Modeling vibration behavior of embedded graphene-oxide powder-reinforced nanocomposite plates in thermal environment

Modeling vibration behavior of embedded graphene-oxide powder-reinforced nanocomposite plates in thermal environment
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DOI:
10.1080/15397734.2019.1660185
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发表时间:
2020-03
影响因子:
3.9
通讯作者:
F. Ebrahimi;Mostafa Nouraei;A. Dabbagh
F. Ebrahimi;Mostafa Nouraei;A. Dabbagh
中科院分区:
工程技术3区
文献类型:
--
作者:
F. Ebrahimi;Mostafa Nouraei;A. Dabbagh

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摘要本文研究了石墨烯-氧化物粉末增强(GOPR)纳米复合板在粘弹性衬底上埋入后的热振动分析。结构承受不同的温升,如正弦温升、线性温升和均匀温升。基于固有频率的变化,研究了Gopr纳米复合板的阻尼性。比较考虑了GOPS分布的四种功能梯度(FG)模式,找出了加固结构的最佳模式。材料的均化是基于Halpin-Tsai的微机械方案进行的。将精化高阶剪切变形理论与哈密顿原理相结合,得到了运动的控制方程。该模型的准确性与公开文献中报道的结果进行了验证。最后,基于粘弹性衬底的阻尼系数,研究了不同参数对嵌入型Gopr纳米复合板固有频率的影响。图形结果表明,这些参数的变化对结构的自由振动行为有显著影响。
Abstract This article deals with the thermal vibration analysis of the graphene-oxide powder-reinforced (GOPR) nanocomposite plates, once the plate is embedded on the viscoelastic substrate. The structure is subjected to thermal loadings with various temperature rises such as sinusoidal temperature rise (STR), linear temperature rise (LTR), and uniform temperature rise (UTR). Damping behavior of the GOPR nanocomposite plates is investigated based on the variations of the natural frequencies. Four functionally graded (FG) patterns of GOPs’ distribution are taken into account comparatively in order to find out the best model of reinforcing the structure. The homogenization of the materials is carried based on the Halpin-Tsai micromechanical scheme. The governing equations of the motion have been derived through the combination of refined higher-order shear deformation theory and Hamilton’s principle. The accuracy of this modeling is validated with those reported in the open literature. Finally, the influences of different parameters on the natural frequencies of the embedded GOPR nanocomposite plates are investigated based on the damping coefficient of the viscoelastic substrate. The graphical results reveal that the free vibrational behavior of the structure is remarkably affected by the variations of these parameters.