DNS of a counter-flow channel configuration
DNS of a counter-flow channel configuration
Mean flow and turbulence statistics of a compressible turbulent counter-flow channel configuration. This dataset is based on direct numerical simulations conducted using OpenSBLI (https://opensbli.github.io/), a Python-based automatic source code generation and parallel computing framework for finite difference discretisation. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulation of compressible turbulence in a counter-flow channel configuration # Authors: Arash Hamzehloo, David Lusher, Sylvain Laizet and Neil Sandham # Journal: Physical Review Fluids # DOI: https://doi.org/10.1103/PhysRevFluids.6.094603 # ============================================================================================== Please note: Tables 1 and 2 of the above paper provide more detailed information on the counter-flow channels of this dataset. Each folder name of this dataset includes the Mach number, Reynolds number, domain size and grid resolution of a particular case, respectively. In each file, the first column contains the grid-point coordinates in the wall-normal direction (y) with the channel centreline located at y=0. The mean stresses are defined as ⟨u′iu′j⟩=⟨uiuj⟩−⟨ui⟩⟨uj⟩. Angle brackets denote averages over the homogeneous spatial directions (streamwise x and spanwise z) and time. The Favre average is related to the Reynolds average as ⟨ρ⟩{u′′iu′′j}=⟨ρuiuj⟩−⟨ρ⟩⟨ui⟩⟨uj⟩. The mean Mach number is defined as ⟨M⟩=√⟨u⟩2+⟨v⟩2+⟨w⟩2/⟨a⟩ where a is the local speed of sound. The turbulent Mach number is defined as Mt=√⟨u′u′⟩+⟨v′v′⟩+⟨w′w′⟩/⟨a⟩. # ============================================================================================== Details of the OpenSBLI framework, its numerical methodology and existing flow configurations can be found in the following papers: OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids. (link) OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. (link) On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high‐speed compressible flows. (link)
Lusher, David
44ff9096-3c84-440a-9f64-946636aff985
Hamzehloo, Arash
456b886d-3edb-4dd3-9512-0cb0fb5cf146
Laizet, Sylvain
b5c2e5cf-1d8d-4615-9d18-f086b008ae51
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Lusher, David
44ff9096-3c84-440a-9f64-946636aff985
Hamzehloo, Arash
456b886d-3edb-4dd3-9512-0cb0fb5cf146
Laizet, Sylvain
b5c2e5cf-1d8d-4615-9d18-f086b008ae51
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Abstract
Mean flow and turbulence statistics of a compressible turbulent counter-flow channel configuration. This dataset is based on direct numerical simulations conducted using OpenSBLI (https://opensbli.github.io/), a Python-based automatic source code generation and parallel computing framework for finite difference discretisation. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulation of compressible turbulence in a counter-flow channel configuration # Authors: Arash Hamzehloo, David Lusher, Sylvain Laizet and Neil Sandham # Journal: Physical Review Fluids # DOI: https://doi.org/10.1103/PhysRevFluids.6.094603 # ============================================================================================== Please note: Tables 1 and 2 of the above paper provide more detailed information on the counter-flow channels of this dataset. Each folder name of this dataset includes the Mach number, Reynolds number, domain size and grid resolution of a particular case, respectively. In each file, the first column contains the grid-point coordinates in the wall-normal direction (y) with the channel centreline located at y=0. The mean stresses are defined as ⟨u′iu′j⟩=⟨uiuj⟩−⟨ui⟩⟨uj⟩. Angle brackets denote averages over the homogeneous spatial directions (streamwise x and spanwise z) and time. The Favre average is related to the Reynolds average as ⟨ρ⟩{u′′iu′′j}=⟨ρuiuj⟩−⟨ρ⟩⟨ui⟩⟨uj⟩. The mean Mach number is defined as ⟨M⟩=√⟨u⟩2+⟨v⟩2+⟨w⟩2/⟨a⟩ where a is the local speed of sound. The turbulent Mach number is defined as Mt=√⟨u′u′⟩+⟨v′v′⟩+⟨w′w′⟩/⟨a⟩. # ============================================================================================== Details of the OpenSBLI framework, its numerical methodology and existing flow configurations can be found in the following papers: OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids. (link) OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. (link) On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high‐speed compressible flows. (link)
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Published date: 25 March 2021
Identifiers
Local EPrints ID: 472159
URI: http://eprints.soton.ac.uk/id/eprint/472159
PURE UUID: 4d94ed64-d2e8-4568-960b-19978268cd4e
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Date deposited: 28 Nov 2022 17:58
Last modified: 06 May 2023 01:36
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Contributors
Contributor:
David Lusher
Contributor:
Arash Hamzehloo
Contributor:
Sylvain Laizet
Contributor:
Neil Sandham
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