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

被引：32

作者：

Chen, Changhong ^{[1
]}

Zhang, Qian ^{[1
]}

Keer, Leon M. ^{[2
]}

Yao, Yao ^{[1
]}

Huang, Ying ^{[3
]}

机构：

[1] Northwestern Polytech Univ, Sch Mech & Civil Engn, Xian 710012, Shaanxi, Peoples R China

[2] Northwestern Univ, Civil & Environm Engn, Evanston, IL 60286 USA

[3] Xian Univ Architecture & Technol, Sch Civil Engn, Xian 710055, Shaanxi, Peoples R China

来源：

CONSTRUCTION AND BUILDING MATERIALS | 2018年 / 165卷

基金：

美国国家科学基金会; 中国国家自然科学基金;

关键词：

Random aggregate model; Size effect; Meso-scale simulation; Nominal tensile strength; Multi-factor effect; COARSE AGGREGATE; FRACTURE ENERGY; SIZE; BEHAVIOR; MODEL; POROSITY;

D O I：

10.1016/j.conbuildmat.2018.01.056

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

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. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：585 / 595

页数：11

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