.
出处 《工程力学》 EI CSCD 北大核心 2013年第4期23-27,34,共6页 Engineering Mechanics
基金 国家自然科学基金项目(10421002 10772035 10721062 11072043) 国家"973"重点基础研究发展规划项目(2005CB321704 2010CB832703)
关键词 双模量 Kriging代理模型 平面问题 有限元 计算开销 bimodulus Kriging surrogate model plane problems FEM computing expense
  • 相关文献

参考文献15

  • 1阿姆巴尔楚米扬CA 邬瑞锋 张允真 译.不同模量弹性理论[M].北京:中国铁道出版社,1986..
  • 2杨海天,朱应利.光滑函数法求解拉压不同弹性模量问题[J].计算力学学报,2006,23(1):19-23. 被引量:15
  • 3杨海天,张晓月,何宜谦.两级敏度分析求解双弹性模量桁架结构反问题[J].固体力学学报,2010,31(2):198-204. 被引量:2
  • 4Yang H T,Xu M L.Solving inverse bimodular problemsvia artificial neural network[J].Inverse Problems inScience and Engineering,2009,17(8):999-1017.
  • 5Jin R,Chen Wei,Simpson T W.Comparative studies ofmetamodelling techniques under multiple modellingcriteria[J].Structural and Multidisciplinary Optimization,2001,23(1):1-13.
  • 6高月华.基于Kriging代理模型的优化设计方法及其在注塑成型中的应用[D].大连:大连理工大学,2008:16,19-22.
  • 7Martin J D,Simpson T W.On the use of kriging modelsto approximate deterministic computer models[C]//ASME International Design Engineering TechnicalConferences and Computers and Information inEngineering Conference.Salt Lake City,Utah,USA,2004:1-2.
  • 8Pacheco J E,Amon C H,Finger S.Bayesian surrogatesapplied to conceptual stages of the engineering designprocess[J].Journal of Mechanical Design,2003,125:664-672.
  • 9Booker A J,Dennis J E.A rigorous framework foroptimization of expensive functions by surrogates[J].Structural Optimization,1999,17(1):1-13.
  • 10Koch P N,Wujek B A,Golovidov O,Simpson T W.Facilitating probabilistic multidisciplinary designoptimization using kriging approximation models[C]//9th AIAA/ISSMO Symposium on MultidisciplinaryAnalysis and Optimization.Atlanta,Georgia,2002:14-23.

二级参考文献22

共引文献39

同被引文献48

引证文献4

二级引证文献12

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