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Civil-Comp Conferences
ISSN 2753-3239
CCC: 9
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 8.4

Combined Random and Deterministic Effects in a Simple Aeroelastic Model

C. Fischer and J. Náprstek

Institute of Theoretical and Applied Mechanics, Czech Academy of Sciences, Prague, Czech Republic

Full Bibliographic Reference for this paper
C. Fischer, J. Náprstek, "Combined Random and Deterministic Effects in a Simple Aeroelastic Model", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 8.4, 2024, doi:10.4203/ccc.9.8.4
Keywords: Fokker-Planck equation, stochastic averaging, Galerkin approximation, numerical solution, van der Pol type oscillator, partial amplitudes.

Abstract
The response of slender engineered structures in close proximity to the lock-in frequency region exhibits multiple dominant frequencies that contribute to the quasi-periodic nature of the response. The difference in individual dominant frequencies increases significantly with increasing distance from the lock-in region. This effect alters the character of the response from apparently non-stationary to quasi-periodic, with the frequency of beating varying as the distance from the locking interval changes. In the presence of combined random and harmonic excitation, the response character varies between stationary, cyclo-stationary, and non-stationary, depending on the intensity of the stochastic component. While the probabilistic characteristics of a non-linear Single Degree of Freedom oscillator of the van der Pol type system on a slow time scale can be described using partial amplitudes of the response, this paper specifically focuses on the non-stationary case. The solution to the Fokker-Planck equation for the cross-Probability Density Function of the partial amplitudes is determined using the Galerkin approximation. For this purpose, orthogonal polynomial basis functions %and the exponential-polynomial-closure method are utilized and assessed.

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