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首页> 外文期刊>International Journal for Numerical Methods in Engineering >A stochastic second-order and two-scale thermo-mechanical model for strength prediction of concrete materials
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A stochastic second-order and two-scale thermo-mechanical model for strength prediction of concrete materials

机译:混凝土材料强度预测的随机二阶和二维热力学模型

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摘要

A stochastic thermo-mechanical model for strength prediction of concrete is developed, based on the two-scale asymptotic expressions, which involves both the macroscale and the mesoscale of concrete materials. The mesoscale of concrete is characterized by a periodic layout of unit cells of matrix-aggregate composite materials, consisting of randomly distributed aggregate grains and cement matrix. The stochastic second-order and two-scale computational formulae are proposed in detail, and the maximum normal stress is assumed as the strength criterion for the aggregates, and the cement paste, in view of their brittle characteristics. Numerical results for the strength of concrete obtained from the proposed model are compared with those from known experiments. The comparison shows that the proposed method is validated for strength prediction of concrete. The proposed thermo-mechanical model is also employed to investigate the influence of different volume fraction of the aggregates on the strength of concrete. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:基于两尺度渐近表达式,建立了涉及混凝土材料宏观尺度和中尺度尺度的随机热力学模型,用于混凝土强度的预测。混凝土的中尺度特征是基体-骨料复合材料的晶胞周期性排列,由无规分布的骨料颗粒和水泥基体组成。提出了随机的二阶和二阶计算公式,并考虑到骨料和水泥浆的脆性,将最大正应力作为强度标准。从建议的模型获得的混凝土强度的数值结果与已知实验的结果进行了比较。比较表明,该方法可用于混凝土强度预测。提出的热力学模型也被用来研究不同体积分数的骨料对混凝土强度的影响。版权所有(C)2016 John Wiley&Sons,Ltd.

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