Latest revision as of 16:14, 17 February 2023

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Storage Format

The statistical data provided is stored in the vtk format, e.g., filename.vtk [‌1]. The instantaneous 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. 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 [‌2]. Datasets are delivered as compressed file (.tar.gz).

Instantaneous data format

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. For the sake of handling, the instantaneous data was extracted from a limited region of the computational domain, see Instantaneous data.

Provided variables are:

natural logarithm of dimensionless pressure, $\ln {(p/p_{s,ref})}$ ;
natural logarithm of dimensionless temperature, $\ln {(T/T_{s,ref})}$ ;
dimensionless velocity component in x-direction, $u/u_{ref}*({\sqrt {\gamma }}Ma)$ ;
dimensionless velocity component in y-direction, $v/u_{ref}*({\sqrt {\gamma }}Ma)$ ;
dimensionless velocity component in z-direction, $w/u_{ref}*({\sqrt {\gamma }}Ma)$ .

Here, $\gamma =1.4$ and $Ma=0.13455$ . 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.

Statistical data format

The dataset consists of a set of .vtk files:

averaged_pressure.vtk: averaged pressure, ${p}/p_{s,ref}$
averaged_velocity_i.vtk: averaged velocity i-th component, ${U}_{i}/u_{ref}$
Reynolds_stress_ij.vtk: the 6 components of the Reynolds stress tensor, $R_{ij}/(\rho _{ref}u_{ref}^{2})$
Taylor_microscale.vtk: Taylor microscale, $\eta _{T}/H$
Kolmogorov_length_scale.vtk: Kolmogorov length scale, $\eta _{K}/H$
Kolmogorov_time_scale.vtk: Kolmogorov time scales, $\tau _{K}u_{ref}/H$

where $i$ and $j$ range between 1 and 3 and are alias of $x$ (streamwise), $y$ (normalwise), $z$ (spanwise).

References

Contributed by: Francesco Bassi, Alessandro Colombo, Francesco Carlo Massa — Università degli studi di Bergamo (UniBG)

Front Page

Description

Computational Details

Quantification of Resolution

Statistical Data

Instantaneous Data

Storage Format

@@ Line 1: / Line 1: @@
+=HiFi-TURB-DLR rounded step=
-{{DNSHeaderLib
+{{DNSHeader
 |area=1
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@@ Line 7: / Line 7: @@
 = Storage Format =
-The volume data provided is stored in the XML Parallel vtkUnstructuredGrid format, e.g, filename.pvtu [&#8204;[[Lib:DNS_1-5_format#1|1]]].
+The statistical data provided is stored in the vtk format, e.g., filename.vtk [&#8204;[[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.
+The instantaneous data provided is stored in the XML Parallel vtkUnstructuredGrid format, e.g, filename.pvtu [&#8204;[[DNS_1-5_format#1|1]]].
-Both the .pvtu (or any .vtu) file can be easily read through the open-source Paraview software, a multi-platform application for data analysis and visualization [&#8204;[[Lib:DNS_1-5_format#2|2]]]. Datasets are delivered as compressed file (.tar.gz).
+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 [&#8204;[[DNS_1-5_format#2|2]]]. Datasets are delivered as compressed file (.tar.gz).
 ==Instantaneous data format==
 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.
-For the sake of handling, the instantaneous data was extracted from a limited region of the computational domain shown in Fig. X.
+For the sake of handling, the instantaneous data was extracted from a limited region of the computational domain, see [[DNS_1-5_time#Instantaneous_data|Instantaneous data]].
-The names of the provided variables are:
+Provided variables are:
-* pressure, <math>p</math>;
+* natural logarithm of dimensionless pressure, <math>\ln{(p/p_{s,ref})}</math>;
-* temperature, <math>T</math>;
+* natural logarithm of dimensionless temperature, <math>\ln{(T/T_{s,ref})}</math>;
-* velocity component in x-direction, <math>u</math>;
+* dimensionless velocity component in x-direction, <math>u/u_{ref}*(\sqrt{\gamma}Ma)</math>;
-* velocity component in y-direction, <math>v</math>;
+* dimensionless velocity component in y-direction, <math>v/u_{ref}*(\sqrt{\gamma}Ma)</math>;
-* velocity component in z-direction, <math>w</math>.
+* dimensionless velocity component in z-direction, <math>w/u_{ref}*(\sqrt{\gamma}Ma)</math>.
-The 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.
+Here, <math>\gamma=1.4</math> and <math>Ma=0.13455</math>.
+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.
-All the quantities are made dimensionless with respect to the reference state.<!-- :
+<!--
+All the quantities are made dimensionless with respect to the reference state. :
       * <math>R_{max}</math> = 0.0762 m
       * <math>p_{ref}</math> = 89377 Pa
@@ Line 32: / Line 34: @@
 ==Statistical data format==
-The dataset consists of a set of .pvtu files, possibly grouping similar statistics:
+The dataset consists of a set of .vtk files:
-* ''averaged_fields.pvtu'':
+* ''averaged_pressure.vtk'': averaged pressure, <math>{p}/p_{s,ref}</math>
-** averaged velocity, <math>\overline{u}_{i}</math>
+* ''averaged_velocity_i.vtk'': averaged velocity ''i''-th component, <math>{U}_{i}/u_{ref}</math>
-** averaged pressure, <math>\overline{p}</math>
+* ''Reynolds_stress_ij.vtk'': the 6 components of the Reynolds stress tensor, <math>R_{ij}/(\rho_{ref}u_{ref}^2)</math>
-** averaged density, <math>\overline{\rho}</math>
+* ''Taylor_microscale.vtk'': Taylor microscale, <math>\eta_{T}/H</math>
-** averaged temperature, <math>\overline{T}</math>
+* ''Kolmogorov_length_scale.vtk'': Kolmogorov length scale, <math>\eta_{K}/H</math>
-* ''averaged_shear_stress.pvtu'': <math>\overline{\tau_{ij}}</math> (averaged viscous stress)
+* ''Kolmogorov_time_scale.vtk'': Kolmogorov time scales, <math>\tau_{K}u_{ref}/H</math>
-* ''Reynolds_stress.pvtu'': <math>R_{ij}</math> (all the components of the Reynolds stress)
+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 <math>u_1</math>, <math>u_2</math>, <math>u_3</math> are alias of <math>u</math>, <math>v</math>, <math>w</math>.
 ==References==
-[1] https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf
+# <div id="1">https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf</div>
+# <div id="2">https://www.paraview.org/</div>
-[2] https://www.paraview.org/
 <br/>
@@ Line 56: / Line 54: @@
 | organisation=Università degli studi di Bergamo (UniBG)
 }}
-{{DNSHeaderLib
+{{DNSHeader
 |area=1
 |number=5

DNS 1-5 Storage Format: Difference between revisions

Latest revision as of 16:14, 17 February 2023

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Contents

Storage Format

Instantaneous data format

Statistical data format

References

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DNS 1-5 Storage Format: Difference between revisions

Latest revision as of 16:14, 17 February 2023

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Storage Format

Instantaneous data format

Statistical data format

References

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