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Perturbation-based stochastic multi-scale computational homogenization method for the determination of the effective properties of composite materials with random properties

机译:基于扰动的随机多尺度计算均匀化方法确定具有随机特性的复合材料的有效特性

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Quantifying uncertainty in the overall elastic properties of composite materials arising from randomness in the material properties and geometry of composites at microscopic level is crucial in the stochastic analysis of composites. In this paper, a stochastic multi-scale finite element method, which couples the multi-scale computational homogenization method with the second-order perturbation technique, is proposed to calculate the statistics of the overall elasticity properties of composite materials in terms of the mean value and standard deviation. The uncertainties associated with the material properties of the constituents are considered. Performance of the proposed method is evaluated by comparing mean values and coefficients of variation for components of the effective elastic tensor against corresponding values calculated using Monte Carlo simulation for three numerical examples. Results demonstrate that the proposed method has sufficient accuracy to capture the variability in effective elastic properties of the composite induced by randomness in the constituent material properties. (C) 2015 Elsevier B.V. All rights reserved.
机译:在复合材料的随机分析中,量化由复合材料的材料性能和几何形状的随机性引起的复合材料整体弹性性能的不确定性至关重要。本文提出了一种随机多尺度有限元方法,该方法将多尺度计算均化方法与二阶摄动技术相结合,以均值的形式计算复合材料的整体弹性特性的统计量。和标准偏差。考虑与成分的材料特性相关的不确定性。通过比较有效弹性张量分量的平均值和变异系数与使用Monte Carlo模拟计算的三个数值示例的对应值来评估所提出方法的性能。结果表明,所提出的方法具有足够的精度来捕获由组成材料特性的随机性引起的复合材料的有效弹性特性的变化性。 (C)2015 Elsevier B.V.保留所有权利。

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