Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium

RWTH Publications (RWTH Aachen)

Abstract

In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation gathers all relevant thermodynamic states and the corresponding gas properties via a given model. The states are embedded in a low-dimensional space and clustered to identify regions with different levels of thermochemical (non)-equilibrium. Then, a surrogate surface from the reduced cluster-space to the output space is generated using radial-basis-function networks. The method is validated and benchmarked on a simulation of a hypersonic flat-plate boundary layer with finite-rate chemistry. The gas properties of the reactive air mixture are initially modeled using the open-source Mutation++ library. Substituting Mutation++ with the light-weight, machine-learned alternative improves the performance of the solver by 50% while maintaining overall accuracy.

Authors 5

1. Clément Scherding

   Sorbonne Université · Institut Jean Le Rond d'Alembert · Institut des Sciences du Calcul et des Données

   Affiliation as printed

   Institut Jean le Rond d'Alembert , Sorbonne University , France

   ISCD - Institut des Sciences du Calcul et des Données (Sorbonne-Université, Campus Jussieu 4 Place Jussieu, 75005 Paris - France)

2. Georgios Rigas

   Imperial College London

   Affiliation as printed

   Department of Aeronautics , Imperial College London , UK

   Imperial College London (South Kensington Campus, London SW7 2AZ - United Kingdom)

3. Denis Sipp

   Université Paris-Saclay · Office National d'Études et de Recherches Aérospatiales

   Affiliation as printed

   DAAA , Onera , France

   DAAA, ONERA, Université Paris Saclay [Meudon] (F-92190 Meudon - France)

4. Peter J. Schmid

   Imperial College London · King Abdullah University of Science and Technology

   Affiliation as printed

   Department of Mechanical Engineering , KAUST , SA

   Department of Mathematics [Imperial College London] (Imperial College London, 180 Queen's Gate, London SW7 2AZ, United Kingdom - United Kingdom)

5. Taraneh Sayadi Aachen Institute for Combustion Technology

   Sorbonne Université · Institut Jean Le Rond d'Alembert · RWTH Aachen University

   Affiliation as printed

   Institut Jean le Rond d'Alembert , Sorbonne University , France

   Institute for Combustion Technology , Aachen University , Germany

   DALEMBERT - Institut Jean Le Rond d'Alembert (Boite 162 4 place Jussieu 75005 Paris - France)