Cerfacs Enter the world of high performance ...

PhD defense of Florian RENARD – “Hybrid Lattice Boltzmann Method for Compressible Flows”

  Friday 19 March 2021 at 10h00

  Phd Thesis       Cerfacs Toulouse, administration room, visioconference    

Abstract:

In recent years, computational fluid dynamic (CFD) methods have become essential for the aeronautics industry. These methods are used in conjunction with experimental approaches. They allow, for example, to have a precise understanding of a flow in order to help the design of aircraft components. Thus, these methods are constantly being improved to accurately reproduce the physics of simulated flows. Thanks to its reduced computational cost, its ease of implementation and use, the lattice Boltzmann method (LBM) has gradually emerged as an alternative approach to traditional numerical methods. In addition to its efficiency, this method has the advantages of being inherently unsteady and is perfectly adapted to complex geometries. Unfortunately, in its standard form, it remains limited to the simulation of isothermal and weakly compressible flows, which excludes many aeronautical applications. Nevertheless, compressible versions of this method do exist. Among the most promising ones, one can find the Hybrid method (HLBM) which uses the LBM to compute the mass and momentum equations and a finite difference scheme to computed the energy equation. This thesis focuses on the development and study of hybrid methods for the simulation of compressible flows. First, the standard LBM and its limitations are presented as well as an exhaustive bibliographical study of its compressible versions. Then, the components and general functioning of the hybrid method are shown. A simple model is developed under the Boussinesq approximation and successfully tested. However, its naive extension to the compressible equations is found to be numerically unstable due to: (1) the perfect gas coupling, and (2) the unstable nature of the LBM at high Mach numbers. These two problems are then solved by adopting a more robust collision operator for the LBM part and an entropy equation for the energy part. A stable compressible hybrid model, based on a standard D2Q9 discrete velocity lattice, is thus obtained and validated on subsonic and supersonic test cases including shock waves. Nevertheless, for the simulation of strong shock waves, the model shows conservativity problems. These are mainly attributed to the use of the entropy equation which is non-conservative. Solutions are then proposed. Then, the stability and spectral properties of HLBM schemes are studied using the von Neumann approach. This study highlights the effect of numerous parameters on numerical stability such as the collision model, the choice of the energy equation or the influence of numerical parameters like the CFL number. Instability mechanisms and stabilization methods are shown, confirming at the same time the gain in terms of stability of models based on an entropy equation. Moreover, thanks to a more in-depth analysis, this study allows to explain the observed non-physical behavior of certain models and attributes them to mode transfers.   Finally, the hybrid method is implemented in the ProLB industrial LBM solver. It is then tested on subsonic and supersonic three-dimensional compressible test cases containing boundary conditions and mesh refinements.

Keywords: LBM, compressible, hybrid, von Neumann analysis

Jonas LATT Université de Genève (Switzeland) Referee
Paola CINNELLA Sorbonne Université (France) Referee
Rémi ABGRALL Université de Zurich (Suisse) Member
Alois SENGISSEN Airbus Toulouse (France) Invited member
Romain PAIN Safran Tech (France) Invited member
Pierre SAGAUT Aix-Marseille Université (France) Advisor
Jean-François BOUSSUGE CERFACS Toulouse (France) Co-advisor

CALENDAR

Monday

22

April

2024

Numerical methods for Large Eddy Simulation using AVBP

From Monday 22 April 2024 to Friday 26 April 2024

  Training    

Monday

29

April

2024

Code coupling using CWIPI

Monday 29 April 2024

  Training    

Monday

13

May

2024

Implementation and use of Lattice Boltzmann Method

Monday 13 May 2024

  Training    

ALL EVENTS