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research-article

Characteristic Volume Element for Randomly Particulate Magnetoactive Composites

[+] Author and Article Information
Alireza Bayat

Composite and Intelligent Materials Laboratory Department of Mechanical Engineering University of Nevada, Reno, Reno, Nevada 89557, USA
abayat@unr.edu

Faramarz Gordaninejad

Composite and Intelligent Materials Laboratory Department of Mechanical Engineering University of Nevada, Reno, Reno, Nevada 89557, USA
faramarz@unr.edu

1Corresponding author.

ASME doi:10.1115/1.4037023 History: Received November 18, 2016; Revised June 01, 2017

Abstract

A scale-dependent numerical approach is developed through combining the finite element-based averaging process with the Monte-Carlo method to determine the desired size of a characteristic volume element for a random magnetoactive composite under applied magnetic field and large deformations. Spatially random distribution of identically magnetic inclusions inside a soft homogeneous matrix is considered to find the appropriate size of the characteristic volume element. Monte-Carlo method is used to generate ensembles of a randomly distributed magnetoactive composite to be applied in the homogenization study. The ensemble is utilized as a statistical volume element in a scale dependent numerical algorithm to search the desired characteristic volume element size. Results of this study can be used to investigate effective behavior and multi-scale modeling of randomly particulate magnetoactive composites.

Copyright (c) 2017 by ASME
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