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Civil-Comp Conferences
ISSN 2753-3239 CCC: 10
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 7.1
Modeling Aeroelastic Phenomena via Stochastic Resonance in Nonlinear Bistable Oscillators J. Náprstek and C. Fischer
Institute of Theoretical and Applied Mechanics, Czech Academy of Sciences, Prague, Czech Republic Full Bibliographic Reference for this paper
J. Náprstek, C. Fischer, "Modeling Aeroelastic Phenomena via Stochastic Resonance in Nonlinear Bistable Oscillators", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on
Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 10, Paper 7.1, 2025,
Keywords: stochastic resonance, aeroelasticity, Fokker-Planck equation, Duffing oscillator, numerical simulation, semi-analytical methods.
Abstract
Stochastic resonance is a phenomenon where noise enhances a nonlinear system’s ability to respond to weak periodic excitation. This effect is particularly relevant in bistable systems encountered in post-critical aeroelastic conditions, where purely deterministic models fail to capture observed transitions under unsteady aerodynamic loading. This study explores stochastic resonance in a nonlinear Duffing-type oscillator driven by harmonic forcing and additive white noise, representing a reduced model of a prismatic beam in crossflow, inspired by wind tunnel tests on bridge-like structures.
The paper complements a previously developed approximative framework for analysis of the Fokker–Planck equation, which employs a periodic expansion linked with the method of stochastic moments. This approach provides a detailed and structured view of the evolving probability density, offering greater interpretability than standard black-box finite element methods, which are also used for comparison. The results are examined in detail against a FEM benchmark, and potential directions for improving the method—particularly with respect to transient accuracy and numerical stability—are outlined.
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