节点柔度对自由-自由梁屈曲分析的影响

IF 2.4 Q2 ENGINEERING, MECHANICAL

Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI:10.1515/nleng-2022-0274

D. V. Ramana Reddy, K. T. Balaram Padal, Jagadish Babu Gunda

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引用次数: 0

摘要

摘要本文将两节点梁有限元方法应用于具有柔性节点问题的梁的振动分析中，进一步扩展到研究自由-自由梁在面内压缩载荷作用下的屈曲行为。关节建模为旋转弹簧，其中旋转弹簧的刚度决定了柔性关节的行为。简要介绍了自由-自由梁前五次无量纲屈曲载荷随节点位置和节点刚度参数的变化规律。节点的松动程度对自由-自由梁的屈曲行为有显著影响，对准确确定受面内压缩载荷作用的连接梁的屈曲行为起着重要作用。

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Influence of joint flexibility on buckling analysis of free–free beams

Abstract In this work, an application of two noded beam finite element methodology, which is demonstrated in the previous research work for vibration analysis of beam with a flexible joint problem, has been further extended here to investigate the buckling behaviour of free–free beam subjected to an in-plane compressive load. Joint is modelled as rotational spring, where the rotational spring stiffness governs the behaviour of the flexible joint. Variation of first five non-dimensional buckling loads of free–free beam with reference to the joint location as well as joint stiffness parameters are briefly presented. It is understood that looseness of the joint can significantly influence the buckling behaviour of free–free beam and plays an important role in accurately determining the buckling behaviour of jointed beams subjected to an in-plane compressive loads.

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来源期刊

Nonlinear Engineering - Modeling and Application Multiple-

CiteScore

6.20

自引率

3.60%

发文量

审稿时长

44 weeks

期刊介绍： The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.