Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics

2022/12/20 by Niccolò Tonicello, Tonicello, Niccolò, Andrea Lario +5
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Computational Fluid Dynamics and Aerodynamics #Fluid Dynamics and Vibration Analysis

paper · pdf · doi:10.48550/arxiv.2212.10198

Abstract

The present works is focused on studying bifurcating solutions in compressible fluid dynamics. On one side, the physics of the problem is thoroughly investigated using high-fidelity simulations of the compressible Navier-Stokes equations discretised with the Discontinuous Galerkin method. On the other side, from a numerical modelling point of view, two different non-intrusive reduced order modelling techniques are employed to predict the overall behaviour of the bifurcation. Both approaches showed good agreement with full-order simulations even in proximity of the bifurcating points where the solution is particularly non-smooth.

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