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

机译:基于蒙特卡洛随机聚集体分布的数值模拟中混凝土抗拉强度的多因素影响

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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.
机译:通过基于蒙特卡洛随机骨料模型的单轴拉伸模拟,研究了试样尺寸,粗骨料的面积分数和孔隙率对混凝土标称抗拉强度的影响。首先,提出了由水泥砂浆基质,粗骨料,粘结带和初始缺陷组成的四阶段随机骨料模型。通过考虑试件尺寸,粗骨料的面积比和孔隙率对混凝土的标称抗拉强度进行数值模拟,并提出了相应的拟合公式。接下来,使用幂指数函数的乘法形式显示了组合效应对混凝土标称抗拉强度的关系。提出的多因素组合效应公式显示了良好的精度。 (C)2018 Elsevier Ltd.保留所有权利。

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