非局部Timoshenko梁的有效半解析屈曲分析

IF 2.5 3区 工程技术 Q2 MECHANICS
Ayşegül Tepe
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引用次数: 0

摘要

本文采用Eringen的非局部弹性理论,提出了一种分析非局部Timoshenko梁屈曲行为的半解析方法。该方法将初始值法(IVM)与分段近似传递矩阵法(ATM)相结合,实现了各种边界条件下临界屈曲载荷的精确、高效计算。IVM计算初始条件下的位移和应力结果,而ATM通过分段积分构建IVM所需的主矩阵,确保数值稳定性。IVM-ATM框架为传统的解析和数值方法提供了一种实用的替代方法,特别是对于尺寸相关的问题。结果与已有解吻合良好,验证了该方法的准确性。详细的收敛性分析进一步证明了该方法的准确性。参数化研究强调了长径比、非局部参数和边界条件对屈曲行为的影响。该方法为研究纳米尺度梁结构提供了一种可靠、高效的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Buckling analysis of nonlocal Timoshenko beams via an efficient semi-analytical approach

This study presents a semi-analytical method for analyzing the buckling behavior of nonlocal Timoshenko beams using Eringen’s nonlocal elasticity theory. The method combines the initial value method (IVM) with a segment-wise approximate transfer matrix (ATM) approach, enabling accurate and efficient computation of critical buckling loads under various boundary conditions. The IVM calculates displacements and stress resultants from initial conditions, while the ATM constructs the principal matrix required by the IVM through segment-wise integration, ensuring numerical stability. The IVM–ATM framework offers a practical alternative to traditional analytical and numerical methods, especially for size-dependent problems. The results show excellent agreement with existing solutions, validating the method’s accuracy. The method’s accuracy is further supported by detailed convergence analyses. Parametric studies highlight the effects of length-to-diameter ratio, nonlocal parameter, and boundary conditions on buckling behavior. The proposed method provides a reliable and efficient tool for nanoscale beam structures.

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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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