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Homogenization of heat transfer in fibrous composite with stochastic interface defects

机译:随机界面缺陷纤维复合材料中传热均质化

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摘要

The main aim of this work is verification how the interface defects appearing frequently in-between the fibres and the matrix affect the effective heat conductivity of fibrous composites. This analysis is provided assuming uncertainty in these defects geometry and frequency, which quite naturally induces randomness in homogenized characteristics of such a composite. Homogenization of this composite is mathematically formulated and numerically implemented using the Finite Element Method (FEM) and also using a combination of triangular and quadrilateral finite elements of the system ABAQUS (c) with linear approximating functions. Polynomial response functions relating effective conductivity with these defects parameters have been recovered using specific series of the FEM experiments and of traditional formulation of the Least Squares Method. Three different numerical techniques have been employed to determine the basic probabilistic characteristics of the effective heat conductivity - Monte-Carlo simulation, semi-analytical method and also iterative generalized stochastic perturbation technique. Numerical experiments completed assuming Gaussian uncertainties in the interface defects prove their remarkable influence on the homogenized composite. Composite computational model prepared in the system ABAQUS could be next extended towards anisotropic distribution of the fibres within the Representative Volume Element (RVE).
机译:这项工作的主要目的是验证纤维和基质之间经常出现的界面缺陷如何影响纤维复合材料的有效导热率。该分析假设这些缺陷几何形状和频率的不确定性,这非常自然地在这种复合材料的均质特性中诱导随机性。该复合材料的均匀化是使用有限元方法(FEM)的数学配方和数值方式,并使用系统ABAQUS(C)的三角形和四边形有限元的组合具有线性近似函数。使用特定系列的FEM实验和最小二乘法的传统配方,已经回收了与这些缺陷参数相关的多项式响应函数。已经采用了三种不同的数值技术来确定有效导热性的基本概率特性 - Monte-Carlo仿真,半分析方法以及迭代广义随机扰动技术。在界面缺陷中假设高斯不确定性完成的数值实验证明了它们对均质化复合材料的显着影响。可以接下来朝向代表体积元素(RVE)内的纤维的各向异性分布延伸,可以在系统中制备的复合计算模型。

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