梁模型对动荷载作用下有碴铁路轨道动力响应的影响

IF 2.2 3区 工程技术 Q2 MECHANICS
Le-Hung Tran, Thi-Thu-Ha Do, Khuong Le-Nguyen
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引用次数: 1

摘要

本文提出了有碴铁路轨道动力学模型的发展,将两种模型相结合:钢轨周期支承梁模型和轨枕粘弹性基础梁模型。在这种发展中,两种梁理论可以用来描述梁的动力行为:Euler-Bernoulli和Timoshenko。在稳态条件下,建立了支承反力与钢轨位移的频域关系。换句话说,这两个变量是通过格林函数联系起来的。通过上述两种分析,得到了钢轨的动力响应在频域上的解析表达式。数值算例显示了钢轨和轨枕梁模型对动力响应的影响。这一工作为计算轨道动力响应提供了解析选择,其中轨道和轨枕可以用两种梁理论来描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Influence of beam models on dynamic responses of ballasted railway track subjected to moving loads

Influence of beam models on dynamic responses of ballasted railway track subjected to moving loads

This research presents a development of the dynamical model for ballasted railway tracks by combining two models: a periodically supported beam model for the rail and model of beam posed on a viscoelastic foundation for the sleeper. In this development, two beam theories can be used to describe the dynamic behavior of beam: Euler–Bernoulli and Timoshenko. In steady-state condition, a relation between the reaction force applied on the support and displacement of rail is established in the frequency domain. In the other way, these two variables are linked with the help of Green’s function for the sleeper. By performing the two previous analyses, the dynamic responses of rails are obtained analytically in the frequency domain. The numerical examples show the influence of beam models for the rails and sleeper on the dynamic responses. This work provides analytical choices to calculate the dynamic track responses where the rails and sleeper can be described by the two beam theories.

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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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