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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Xiaoying Zhuang
  • Qing Wang
  • Hehua Zhu

External Research Organisations

  • Tongji University

Details

Original languageEnglish
Pages (from-to)536-548
Number of pages13
JournalComputational Materials Science
Volume96
Issue numberPB
Publication statusPublished - 21 Jun 2014
Externally publishedYes

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

ASJC Scopus subject areas

Cite this

A 3D computational homogenization model for porous material and parameters identification. / Zhuang, Xiaoying; Wang, Qing; Zhu, Hehua.
In: Computational Materials Science, Vol. 96, No. PB, 21.06.2014, p. 536-548.

Research output: Contribution to journalArticleResearchpeer 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 ; Vol. 96, No. PB. pp. 536-548.
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