A 3D computational homogenization model for porous material and parameters identification

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Xiaoying Zhuang
  • Qing Wang
  • Hehua Zhu

Externe Organisationen

  • Tongji University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)536-548
Seitenumfang13
FachzeitschriftComputational Materials Science
Jahrgang96
AusgabenummerPB
PublikationsstatusVeröffentlicht - 21 Juni 2014
Extern publiziertJa

Abstract

Based on the assumptions of periodicity and separation of two length scales, a 3D computational homogenization model is developed for porous material. The method is implemented based on the finite element method by assuming linear material behavior. Numerical examples show that the variation of pore geometry and spatial distribution will result in much higher level local stress concentration compared to the macroscale smeared out stress, apart from bringing the material properties in transition to transverse isotropy. The convergence studies and the comparison to the reference/analytical solution show that the linear computational homogenization is an effective method for modelling the linear elastic porous materials.

ASJC Scopus Sachgebiete

Zitieren

A 3D computational homogenization model for porous material and parameters identification. / Zhuang, Xiaoying; Wang, Qing; Zhu, Hehua.
in: Computational Materials Science, Jahrgang 96, Nr. PB, 21.06.2014, S. 536-548.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Zhuang X, Wang Q, Zhu H. A 3D computational homogenization model for porous material and parameters identification. Computational Materials Science. 2014 Jun 21;96(PB):536-548. doi: 10.1016/j.commatsci.2014.04.059
Zhuang, Xiaoying ; Wang, Qing ; Zhu, Hehua. / A 3D computational homogenization model for porous material and parameters identification. in: Computational Materials Science. 2014 ; Jahrgang 96, Nr. PB. S. 536-548.
Download
@article{cd89acb76bf24cdab8b05e4ead357a49,
title = "A 3D computational homogenization model for porous material and parameters identification",
abstract = "Based on the assumptions of periodicity and separation of two length scales, a 3D computational homogenization model is developed for porous material. The method is implemented based on the finite element method by assuming linear material behavior. Numerical examples show that the variation of pore geometry and spatial distribution will result in much higher level local stress concentration compared to the macroscale smeared out stress, apart from bringing the material properties in transition to transverse isotropy. The convergence studies and the comparison to the reference/analytical solution show that the linear computational homogenization is an effective method for modelling the linear elastic porous materials.",
keywords = "3D computational homogenization, Local stress concentration, Multiscale modelling, Parameter identification, Porous material",
author = "Xiaoying Zhuang and Qing Wang and Hehua Zhu",
note = "Funding information: The authors gratefully acknowledge the supports from the NSFC Key Program ( 41130751 ), the National Basic Research Program of China (973 Program: 2011CB013800 ), the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT, IRT1029 ), the Western China Communication ( 2011ZB04 ), the Shanghai Chenguang Program ( 12CG20 ).",
year = "2014",
month = jun,
day = "21",
doi = "10.1016/j.commatsci.2014.04.059",
language = "English",
volume = "96",
pages = "536--548",
journal = "Computational Materials Science",
issn = "0927-0256",
publisher = "Elsevier",
number = "PB",

}

Download

TY - JOUR

T1 - A 3D computational homogenization model for porous material and parameters identification

AU - Zhuang, Xiaoying

AU - Wang, Qing

AU - Zhu, Hehua

N1 - Funding information: The authors gratefully acknowledge the supports from the NSFC Key Program ( 41130751 ), the National Basic Research Program of China (973 Program: 2011CB013800 ), the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT, IRT1029 ), the Western China Communication ( 2011ZB04 ), the Shanghai Chenguang Program ( 12CG20 ).

PY - 2014/6/21

Y1 - 2014/6/21

N2 - Based on the assumptions of periodicity and separation of two length scales, a 3D computational homogenization model is developed for porous material. The method is implemented based on the finite element method by assuming linear material behavior. Numerical examples show that the variation of pore geometry and spatial distribution will result in much higher level local stress concentration compared to the macroscale smeared out stress, apart from bringing the material properties in transition to transverse isotropy. The convergence studies and the comparison to the reference/analytical solution show that the linear computational homogenization is an effective method for modelling the linear elastic porous materials.

AB - Based on the assumptions of periodicity and separation of two length scales, a 3D computational homogenization model is developed for porous material. The method is implemented based on the finite element method by assuming linear material behavior. Numerical examples show that the variation of pore geometry and spatial distribution will result in much higher level local stress concentration compared to the macroscale smeared out stress, apart from bringing the material properties in transition to transverse isotropy. The convergence studies and the comparison to the reference/analytical solution show that the linear computational homogenization is an effective method for modelling the linear elastic porous materials.

KW - 3D computational homogenization

KW - Local stress concentration

KW - Multiscale modelling

KW - Parameter identification

KW - Porous material

UR - http://www.scopus.com/inward/record.url?scp=84908692097&partnerID=8YFLogxK

U2 - 10.1016/j.commatsci.2014.04.059

DO - 10.1016/j.commatsci.2014.04.059

M3 - Article

AN - SCOPUS:84908692097

VL - 96

SP - 536

EP - 548

JO - Computational Materials Science

JF - Computational Materials Science

SN - 0927-0256

IS - PB

ER -