DNS 1-6 Storage Format: Difference between revisions

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=Wing-body junction=
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= Storage Format =
= Storage Format =
The statistical data provided is stored in the vtk format, e.g, filename.vtk [‌[[Lib:DNS_1-5_format#1|1]]].
The instantaneous data provided is stored in the XML Parallel vtkUnstructuredGrid format, e.g, filename.pvtu [‌[[Lib:DNS_1-5_format#1|1]]].
The Parallel data format does not actually contain any data but references other serial files (Serial vtkUnstructuredGrid) containing the data for each grid partition used for the computation, e.g., filename_partition_number.vtu.
Both the .vtk and .vtu files can be easily read through the open-source Paraview software, a multi-platform application for data analysis and visualization [‌[[Lib:DNS_1-5_format#2|2]]]. Datasets are delivered as compressed file (.tar.gz).


==Instantaneous data format==
The statistical data provided is stored in the XML Parallel vtkUnstructuredGrid format, e.g, filename.pvtu [‌[[DNS_1-6_Storage_Format#1|1]]].
The dataset consists of a single .pvtu file per snapshot, directly referencing all the nondimensional variables and their spatial derivatives as well as the node positions.
The Parallel data format does not actually contain any data but references other serial files (Serial vtkUnstructuredGrid) containing the data for each grid partition used for the computation, e.g., filename_partition_number.vtu. vtu files can be easily read through the open-source Paraview software, a multi-platform application for data analysis and visualization [‌[[DNS_1-6_Storage_Format#2|2]]]. Datasets are delivered as compressed file (.tar.gz).
For the sake of handling, the instantaneous data was extracted from a limited region of the computational domain, see [[lib:DNS_1-5_time#Instantaneous_data|Instantaneous data]].  


Provided variables are:
==Statistical data format==
* natural logarithm of dimensionless pressure, <math>\ln{(p/p_{s,ref})}</math>;
The dataset consists of a set of .vtu files:
* natural logarithm of dimensionless temperature, <math>\ln{(T/T_{s,ref})}</math>;
* dimensionless velocity component in x-direction, <math>u/u_{ref}*(\sqrt{\gamma}Ma)</math>;
* dimensionless velocity component in y-direction, <math>v/u_{ref}*(\sqrt{\gamma}Ma)</math>;
* dimensionless velocity component in z-direction, <math>w/u_{ref}*(\sqrt{\gamma}Ma)</math>.


Here, <math>\gamma=1.4</math> and <math>Ma=0.13455</math>.
Volume data
Spatial derivatives of each variable are named as ''variable_di'' where i={x,y,z}, e.g., u_dy is the derivative of the first component of the velocity vector with respect to the x-direction.
* ''averaged_pressure.vtu'': averaged pressure, <math>{p}/p_{ref}</math>
<!--
* ''averaged_velocity_i.vtu'': averaged velocity ''i''-th component, <math>{U}_{i}/u_{ref}</math>
All the quantities are made dimensionless with respect to the reference state. :
* ''Reynolds_stress_ij.vtu'': the 6 components of the Reynolds stress tensor, <math>R_{ij}/(\rho_{ref}u_{ref}^2)</math>
    * <math>R_{max}</math> = 0.0762 m
* ''Taylor_microscale.vtu'': Taylor microscale, <math>\eta_{T}/T</math>
    * <math>p_{ref}</math> = 89377 Pa
* ''Kolmogorov_length_scale.vtu'': Kolmogorov length scale, <math>\eta_{K}/T</math>
    * <math>T_{ref}</math> = 293.15 K
* ''Kolmogorov_time_scale.vtu'': Kolmogorov time scales, <math>\tau_{K}u_{ref}/T</math>
    * <math>u_{ref}</math> = 46.186 m/s
    * <math>Ma</math>    = 0.13455 -->


==Statistical data format==
Surface data
The dataset consists of a set of .vtk files:
* ''bottom_wall_averaged_pressure.vtu'': averaged pressure, <math>{p}/p_{ref}</math>
* ''wing_averaged_pressure.vtu'': averaged pressure, <math>{p}/p_{ref}</math>


* ''averaged_pressure.vtk'': averaged pressure, <math>{p}/p_{s,ref}</math>
* ''averaged_velocity_i.vtk'': averaged velocity ''i''-th component, <math>{U}_{i}/u_{ref}</math>
* ''Reynolds_stress_ij.vtk'': the 6 components of the Reynolds stress tensor, <math>R_{ij}/(\rho_{ref}u_{ref}^2)</math>
* ''Taylor_microscale.vtk'': Taylor microscale, <math>\eta_{T}/H</math>
* ''Kolmogorov_length_scale.vtk'': Kolmogorov length scale, <math>\eta_{K}/H</math>
* ''Kolmogorov_time_scale.vtk'': Kolmogorov time scales, <math>\tau_{K}u_{ref}/H</math>
where <math>i</math> and <math>j</math> range between 1 and 3 and are alias of <math>x</math> (streamwise), <math>y</math> (normalwise), <math>z</math> (spanwise).
where <math>i</math> and <math>j</math> range between 1 and 3 and are alias of <math>x</math> (streamwise), <math>y</math> (normalwise), <math>z</math> (spanwise).


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| organisation=University of Bergamo (UNIBG), ONERA
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Latest revision as of 11:51, 27 February 2023

Wing-body junction

Front Page

Description

Computational Details

Quantification of Resolution

Statistical Data

Instantaneous Data

Storage Format

Storage Format

The statistical data provided is stored in the XML Parallel vtkUnstructuredGrid format, e.g, filename.pvtu [‌1]. The Parallel data format does not actually contain any data but references other serial files (Serial vtkUnstructuredGrid) containing the data for each grid partition used for the computation, e.g., filename_partition_number.vtu. vtu files can be easily read through the open-source Paraview software, a multi-platform application for data analysis and visualization [‌2]. Datasets are delivered as compressed file (.tar.gz).

Statistical data format

The dataset consists of a set of .vtu files:

Volume data

  • averaged_pressure.vtu: averaged pressure,
  • averaged_velocity_i.vtu: averaged velocity i-th component,
  • Reynolds_stress_ij.vtu: the 6 components of the Reynolds stress tensor,
  • Taylor_microscale.vtu: Taylor microscale,
  • Kolmogorov_length_scale.vtu: Kolmogorov length scale,
  • Kolmogorov_time_scale.vtu: Kolmogorov time scales,

Surface data

  • bottom_wall_averaged_pressure.vtu: averaged pressure,
  • wing_averaged_pressure.vtu: averaged pressure,

where and range between 1 and 3 and are alias of (streamwise), (normalwise), (spanwise).

References




Contributed by: Alessandro Colombo (UNIBG), Francesco Carlo Massa (UNIBG), Jean-Baptiste Chapelier (ONERA) — University of Bergamo (UNIBG), ONERA

Front Page

Description

Computational Details

Quantification of Resolution

Statistical Data

Instantaneous Data

Storage Format


© copyright ERCOFTAC 2024