Hierarchical Stochastic Homogenization Analysis of a Short-Fiber Reinforced Composite Material Considering a Non-Uniform Microscopic Random Variation

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

This paper discusses a stochastic homogenization analysis problem of a unidirectionally aligned short fiber reinforced composite material considering a uniform and/or non-uniform random variation of a microscopic quantity such as a material property or volume fraction of a microstructure. The homogenization analysis is performed with the homogenization theory and the equivalent inclusion method, and the stochastic analysis is performed with the perturbation-based method. In order to analyze the stochastic homogenization problem considering a periodic non-uniform microscopic random variation of the microscopic quantity, the hierarchical stochastic homogenization analysis procedure is proposed. As an example, the stochastic homogenization problems considering a non-uniform random variation of Young's modulus of resin and volume fraction of fiber are solved. From the numerical results, influence of the non-uniformity of the microscopic random variation is discussed. Also, from comparison between the results obtained with the proposed method and the Monte-Carlo simulation, accuracy of the proposed approach for the stochastic homogenization analysis of the short fiber reinforced composite material is discussed. © 2011, The Japan Society of Mechanical Engineers. All rights reserved.

Cite

CITATION STYLE

APA

Sakata, S. I., Ashida, F., & Tanaka, R. (2011). Hierarchical Stochastic Homogenization Analysis of a Short-Fiber Reinforced Composite Material Considering a Non-Uniform Microscopic Random Variation. Nihon Kikai Gakkai Ronbunshu, A Hen/Transactions of the Japan Society of Mechanical Engineers, Part A, 77(783), 1945–1955. https://doi.org/10.1299/kikaia.77.1945

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free