Fluid-induced deformation of elastic plate mounted vertically in viscous flow and oscillation frequency prediction using artificial neural networks

Document Type

Article

Publication Title

Ocean Engineering

Abstract

In this paper, a vertically held thin elastic plate subjected to viscous fluid flow and undergoing flow-induced deformation is examined. Two-dimensional numerical simulations are carried out at low Reynolds number, Re = 100. The simulations are performed using an in-house fluid structure interaction code that combines the sharp-interface immersed boundary (IB) fluid solver with the finite-element method structural solver. The fluid solver and the structural solver are being coupled using the partitioned approach. The system's dynamic behaviour is investigated by considering the effect of parameters such as mass ratio (M) and bending rigidity (Kb). When the plate undergoes deformation, the amplitude and frequency response for different reduced velocity (Ur) are obtained. We observe six distinct regions. The first is Low Amplitude region (LA) (Ur=0to1.0), second is Initial branch (IB) (Ur=1.0to2.5), the third is Intermediate region (I) (Ur=2.5to3.0), the fourth is Upper Branch (UB) (Ur=3.0to4.6), the fifth is Bi-stable region (BS) (Ur=4.6to6.0) and finally we have Lower Branch (LB) (Ur=6.0to8.0). Further we observe synchronization of vortex shedding frequency (fv) with structural frequency (fs) at Ur=3.0 with first mode of natural frequency (fn1) being the dominant frequency. In order to understand the dynamics of flow-induced deformation of vertical mounted elastic plates in viscous fluid flow we have analysed the amplitude, frequency and displacement response of structure and corresponding behavior of the fluid owing to the complexity of computationally modelling such interactions. An Artificial Neural Network machine learning model is also used to predict the plate oscillation frequency. The study further emphasizes the importance of using machine learning based prediction models to reduce computational expense.

DOI

10.1016/j.oceaneng.2024.116920

Publication Date

3-15-2024

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