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Elastic Wave Characteristics of Graphene Reinforced Polymer Nanocomposite Curved Beams Including Thickness Stretching Effect

机译:石墨烯增强聚合物纳米复合材料弯光梁的弹性波特性包括厚度拉伸效果

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摘要

This work aims at analyzing elastic wave characteristics in a polymeric nanocomposite curved beam reinforced by graphene nanoplatelets (GNPs). GNPs are adopted as a nanofiller inside the matrix to enhance the effective properties, which are approximated through Halpin-Tasi model and a modified rule of mixture. A higher-order shear deformation theory accounting for thickness stretching and the general strain gradient model to have both nonlocality and strain gradient size-dependency phenomena are adopted to model the nanobeam. A virtual work of Hamilton statement is utilized to get the governing motion equations and is solved in conjunction with the harmonic solution procedure. A comparative study shows the effects of small-scale coefficients, opening angle, weight fraction, the total number of layers in GNPs, and wave numbers on the propagation of waves in reinforced nanocomposite curved beams. This work is also developed for two different distribution of GNPs in a polymeric matrix, namely uniformly distribution and functionally graded one.
机译:该作品旨在分析由石墨烯纳米纳薄(GNPS)加强的聚合物纳米复合曲线中的弹性波特性。 GNP被用作基质内的纳米填充物,以增强通过Halpin-Tasi模型的有效性质和近似的混合物。采用高阶剪切变形理论核算厚度拉伸和一般应变梯度模型,以具有非植物和应变梯度尺寸依赖性现象来模拟纳米辐射。利用汉密尔顿语句的虚拟工作来获得管理运动方程,并与谐波解决方案程序一起解决。比较研究显示了小规模系数,开口角度,重量分数,GNP中的层总数,以及增强纳米复合型弯曲梁的波浪中的波数的影响。该作品也在聚合物基质中为两种不同的GNP分布开发,即均匀分布和功能梯度。

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