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A coupled framework of variational asymptotic method based homogenization technique and Monte Carlo approach for the uncertainty and sensitivity analysis of unidirectional composites

机译:基于变分渐近法的均质化技术耦合框架和单向复合材料不确定度和敏感性分析的耦合框架

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摘要

This article describes a computational framework, based on the variational asymptotic method unit cell homogenization technique coupled with the Monte Carlo method, for carrying out uncertainty and sensitivity analysis of the effective properties of fiber reinforced plastic composites. As an application, univariate and multivariate analysis have been undertaken to investigate the influence of the constituent material properties on the effective properties of the FRP composites. Both bivariate and global sensitivity analysis results are presented to highlight the contribution of the uncertainty in the properties of the constituent materials on the uncertainty in the effective properties. Model predictions are validated by comparing the results with data reported in literature.
机译:本文介绍了基于与蒙特卡罗方法耦合的变分渐聚化方法单元均质化技术,用于对纤维增强塑料复合材料的有效性能进行不确定性和灵敏度分析的变分渐性方法单元均质化技术。作为一种应用,已经进行了单变量和多变量分析,以研究组成材料性能对FRP复合材料的有效性质的影响。提出了双方和全球敏感性分析结果,以突出不确定性在有效性质中的不确定性的构成材料性质中的贡献。通过将结果与文献中报告的数据进行比较来验证模型预测。

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