Tutorial Video Overviews

Learning to use PHASTA involves a lot of non-trivial steps, each that have a significant learning curve. Videos are a natural way to learn but we have accumulated a lot of them and this makes it daunting to start. The purpose of this page is to organize and index that knowledge and make it more enabling to self-paced learning.

Here are notes going over the contents of the different tutorial videos with the goal of helping others find tutorial videos of use to them.

See Meta for details on adding new entries.

Video Table

Video Name	Date	Software Used	Description	More Notes	Misc. Tags
RajDemoPrepSolvePost.mov	2019-05-13	viznode, convert, Chef, running PHASTA, Paraview
PrepSolvePostBLandC.mp4	2020-04-15	SimModeler, vglconnect	Partition a mesh via chef, Run a simulation via PHASTA, Post-process via Paraview	viznode, running PHASTA, Post proccessing	Jump to notes below.
Raj_demo.mov	2019-05-12	SimModeler, vglconnect	Overview of using portal1/viznodes, how/when to use vglconnect etc (first ~10 minutes) Use of SimModeler for creating unstructured mesh of a windtunnel	N/A	viznode, meshing
MatLabMeshAndConvert.mov	2019-09-09	Matlab, StructMesh_Channel.m, runMatchedNodeElmReader.sh	Using Riccardo's Matlab script (StructMesh_Channel.m) to create structured mesh for LES_DNS simulation Converting that mesh for use with Chef using runMatchedNodeElmReader.sh	Jump to Notes Below	Channel, Bump, meshing
SpanWiseAveragingPostProcessing.mov	2020-02-11	Matlab, Spanwise averaging Matlab scripts, PHASTA	Viewing required settings for PHASTA to create spanwise averaged statistic files Using Riccardo's Matlab script to take those files and plot them	N/A	post-processing

Video Notes

RajDemoPrepSolvePost.mov

Time Stamps

Time	Notes
2:14	Convert a mesh from SimModeler
8:00	Partition via Chef
18:40	Setup Run directory
22:40	Execute PHASTA
32:20	Setup/Overview Paraview
37:00	Post processing/ visualization of solution via Paraview

Notes

Partition a mesh via chef, Run a simulation via PHASTA, Post-process via Paraview

PrepSolvePostBLandC.mp4

Time Stamps

Time	Notes
0:00	Intro/ environment setup
5:00	Construct Partitioning directory with model files
7:10	Create sub directory and convert Model
9:40	Partition method after conversion step
13:10	PHASTA Run directory setup
16:30	Running PHASTA
20:20	Post processing/ visualization of solution via Paraview

Notes

Partition a mesh via chef, Run a simulation via PHASTA, Post-process via Paraview

MatLabMeshAndConvert.mov

Time Stamps

Time	Notes
0:00	Begin reviewing code of the Matlab scripts
10:30	Run Example Script
12:45	Observing the files generated by Matlab
13:40	Discussion of using matchedNodeElmReader
14:50	Running of runMatchedNodeElmReader.sh script
16:10	Viewing mesh in Paraview

Notes

Create structured meshes using Matlab script created by Riccardo and other tools. Matlab script defines the "values" of the mesh to be generated, while matchedNodeElmReader actually generates the mesh files themselves.

Note that matchedNodeElmReader may also be referred to/named as streamMds.

Result of Matlab script is 5 different files:

*.crd	Coordinates of each vertex
*.class	Classification with respect to the geometrical model (a box in this case)
*.cnn	Connectivity of each element
*.fathers2D	2D grid of the fathers, Used in spanwise averaging
*.match	"vertex matching flag" for periodic boundary conditions

matchedNodeElmReader then takes these files as input and generates two directories: outMesh and rendered. The rendered is a way to view the mesh in Paraview.

The code is run with:

mpirun -np 1 matchedNodeElmReader *.cnn *.crd *.match *.class *.fathers2D output_model.dmg outputMeshDir/

where in the tutorial matchedNodeElmReader is located at /users/rbalin/matchedReader/build-addNfathDebug/test/matchedNodeElnReader. The mesh files (SCOREC Mesh, *.smb) are then placed inside the output mesh directory. A usage message can be shown by running the executable without any arguments.

This command can also be run with multiple MPI processes. Note that this process does "preliminary" partitioning, so the number of mpi processes used is the number of *.smd. The nodes are stored in z, y, x major order (which is generally spanwise, wall-normal, streamwise order), so Riccardo recommends that the number of mpi processes be evenly divisible by the number of streamwise nodes such that these partitions are not divided unevenly.

Once this is done, the *.smb and *.dmg files are fed to Chef for further partitioning and processing.

Meta

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Filling in New Entries

Video Name	Date	Software Used	Description	Misc. Tags
Should be the exact name of the video file and should have a link to the actual video.	ISO format (YYYY-MM-DD)	List of software used, including relevant scripts	Short description of what was done in the video	Place for random key words that don't fit in other categories (ie. used for using the browsers search function)