基于加权最小二乘法近似蒙特卡罗模拟的颗粒增强复合材料随机均匀化分析

S. Sakata, F. Ashida, Daiki Iwahashi
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引用次数: 5

摘要

本文用近似方法对颗粒增强复合材料进行了随机均匀化分析。为了分析构件材料弹性性能的微观随机变化对颗粒增强复合材料均匀化弹性性能的影响,采用蒙特卡罗模拟方法。由于传统的蒙特卡罗模拟有时会带来较高的计算成本,因此采用蒙特卡罗模拟结合多项式近似技术的近似随机均匀化方法,并对近似蒙特卡罗模拟的精度进行了研究。为了将低阶逼近有效地应用于近似蒙特卡罗模拟,提出了加权最小二乘法,并结合数值结果对其有效性进行了讨论。
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Stochastic Homogenization Analysis of a Particle Reinforced Composite Material using an Approximate Monte-Carlo Simulation with the Weighted Least Square Method
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.
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