Pan Lan
(, ), Zhouchao Wei
(, ), Tomasz Kapitaniak, Wei Zhang
(, )
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引用次数: 0
Abstract
This paper investigates the dynamics of a railway wheelset system subjected to random excitation and governed by a displacement delay feedback controller. Initially, the delay component of the wheelset system was estimated utilizing standard form theory and center manifold theory. Subsequently, the differential equation characterizing the stochastic wheelset system was reformulated into a form that incorporates both amplitude and phase, employing the random averaging technique. The local stability of the wheelset system was subsequently assessed using the Lyapunov exponent method, while global stability was evaluated through singular boundary theory. Additionally, the random bifurcation characteristics of the wheelset system were examined using probability density function diagrams. Ultimately, numerical simulations were performed to analyze the influence of velocity and delay on the stochastic dynamics of the wheelset system, and the theoretical results were validated.
期刊介绍:
Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences.
Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences.
In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest.
Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics