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A hybrid finite element-analytical method for determining the intrinsic elastic moduli of particles having moderately extended shapes and a wide range of elastic properties

机译:一种混合有限元分析方法,用于确定形状适度扩展且弹性范围广的粒子的固有弹性模量

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The presence of a low (dilute) concentration of particiulate inclusions having any shape and any property mismatch with the matrix in which they are placed, influences the elasticity of the resulting composite material. This influence is via the intrinsic moduli, which characterize the firstorder term in an expansion of the effective properties in terms of the volume fraction of inclusions. The intrinsic moduli have only been solved exactly for general property mismatch in the case of ellipsoidal particles, and are analytically intractable for more general geometries. The problem of computing intrinsic elastic moduli for general geometries is approached by combining exact information that is known from analytical theory with numerical finite element computations to obtain an approximate analytical description of the intrinsic bulk (K) and shear (G) moduli of the particles as a function of shape and matrix and inclusion elastic properties. The approximant analytical equations are developed for a wide range of isotropic elastic property (K, G, and Poisson's ratio) mismatch with the matrix and a modest range in shape, so that these approximants should be useful in characterizing property changes in real composite materials (e.g., concrete and polymer nanocomposites) to which a dilute concentration of particles have been added. Particular emphasis is given in this initial study to particles having a rectangular parallelepiped shape.
机译:低(稀)浓度的颗粒状夹杂物的存在会影响所得复合材料的弹性,其中颗粒状夹杂物的形状和性质与所放置的基质不匹配。这种影响是通过固有模量来实现的,该固有模量以夹杂物的体积分数表示有效性质的扩展来表征一阶项。对于椭圆形粒子,本征模仅能针对一般性质不匹配进行精确求解,而对于更一般的几何形状则很难解析。通过将解析理论中已知的精确信息与数值有限元计算相结合,获得了用于一般几何体的固有弹性模量的问题,从而获得了颗粒的固有体积模量(K)和剪切模量(G)的近似解析描述。形状和基质以及夹杂物弹性特性的函数。近似分析方程式是针对与基质不同的各向同性弹性特性(K,G和泊松比)不匹配以及形状的适度范围而开发的,因此这些近似值应有助于表征实际复合材料的特性变化( (例如,混凝土和聚合物纳米复合材料),其中已添加了稀浓度的颗粒。在此初始研究中,特别强调具有长方体形状的颗粒。

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