The nonlinear post-buckling behavior of FG cylindrical copper shell reinforced with carbon nanotubes with a polymer core

IF 2.2 3区 工程技术 Q2 MECHANICS
Masoud Ajri
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引用次数: 0

Abstract

This research analyzes the buckling and post-buckling behavior of composite cylindrical shells with a polymer core and carbon nanotube-reinforced inner and outer copper layers with functional distribution under axial compressive loading. For this purpose, the differential equations governing the nonlinear buckling behavior of these shells were extracted while considering large deformations. Employing the Ritz energy method and considering the Airy function, analytical relations for the buckling load and the critical stress of the structure are extracted. In the following, considering different distributions, the equivalent mechanical properties of the composite structure have been calculated using the law of mixtures. Finally, the effect of different parameters, such as distribution types and volume fraction of nanotubes, on nonlinear buckling loads and post-buckling behavior of these materials is investigated. Results show that increasing the volume fraction of carbon nanotubes reduces the change in the critical length of the cylindrical shell, which happens as a result of increasing Young's modulus and the equivalent stiffness of the shell.

碳纳米管增强具有聚合物芯的FG圆柱铜壳的非线性后屈曲行为
本研究分析了具有功能分布的聚合物芯和碳纳米管增强内外铜层复合材料圆柱壳在轴向压缩载荷作用下的屈曲和后屈曲行为。为此,在考虑大变形的情况下,提取了控制这些壳的非线性屈曲行为的微分方程。采用里兹能量法,考虑Airy函数,导出了结构屈曲载荷与临界应力的解析关系。下面,考虑不同的分布,利用混合定律计算复合材料结构的等效力学性能。最后,研究了纳米管的分布类型和体积分数等不同参数对材料非线性屈曲载荷和后屈曲行为的影响。结果表明,碳纳米管体积分数的增加减小了柱壳临界长度的变化,这是由于壳的杨氏模量和等效刚度的增加而引起的。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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