Computational model generation and RVE design of self-healing concrete

Md Shahriar Quayum, Xiaoying Zhuang, Timon Rabczuk

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Computational homogenization is a versatile tool that can extract effective properties of heterogeneous or composite material through averaging technique. Self-healing concrete (SHC) is a heterogeneous material which has different constituents as cement matrix, sand and healing agent carrying capsules. Computational homogenization tool is applied in this paper to evaluate the effective properties of self-healing concrete. With this technique, macro and micro scales are bridged together which forms the basis for multi-scale modeling. Representative volume element (RVE) is a small (microscopic) cell which contains all the microphases of the microstructure. This paper presents a technique for RVE design of SHC and shows the influence of volume fractions of different constituents, RVE size and mesh uniformity on the homogenization results.

Original languageEnglish
Pages (from-to)383-396
Number of pages14
JournalJournal of Contemporary Physics
Volume50
Issue number4
DOIs
Publication statusPublished - 2015 Oct 1
Externally publishedYes

Fingerprint

healing
homogenizing
capsules
cements
sands
mesh
microstructure
composite materials
matrices
cells

Keywords

  • homogenization
  • multiscale modelling
  • representative volume element
  • self-healing concrete (SHC)

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Computational model generation and RVE design of self-healing concrete. / Quayum, Md Shahriar; Zhuang, Xiaoying; Rabczuk, Timon.

In: Journal of Contemporary Physics, Vol. 50, No. 4, 01.10.2015, p. 383-396.

Research output: Contribution to journalArticle

Quayum, Md Shahriar ; Zhuang, Xiaoying ; Rabczuk, Timon. / Computational model generation and RVE design of self-healing concrete. In: Journal of Contemporary Physics. 2015 ; Vol. 50, No. 4. pp. 383-396.
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