On the performance of the joint velocity-scalar PDF method near walls

Wall modelling of turbulent reacting flows is crucial for applications such as aero-engine simulations. The velocity-scalar probability density function (PDF) method has proven effective for modelling flames in complex combustion regimes, but its application near walls is computationally expensive due to the need for wall-resolving grids, even with the aid of adaptive mesh refinement. This study aims to reduce computational cost by employing a modern wall model in large eddy simulations (LES). We demonstrate that a simple subgrid model is sufficient for a wide range of wall distances, though modification to the stochastic forcing is needed to prevent spurious pressure formation near walls. The proposed wall-modelled stochastic fields framework significantly improves upon existing methods without wall modelling. It also highlights the potential for cost savings by using wall-modelled LES-PDF. For this purpose, the Eulerian stochastic fields framework is particularly suited as it can integrate with most existing LES wall models with minimal modifications.

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Publication Details

Journal
Proceedings of the Combustion Institute
Published
2025-01-01
DOI
https://doi.org/10.1016/j.proci.2025.105838
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
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article

On the performance of the joint velocity-scalar PDF method near walls

S. Navarro-Martinez, Tin-Hang Un
Proceedings of the Combustion Institute
Computational Fluid Dynamics and Aerodynamics
article

On the performance of the joint velocity-scalar PDF method near walls

S. Navarro-Martinez, Tin-Hang Un
article en

Abstract

Wall modelling of turbulent reacting flows is crucial for applications such as aero-engine simulations. The velocity-scalar probability density function (PDF) method has proven effective for modelling flames in complex combustion regimes, but its application near walls is computationally expensive due to the need for wall-resolving grids, even with the aid of adaptive mesh refinement. This study aims to reduce computational cost by employing a modern wall model in large eddy simulations (LES). We demonstrate that a simple subgrid model is sufficient for a wide range of wall distances, though modification to the stochastic forcing is needed to prevent spurious pressure formation near walls. The proposed wall-modelled stochastic fields framework significantly improves upon existing methods without wall modelling. It also highlights the potential for cost savings by using wall-modelled LES-PDF. For this purpose, the Eulerian stochastic fields framework is particularly suited as it can integrate with most existing LES wall models with minimal modifications.

Proceedings of the Combustion InstituteVol. 41
Universidad de Zaragoza (ES), Imperial College London (GB)
Openalex Percentile: Top 72%
Computational Fluid Dynamics and Aerodynamics
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