Quasi-Harmonic Bending Waves Evolution in a Beam Lying on the Generalized Nonlinear-Elastic Foundation and Possibility of their Transformation into a Sequence of Wave Packets

Q3 Mathematics
V. Erofeev, A. Morozov, I. S. Tsarev
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引用次数: 0

Abstract

The paper considers dynamic behavior of a track structure, which is a beam performing bending vibrations and lying on the elastic foundation. In this case, a generalized base model is selected that contains two independent bed coefficients: stiffness for tensile (compressive) and shear deformations. Such a model takes into account the soil distributive ability, i.e., its property to settle not only under the loaded area and the foundation, but also in its vicinity. In addition,to describe the foundation stiffness nonlinear properties, the model assumed dependence on the transverse midline beam and its gradient displacement. Results analysis of the wave processes in the beam showed that, since bending waves had strong dispersion, solution to the problem in the presence of weak nonlinearity was close to solution of a linear problem, and it could be represented as a set of quasi-harmonics. Using the Lighthill criterion, conditions modulation instability manifestation (self-modulation) of the quasi-harmonic waves, which led to their spatial localization and division into separate wave packets, were studied. Analytical expressions were found that described the wave packets shapes. Dependences connecting the amplitude and the wave packet width with the elastic foundation rigidity were analyzed
广义非线性弹性基础梁中的准谐波弯曲波演化及其转化为波包序列的可能性
本文研究了轨道结构的动力特性,轨道结构是一种位于弹性基础上的弯曲振动梁。在这种情况下,选择一个广义的基本模型,它包含两个独立的床系数:拉伸(压缩)和剪切变形的刚度。该模型考虑了土体的分布能力,即土体不仅在荷载区和基础下沉降,而且在其附近沉降。此外,为了描述基础刚度的非线性特性,该模型假定了与横向中线梁及其梯度位移的依赖关系。结果表明,由于弯曲波具有强色散,弱非线性问题的解接近于线性问题的解,可以表示为一组拟谐波。利用Lighthill准则,研究了准谐波的调制不稳定表现(自调制)导致其空间局域化和分裂成独立波包的条件。找到了描述波包形状的解析表达式。分析了振幅和波包宽度与弹性基础刚度的关系
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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