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Numerical evaluation of the thermomechanical effective properties of a functionally graded material using the homogenization method

机译:使用均质化方法对功能梯度材料的热机械有效特性进行数值评估

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When the stresses of the functionally graded materials (FGMs) are discussed under thermal and/or mechanical loading conditions, the different thermomechanical effective properties are needed. For the steady state thermal analyses, these properties include the Young's modulus, Poisson's ratio, thermal expansion coefficient and thermal conductivity. For the transient analyses of the heat conduction problem, on the other hand, the density and heat capacity should be added to the aforementioned properties. The homogenization method (HM) based on the finite element method (FEM) is used as it has advantages, such as it is appropriate for estimating the effective properties of composites with a given periodic fiber distribution and complicated geometries. For a periodic composite structure, it is not necessary to study the whole structure but only a representative volume element (RVE) or a unit cell (UC). As the overall behavior of composites depends on the arrangement of the reinforcements, the corresponding UCs of two different arrangements of the fibers are analyzed; namely the square and hexagonal arrangements. It is found that the square arrangement predicts higher values of the Young's modulus than the hexagonal one but with small difference. In order to verify the computed values of the properties, the results are compared with previous experimental measurements and results of analytical and numerical methods, and good agreement is achieved. (C) 2008 Elsevier Ltd. All rights reserved.
机译:当讨论在热和/或机械载荷条件下功能梯度材料(FGM)的应力时,需要不同的热机械有效特性。对于稳态热分析,这些属性包括杨氏模量,泊松比,热膨胀系数和导热系数。另一方面,对于热传导问题的瞬态分析,应将密度和热容量添加到上述特性中。使用基于有限元方法(FEM)的均质化方法(HM)具有优势,例如,它适合于估计具有给定的周期性纤维分布和复杂几何形状的复合材料的有效性能。对于周期性的复合结构,不必研究整个结构,而只需研究代表性的体积元素(RVE)或单位晶胞(UC)。由于复合材料的整体性能取决于增强材料的排列方式,因此分析了两种不同排列方式的纤维的相应UC。即正方形和六角形排列。已经发现,与六角形相比,正方形排列预测的杨氏模量值更高,但相差很小。为了验证性质的计算值,将结果与先前的实验测量结果以及分析和数值方法的结果进行比较,并取得了良好的一致性。 (C)2008 Elsevier Ltd.保留所有权利。

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