An enrichment wall modeling framework for spectral element methods
- Stanford Univ., CA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Stanford Univ., CA (United States)
In the present work, a first-of-its-kind enrichment wall-model is developed within the spectral element method (SEM) framework for large-eddy simulations (LES) of wall-bounded turbulent flows. The method augments the polynomial solution in the wall-adjacent elements with an analytical law-of-the-wall enrichment function representing the mean velocity near the wall. In the solution representation, this enrichment function captures the large gradients in the boundary layer, which allows the polynomial modes to represent the turbulent fluctuations. The enriched solution is able to resolve the shear stress at the wall without any modification to the no-slip wall boundary conditions, which allows for greater accuracy in the near-wall region compared to traditional methods. The enrichment wall modeling approach is implemented in a high-order SEM computational fluid dynamics solver, Nek5000, and its performance is assessed in turbulent channel flow wall-modeled LES for a range of Reynolds numbers. It is demonstrated that the enrichment wall-model improves solution accuracy on under-resolved near-wall grids as compared to traditional shear stress wall-models.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-06CH11357; AC52-07NA27344; EE0008875
- OSTI ID:
- 2481649
- Report Number(s):
- LLNL-JRNL--860809; 1092311
- Journal Information:
- Physics of Fluids, Journal Name: Physics of Fluids Journal Issue: 12 Vol. 36; ISSN 1070-6631
- Publisher:
- American Institute of Physics (AIP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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