Stochastic resonance phenomenon of shape memory alloy strip plates under main resonance

IF 2.8 3区工程技术 Q2 MECHANICS

International Journal of Non-Linear Mechanics Pub Date : 2025-01-19 DOI:10.1016/j.ijnonlinmec.2025.105020

Ying Hao , Xusu Shou , Xinmiao Yu

引用次数: 0

Abstract

This article investigates the main resonance and stochastic resonance problems of axially moving shape memory alloy strip plates under lateral loads. Adopting the Hamiltonian principle, a dynamic model of axially moving shape memory alloy strip plates under uniformly distributed loads is established. Considering the combined effect of harmonic excitation and random disturbance, a signal-to-noise ratio curve is drawn for the system. The effects of parameters such as the temperature, external excitation amplitude, and axial velocity on the main resonance response of the system are analyzed. The analysis of the example shows that for the same intensity of random disturbance, the potential barrier of the potential function is lower at the right temperatures, making the system more prone to stochastic resonance.

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来源期刊

International Journal of Non-Linear Mechanics 物理-力学

CiteScore

5.50

自引率

9.40%

发文量

192

审稿时长

67 days

期刊介绍： The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear. The journal brings together original results in non-linear problems in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas. Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.