可剪切变形复合层压板的闭式后屈曲分析

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2024-11-29 DOI:10.1007/s00419-024-02720-4
Jakob C. Schilling, Christian Mittelstedt
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引用次数: 0

摘要

本文介绍了一种闭式分析方法,用于对单轴向压缩下的简支撑剪切变形复合层压板进行后屈曲分析。该分析基于三种不同的层压板理论,以明确考虑横向剪切变形,并结合 Ritz 方法使用几何非线性公式,以实现屈曲复合板状态变量的闭式分析表达式。该方法给出了几种不同板材配置的结果,并与文献结果和有限元计算结果进行了比较,结果精度非常令人满意。所介绍的分析方法无需大量的数值计算即可得出结果,因此特别适用于需要多次进行此类屈曲后分析的实际应用。
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Closed-form postbuckling analysis of shear-deformable composite laminated panels

This paper introduces a closed-form analytical approach to the postbuckling analysis of simply supported shear-deformable composite laminated plates under uniaxial compression. The analysis is based on three different laminate theories in order to explicitly account for transverse shear deformations and uses a geometrically nonlinear formulation in conjunction with the Ritz method in order to enable closed-form analytical expressions for the state variables of buckled composite plates. Results are presented for several different plate configurations, and a comparison is performed with literature results as well as comparative finite element computations which leads to a very satisfying results accuracy. The presented analysis method delivers results without any significant numerical effort and is thus especially suited for practical applications where such postbuckling analyses are performed many times.

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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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