Engineering Mechanics

Proceedings Vol. 29 (2023)

ENGINEERING MECHANICS 2023

Copyright © 2023 Institute of Thermomechanics of the Czech Academy of Sciences, Prague

 

Bublík O., Heidler V., Pecka A., Vimmr J.
pages 47 - 50, full text

The focus of this paper is to use a convolutional neural network to predict the unsteady laminar flow field in 2D domains, specifically as it relates to vortex induced vibration. In this scenario, an incompressible fluid is flowing around a cylinder, creating a vortex street that leads to oscillation of the cylinder. The movement of the cylinder, which has only one degree of freedom, is modeled using a linear spring-mass-damper equation. The research examines the cylinder’s amplitude response for different spring stiffnesses and damping coefficients, and compares the results to those obtained from FSI computational fluid dynamics simulations.

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All papers were reviewed by members of the scientific committee.