On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows
On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows
High-speed compressible turbulent flows typically contain discontinuities and have been widely modeled using Weighted Essentially Non-Oscillatory (WENO) schemes due to their high-order accuracy and sharp shock capturing capability. However, such schemes may damp the small scales of turbulence and result in inaccurate solutions in the context of turbulence-resolving simulations. In this connection, the recently developed Targeted Essentially Non-Oscillatory (TENO) schemes, including adaptive variants, may offer significant improvements. The present study aims to quantify the potential of these new schemes for a fully turbulent supersonic flow. Specifically, DNS of a compressible turbulent channel flow with M = 1.5 and Re
τ = 222 is conducted using OpenSBLI, a high-order finite difference computational fluid dynamics framework. This flow configuration is chosen to decouple the effect of flow discontinuities and turbulence and focus on the capability of the aforementioned high-order schemes to resolve turbulent structures. The effect of the spatial resolution in different directions and coarse grid implicit LES are also evaluated against the WALE LES model. The TENO schemes are found to exhibit significant performance improvements over the WENO schemes in terms of the accuracy of the statistics and the resolution of the three-dimensional vortical structures. The sixth-order adaptive TENO scheme is found to produce comparable results to those obtained with nondissipative fourth- and sixth-order central schemes and reference data obtained with spectral methods. Although the most computationally expensive scheme, it is shown that this adaptive scheme can produce satisfactory results if used as an implicit LES model.
GPU, channel flow, code generation, high-order, openSBLI, teno
176-196
Hamzehloo, Arash
456b886d-3edb-4dd3-9512-0cb0fb5cf146
Lusher, David
dd681c9e-ceae-409b-8153-8248c13a18e5
Laizet, Sylvain
74f95ec1-e915-427c-a1a3-d13e8729d0fb
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
January 2021
Hamzehloo, Arash
456b886d-3edb-4dd3-9512-0cb0fb5cf146
Lusher, David
dd681c9e-ceae-409b-8153-8248c13a18e5
Laizet, Sylvain
74f95ec1-e915-427c-a1a3-d13e8729d0fb
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Hamzehloo, Arash, Lusher, David, Laizet, Sylvain and Sandham, Neil
(2021)
On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows.
International Journal for Numerical Methods in Fluids, 93 (1), .
(doi:10.1002/fld.4879).
Abstract
High-speed compressible turbulent flows typically contain discontinuities and have been widely modeled using Weighted Essentially Non-Oscillatory (WENO) schemes due to their high-order accuracy and sharp shock capturing capability. However, such schemes may damp the small scales of turbulence and result in inaccurate solutions in the context of turbulence-resolving simulations. In this connection, the recently developed Targeted Essentially Non-Oscillatory (TENO) schemes, including adaptive variants, may offer significant improvements. The present study aims to quantify the potential of these new schemes for a fully turbulent supersonic flow. Specifically, DNS of a compressible turbulent channel flow with M = 1.5 and Re
τ = 222 is conducted using OpenSBLI, a high-order finite difference computational fluid dynamics framework. This flow configuration is chosen to decouple the effect of flow discontinuities and turbulence and focus on the capability of the aforementioned high-order schemes to resolve turbulent structures. The effect of the spatial resolution in different directions and coarse grid implicit LES are also evaluated against the WALE LES model. The TENO schemes are found to exhibit significant performance improvements over the WENO schemes in terms of the accuracy of the statistics and the resolution of the three-dimensional vortical structures. The sixth-order adaptive TENO scheme is found to produce comparable results to those obtained with nondissipative fourth- and sixth-order central schemes and reference data obtained with spectral methods. Although the most computationally expensive scheme, it is shown that this adaptive scheme can produce satisfactory results if used as an implicit LES model.
Text
2020_IJNMF_accepted
- Accepted Manuscript
More information
Accepted/In Press date: 9 June 2020
Published date: January 2021
Additional Information:
Funding Information:
information UK Turbulence Consortium (UKTC), EP/R029326/1; EPSRC Centre for Doctoral Training, EP/L015382/1; EPSRC Tier-2 capital, EP/P020259/1; UK Fluids Network, EP/N032861/1A.H. is funded by the UK Turbulence Consortium (UKTC) under the EPSRC grant EP/R029326/1. He also received a short research visit (SRV) funding from the UK Fluids Network (EP/N032861/1) over the course of this work. D.J.L. was funded by an EPSRC Centre for Doctoral Training grant (EP/L015382/1). A.H. acknowledges the use of Imperial College London's High Performance Computing Facility and associated support services to conduct the simulations presented in this article. A.H. also acknowledges the use of the Cambridge Tier-2 system operated by the University of Cambridge Research Computing Service under an EPSRC Tier-2 capital grant (EP/P020259/1) to perform part of simulations reported here. The OpenSBLI code is available at https://opensbli.github.io. Data from this study will be made available from the UKTC and the Turbulence Simulation Group repositories.
Publisher Copyright:
© 2020 The Authors. International Journal for Numerical Methods in Fluids published by John Wiley & Sons, Ltd.
Keywords:
GPU, channel flow, code generation, high-order, openSBLI, teno
Identifiers
Local EPrints ID: 441657
URI: http://eprints.soton.ac.uk/id/eprint/441657
ISSN: 0271-2091
PURE UUID: cf83cb08-a58f-45c3-842d-cb4ae3ce73a5
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Date deposited: 23 Jun 2020 16:31
Last modified: 17 Mar 2024 05:40
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Contributors
Author:
Arash Hamzehloo
Author:
David Lusher
Author:
Sylvain Laizet
Author:
Neil Sandham
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