@@ -52,7 +52,7 @@ Instructions for Debian/Ubuntu based workstations are as follows.
### generateRF
*[generateRF.py](./generateRF/generateRF.py):
*[generateRF.py](./generateRF/generateRF.py): file used to generate the random fields
* The RF is defined from the mean and standard deviation of the variables as well as from their correlation following for example for a 2-dimension RF:
*```meanX = np.array([0.5,10])``` # mean of variables
*```stdX = np.array([0.05,0.1])``` # std of variables
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@@ -63,12 +63,20 @@ Instructions for Debian/Ubuntu based workstations are as follows.
* The number of RFs to be generated follows from
* Nsim =10
* The Random fields will be generated at the spatial points defined in terms of their coordinates.
* The script tries to read a file in ```mechDir+'/GPData'```, where ```mechDir``` is the working directory, describing the list of spatial points. One example of points coordinates can be found in [rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv](./rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv) stored following 3 coordinates, point number and point volume (for a FE simulation)
* The random field number ```X``` is saved in tge file ```mechDir+'/randomFields/RandField_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable and the number of lines 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 file ```mechDir+'/randomFields/RandField_And_GP_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable plus the 3 spatial coordinates and the number of lines 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).
* The variable ```recomputePDF=True``` forces the evaluation of the spectral density matrix, which will be saved in ```mechDir+'/randomFields/H_pdf.dat'```
* The script tries to read a file in ```mechDir+'/GPData'```, where ```mechDir``` is the working directory, describing the list of spatial points. One example of points coordinates can be found in [rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv](./rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv) stored following 3 coordinates, point number and point volume (for a FE simulation).
* The random field number ```X``` is saved in the file ```mechDir+'/randomFields/RandField_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable and the number of lines 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 ```mechDir+'/randomFields/RandField_And_GP_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable plus the 3 spatial coordinates and the number of lines 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).
* The variable ```recomputePDF=True``` forces the evaluation of the spectral density matrix, which will be saved in ```mechDir+'/randomFields/H_pdf.dat'```.
* The variable ```recomputePDF=False``` reads the spectral density matrix already saved in ```mechDir+'/randomFields/H_pdf.dat'```
*[plotRF.py](./generateRF/plotRF.py):
*[plotRF.py](./generateRF/plotRF.py): file used to vizualize the distribution of the random variables.
* Reads the ```N``` random fields of type ```'RandField_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/).
* Plot the distribution of the random variables.
*[vizualizeRF.py](./generateRF/vizualizeRF.py): file used to generate a gmsh 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).
*[utilRF.py](./generateRF/plotRF.py): set of functions used by the RF generator and vizualization files.
