Stochastic Homogenization Analysis of a Particle Reinforced Composite Material using an Approximate Monte-Carlo Simulation with the Weighted Least Square Method
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- SAKATA Sei-ichiro
- Kinki University
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- ASHIDA Fumihiro
- Graduate School of Shimane University
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- IWAHASHI Daiki
- Graduate School of Shimane University
Bibliographic Information
- Other Title
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- Stochastic Homogenization Analysis of a Particle Reinforced Composite Material Using and Approximate Monte Carlo Simulation With the Weighted Least Square Method
Abstract
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.
Journal
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- Journal of Computational Science and Technology
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Journal of Computational Science and Technology 7 (1), 1-11, 2013
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001205274896768
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- NII Article ID
- 130003368064
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- DOI
- 10.1299/jcst.7.1
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- ISSN
- 18816894
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed