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首页> 外文期刊>Journal of the Mechanics and Physics of Solids >Micromechaflics-based variational estimates for a higher-order nonlocal constitutive equation and optimal choice of effective moduli for elastic composites
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Micromechaflics-based variational estimates for a higher-order nonlocal constitutive equation and optimal choice of effective moduli for elastic composites

机译:基于微机电的高阶非局部本构方程的变分估计和弹性复合材料有效模量的最佳选择

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A generalization of the Hashin--Shtrikman variational formulation to random composites, due to J.R. Willis, is employed to derive micromechanics--based variational estimates for a higher-order nonlocal constitutive equation relating the ensemble averages of stress and strain, for a class of random linear elastic composite materials. We analyze two-phase composites with any isotropic and statistically uniform distribution of phases (which themselves may have arbitrary shape and anisotropy), within a formulation accounting for one- and two-point probabilities, and derive an explicit nonlocal constitutive equation that includes terms up through the fourth gradient of average strain. The analysis is carried out first for an arbitrary comparison medium. Then, a new approach is outlined and applied which employs the nonlocal correction to determine the optimal choice of comparison medium, and hence the optimal effective modulus tensor (as welI as the optimal tensor coefficients of the nonlocal terms) for the amount of statistical information employed. The new higher order analysis provides a highly accurate nonlocal constitutive equation, valid down to quite small volume size scales and to rather strong variations of average strain with position. Among several applications illustrated, it permits accurate analytical assessment of the remarkably small predictions derived by Drugan and Willis (l996.
机译:由于JR Willis的影响,将Hashin-Shtrikman变分公式推广到随机复合材料,以得出基于微力学的变分估计,该变量估计是与应力和应变整体平均值相关的一类高阶非局部本构方程的。无规线性弹性复合材料。我们在考虑一点和两点概率的公式内分析具有各向同性和统计上均匀分布的相的两相复合材料(它们本身可能具有任意形状和各向异性),并得出包含项的显式非局部本构方程通过平均应变的第四梯度。首先对任意比较介质进行分析。然后,概述并应用一种新方法,该方法将采用非局部校正来确定比较介质的最佳选择,从而确定所采用统计信息量的最佳有效模量张量(与非局部项的最佳张量系数一样)。 。新的高阶分析提供了一个高度精确的非局部本构方程,在很小的体积尺寸范围内以及在平均应变随位置变化很大的情况下仍然有效。在所示的几个应用中,它允许对Drugan和Willis得出的非常小的预测进行准确的分析评估(1996。

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