@@ -77,7 +77,7 @@ Instructions for Debian/Ubuntu based workstations are as follows.
*[vizualizeRF.py](./generateRF/vizualizeRF.py): file used to generate a gmsh (www.gmsh.info) compatible file to vizualize the random fields
* Reads the ```N``` random fields of type ```'RandField_And_GP_X.csv'``` found in ```mechDir+'/randomFields/'```, where ```mechDir``` is the working directory. Examples of generated 2-dimension RFs can be found in [rnnRF/randomFields/](./rnnRF/randomFields/).
* Uses the mesh structure of the considered application. The script tries to read stress file in ```mechDir+'/GPData'```, where ```mechDir``` is the working directory, describing the elements structure. One example of stress file can be found in [rnnRF/GPData/stress_step1.msh](./rnnRF/GPData/stress_step1.msh).
* The random field number ```X``` is saved in format compatible with Gmhs in the file ```mechDir+'/randomFields/RandField_X.msh'```, where ```mechDir``` is the working directory. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.msh](./rnnRF/randomFields/RandField_0.msh).
* The random field number ```X``` is saved in format compatible with gmsh (www.gmsh.info) in the file ```mechDir+'/randomFields/RandField_X.msh'```, where ```mechDir``` is the working directory. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.msh](./rnnRF/randomFields/RandField_0.msh).
*[utilRF.py](./generateRF/plotRF.py): set of functions used by the RF generator and vizualization files.
### rnnRF
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@@ -132,6 +132,32 @@ After execution the ouput files are store in ```'rnnRF/randomFields'```:
* The random field number ```X``` is saved in the file ```'rnnRF/randomFields/RandField_X.csv'```. The number of columns is the dimension (2) of the random vector and the number of lines is the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.csv](./rnnRF/randomFields/RandField_0.csv).
* The random field number ```X``` along with the spatial points coordinates is saved in the file ```'rnnRF/randomFields/RandField_And_GP_X.csv'```. The number of columns is the dimension (2) of the random vector plus the 3 spatial coordinates and the number of lines is the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_And_GP_0.csv](./rnnRF/randomFields/RandField_And_GP_0.csv).
### Vizualize the random vector distribution
From the [generateRF](./generateRF/) directory, select ```testNb=1``` for ```'rnnRF'``` in the file [plotRF.py](./generateRF/plotRF.py) and then run
```bash
python3 plotRF.py
```
### Vizualize the random field distribution
From the [generateRF](./generateRF/) directory, select ```testNb=1``` for ```'rnnRF'``` in the file [vizualizeRF.py](./generateRF/vizualizeRF.py) and then run
```bash
python3 vizualizeRF.py
```
After execution the ouput files are store in ```'rnnRF/randomFields'```:
* The random field number ```X``` is saved in format compatible with gmsh (www.gmsh.info) in the file ```'rnnRF/randomFields/RandField_X.msh'```. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.msh](./rnnRF/randomFields/RandField_0.msh).
Then, from [rnnRF](./rnnRF/) directory run
```bash
gmsh rubics.msh randomFields/RandField_*.msh
```
to vizualize the RF discretization compatible with the geometry.
