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  • 标题:Stochastic Homogenization Analysis of a Particle Reinforced Composite Material using an Approximate Monte-Carlo Simulation with the Weighted Least Square Method
  • 本地全文:下载
  • 作者:Sei-ichiro SAKATA ; Fumihiro ASHIDA ; Daiki IWAHASHI
  • 期刊名称:Journal of Computational Science and Technology
  • 电子版ISSN:1881-6894
  • 出版年度:2013
  • 卷号:7
  • 期号:1
  • 页码:1-11
  • DOI:10.1299/jcst.7.1
  • 出版社:The Japan Society of Mechanical Engineers
  • 摘要:This paper describes a stochastic homogenization analysis of a particle reinforced composite material using an approximation technique. In order to analyze the influence of a microscopic random variation of an elastic property of a component material on the homogenized elastic property of a particle reinforced composite material, the Monte-Carlo simulation is employed. Since the conventional Monte-Carlo simulation sometimes involves a higher computational cost, an approximate stochastic homogenization method using the Monte-Carlo simulation combined with a polynomial-based approximation technique is employed, and accuracy of the approximate Monte-Carlo simulation is investigated. In order to apply a lower order approximation to the approximate Monte-Carlo simulation effectively, the weighted least square method is proposed, and its effectiveness is discussed with the numerical results.
  • 关键词:Stochastic Homogenization Analysis;Approximate Monte-Carlo Simulation;Weighted Least Square Method;Particle Reinforced Composite Material
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