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Direct Numerical Simulations of Shock Trains

Direct Numerical Simulations of Shock Trains
Direct Numerical Simulations of Shock Trains
Accompanying data for PhD thesis, Gillespie, A. (2021). Direct Numerical Simulations of Shock Trains. University of Southampton. Three data files are submitted alongside this document containing data produced over the course of the project. The file formats are HDF5 and they can be easily accessed with MATLAB, Python, R and other common scientific software. The data is non-dimensionalised by the relevant simulation reference values (see section 3.2 of the thesis). Time-averaged flow field data from the shock train cases described in chapters 4 and 5 are contained within the file shock_train_data.h5. The data is grouped by test case and for each the following variables are given: x, y, ρ, ρu, ρv, ρw, ρE. All data is averaged in time and in the spanwise direction (for duct cases only the homogeneous core is averaged). Data from the three boundary layer (shock-less) cases from section 4.1 are stored in the file boundary_layer_data.h5. In addition to the variables listed above we include the six unique components of the ρ(u_i)(u_j) tensor in order to allow for a full reconstruction of the Reynolds stresses. The centreline and wall time-history data for the step and sinusoidal forcing cases can be found within time_history_data.h5. The main flow variables (ρ, ρu, ρv, ρw, ρE) are given as well as 1D arrays of x and t. The datasets are named in the format [casename]_[wall/centre].
University of Southampton
Gillespie, Alexander
1df862b7-cb1d-4f05-8dde-006d4e945998
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Gillespie, Alexander
1df862b7-cb1d-4f05-8dde-006d4e945998
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97

Gillespie, Alexander (2021) Direct Numerical Simulations of Shock Trains. University of Southampton doi:10.5258/SOTON/D1770 [Dataset]

Record type: Dataset

Abstract

Accompanying data for PhD thesis, Gillespie, A. (2021). Direct Numerical Simulations of Shock Trains. University of Southampton. Three data files are submitted alongside this document containing data produced over the course of the project. The file formats are HDF5 and they can be easily accessed with MATLAB, Python, R and other common scientific software. The data is non-dimensionalised by the relevant simulation reference values (see section 3.2 of the thesis). Time-averaged flow field data from the shock train cases described in chapters 4 and 5 are contained within the file shock_train_data.h5. The data is grouped by test case and for each the following variables are given: x, y, ρ, ρu, ρv, ρw, ρE. All data is averaged in time and in the spanwise direction (for duct cases only the homogeneous core is averaged). Data from the three boundary layer (shock-less) cases from section 4.1 are stored in the file boundary_layer_data.h5. In addition to the variables listed above we include the six unique components of the ρ(u_i)(u_j) tensor in order to allow for a full reconstruction of the Reynolds stresses. The centreline and wall time-history data for the step and sinusoidal forcing cases can be found within time_history_data.h5. The main flow variables (ρ, ρu, ρv, ρw, ρE) are given as well as 1D arrays of x and t. The datasets are named in the format [casename]_[wall/centre].

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README.txt - Dataset
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shock_train_data.h5 - Dataset
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boundary_layer_data.h5 - Dataset
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time_series_data.h5 - Dataset
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More information

Published date: 13 August 2021

Identifiers

Local EPrints ID: 450833
URI: http://eprints.soton.ac.uk/id/eprint/450833
PURE UUID: 42d6e09e-6fc3-4f7b-946a-aa191eabfa27
ORCID for Neil Sandham: ORCID iD orcid.org/0000-0002-5107-0944

Catalogue record

Date deposited: 13 Aug 2021 16:48
Last modified: 06 May 2023 01:36

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Contributors

Creator: Alexander Gillespie
Contributor: Neil Sandham ORCID iD

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