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

科研成果: 期刊稿件文章同行评审

31 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)585-595
页数11
期刊Construction and Building Materials
165
DOI
出版状态已出版 - 20 3月 2018

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