contributor author | Bayat, Alireza | |
contributor author | Gordaninejad, Faramarz | |
date accessioned | 2019-02-28T10:58:53Z | |
date available | 2019-02-28T10:58:53Z | |
date copyright | 8/9/2017 12:00:00 AM | |
date issued | 2018 | |
identifier issn | 0094-4289 | |
identifier other | mats_140_01_011003.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4251391 | |
description abstract | A scale-dependent numerical approach is developed through combining the finite element (FE)-based averaging process with the Monte Carlo method to determine the desired size of a characteristic volume element (CVE) for a random magnetoactive composite (MAC) 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 (SVE) 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 multiscale modeling of randomly particulate magnetoactive composites. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Characteristic Volume Element for Randomly Particulate Magnetoactive Composites | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 1 | |
journal title | Journal of Engineering Materials and Technology | |
identifier doi | 10.1115/1.4037023 | |
journal fristpage | 11003 | |
journal lastpage | 011003-10 | |
tree | Journal of Engineering Materials and Technology:;2018:;volume 140:;issue 001 | |
contenttype | Fulltext | |