TY - JOUR
T1 - The multi-factor effect of tensile strength of concrete in numerical simulation based on the Monte Carlo random aggregate distribution
AU - Chen, Changhong
AU - Zhang, Qian
AU - Keer, Leon M.
AU - Yao, Yao
AU - Huang, Ying
N1 - Funding Information:
The authors would like to acknowledge the financial support by the National Natural Science Foundation of China ( 51408489 , 51248007 , 51308448 and 11572249 ), the China Scholarship Council ( 201606295016 ), the Shaanxi National Science Foundation of China ( 2017JM5077 ), and the Top International University Visiting Program for Outstanding Young Scholars of Northwestern Polytechnical University .
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/3/20
Y1 - 2018/3/20
N2 - 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.
AB - 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.
KW - Meso-scale simulation
KW - Multi-factor effect
KW - Nominal tensile strength
KW - Random aggregate model
KW - Size effect
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U2 - 10.1016/j.conbuildmat.2018.01.056
DO - 10.1016/j.conbuildmat.2018.01.056
M3 - Article
AN - SCOPUS:85040689435
VL - 165
SP - 585
EP - 595
JO - Construction and Building Materials
JF - Construction and Building Materials
SN - 0950-0618
ER -