A dynamic study of a bead sliding on a wire in fractal space with the non-perturbative technique

IF 2.2 3区 工程技术 Q2 MECHANICS
Yusry O. El-Dib
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引用次数: 0

Abstract

Drawing on the principles of fractal properties and nonlinear vibration analysis, this paper delves into the investigation of a moving bead on a vertically rotated parabola. The dynamical nonlinear equation of motion, incorporating fractal derivatives, transforms traditional derivatives within continuous space. Consequently, the equation of motion takes the form of the Duffing-Van der Pol oscillator. Utilizing a non-perturbative approach, the nonlinear oscillator is systematically transformed into a linear one, boasting an exact solution. The analytical solution yields two valid formulas governing the frequency-amplitude relationships. Numerical solutions affirm that these proposed formulas offer highly satisfactory approximations to the analytical solution. Leveraging fractal properties through Galerkin’s method, the paper successfully determines the fractalness parameter of the medium, shedding light on the intricate dynamics of the system.

Abstract Image

用非微扰技术对分形空间中珠子在导线上滑动的动态研究
本文借鉴分形特性和非线性振动分析的原理,深入研究了垂直旋转抛物线上的移动珠子。包含分形导数的动态非线性运动方程在连续空间内转换了传统导数。因此,运动方程采用了达芬-范德波尔振荡器的形式。利用非微扰方法,非线性振荡器被系统地转化为线性振荡器,并获得了精确解。解析解产生了两个有效的频率-振幅关系式。数值解证实,这些公式提供了非常令人满意的近似分析解。本文通过伽勒金方法利用分形特性,成功确定了介质的分形度参数,揭示了系统错综复杂的动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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