The multi-factor effect of tensile strength of concrete in numerical simulation based on the Monte Carlo random aggregate distribution

Changhong Chen*, Qian Zhang, Leon M. Keer, Yao Yao, Ying Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The effects of specimen size, area fraction of coarse aggregates and porosity on the nominal tensile strength of concrete are investigated by uniaxial tensile simulations based on the Monte Carlo random aggregate model. First, a four-phase random aggregate model, consisting of cement mortar matrix, coarse aggregate, cohesive band and the initial defect, is presented. The numerical simulation is carried out by considering specimen size, area fraction of coarse aggregate and porosity on the nominal tensile strength of concrete, and corresponding fitting formulas are proposed. Next, the relationships of the combined effects on the nominal tensile strength of concrete are shown using the multiplicative form of power exponential function. The proposed formula for the multi-factor combined effect shows good precision.

Original languageEnglish (US)
Pages (from-to)585-595
Number of pages11
JournalConstruction and Building Materials
Volume165
DOIs
StatePublished - Mar 20 2018

Keywords

  • Meso-scale simulation
  • Multi-factor effect
  • Nominal tensile strength
  • Random aggregate model
  • Size effect

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

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