Tutorial derive model parameters for sands using relative density input

Part of the GEOLIB+ package is also a module that can determine certain parameters used as input of Relative Density(RD). To do that the user must used the calculate_using_RD() method to initialize the RD class and calculate all relevant parameters. The method is pretty straight forward as it can be seen in the code block bellow. Note that relative density is expressed as a percentage.

from geolib_plus.relative_density_correlated_parametes import RelativeDensityCorrelatedParameters
# define relative density as float
RD = 80
# create class
RD_parameters = RelativeDensityCorrelatedParameters.calculate_using_RD(RD)
# check expectations
print(RD_parameters.gamma_unsat)
print(RD_parameters.gamma_sat)
print(RD_parameters.E_ur_ref)

The user can also choose an array input for the value of relative density. That would lead also to array outputs.

 from geolib_plus.relative_density_correlated_parametes import RelativeDensityCorrelatedParameters
 import numpy as np

 # define relative density as an array input
 RD = np.array([80, 60])
 # create class
 RD_parameters_array = RelativeDensityCorrelatedParameters.calculate_using_RD(RD)
# check expectations
 print(RD_parameters.gamma_unsat)
 print(RD_parameters.gamma_sat)
 print(RD_parameters.E_ur_ref)