Features of Propagation of the SV-Polarized Normal Waves in the Composite Materials Made of Carbon Fiber

N. P. Aleshin, A. Deryabin, N. A. Shchipakov, D. Kozlov
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Abstract

Based on analyzing results of the existing works, the paper demonstrates that the method of simulating motion of the SV-polarized normal waves using the classical theory of deformation appears promising in simulating their propagation in the layered polymer composite materials, as well as in studying the effect of discontinuities in such materials on the considered waves’ parameters. A model was created to analyze specifics of the described waves’ propagation in the polymer composite materials based on the carbon fiber. Formulas were obtained to calculate the amplitude coefficients for the motion equations to take into account acoustic characteristics of the polymer composite material layers and make it possible to calculate the displacement components or the energy distribution at any point in the layered medium. Phase velocity values were determined, and dispersion curves were constructed for various modes of the SV-polarized normal waves. Influence of the material layered structure on attenuation of those waves was considered, and the principle of correcting the formulas for calculating the attenuation coefficients taking into account the number of layers and their acoustic properties was outlined. Phase velocity values of the SV-polarized normal waves was experimentally verified on the sample of polymer composite materials confirming correctness of the simulation approaches
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sv偏振法向波在碳纤维复合材料中的传播特性
在分析已有研究成果的基础上,本文论证了利用经典变形理论模拟sv极化法向波运动的方法,对于模拟sv极化法向波在层状聚合物复合材料中的传播,以及研究这种材料中的不连续面对所考虑波参数的影响是有前景的。建立了一个模型来分析所述波在基于碳纤维的聚合物复合材料中的传播特性。得到了考虑聚合物复合材料层声特性的运动方程振幅系数的计算公式,从而可以计算层状介质中任意点的位移分量或能量分布。确定了sv偏振法向波的相速度值,并构造了不同模式的色散曲线。考虑了材料层状结构对这些波衰减的影响,提出了考虑层数和声学特性的衰减系数计算公式的修正原则。在聚合物复合材料样品上实验验证了sv极化法向波的相速度值,验证了模拟方法的正确性
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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