nondim-slurry 0.0.4

Python code that solves the 1D, steady, spherical slurry equations outlined in Wong et al (in prep) (see also Wong et al. 2018)

slurpy

Solve the 1D, steady, spherical slurry system outlined in Wong et al. (in prep) (see also Wong et al. 2018).

Getting Started

Prerequisites

• Python

Installing

Conda:

conda install nondim-slurry

Pip:

pip install nondim-slurry

Git: Download the latest version of the repository here.

A simple example

Sample scripts can be found within the module package slurpy/scripts.

1. Open parameter_search.py

2. Enter some input parameters. For example, try:

# %% MODEL INPUTS
# Show plots?
plotOn=1 # show temp, xi, solid flux and density profiles

# Input parameters
layer_thicknesses=np.array([150e3]) # (m)
thermal_conductivities=np.array([100.]) # (W m^-1 K^-1)
icb_heatfluxes=np.array([3.4]) # (TW)
csb_heatfluxes=np.array([7.4]) # (TW)

h=0.05 # stepsize of heat flux through parameter space

3. Run parameter_search.py

4. Admire the output:

Example: Sensitivity study

1. Open sensitivity.py

2. Enter some input parameters. For example, try:

# %% MODEL INPUTS
# Save plot?
saveOn=0

# Input parameters
layer_thickness=150e3 # (m)
thermal_conductivity=100. # (W m^-1 K^-1)
icb_heatflux=2.5 # (TW)
csb_heatflux=5.0 # (TW)
h=0.05 # stepsize of heat flux through parameter space

# Sensitivity study
csb_temp = np.arange(4500.,6100.,100) # (K)
csb_oxy = np.arange(2,12.5,0.5) # (mol.%)
sed_con= np.array([1e-5,1e-4,1e-3,1e-2,1e-1]) # (kg s/m^3) pre-factor in sedimentation coefficient, b(phi)

3. Run sensitivity.py

4. Admire the output:

Links

• PyPI

Authors

• Jenny Wong - Institut de Physique du Globe de Paris
• Chris Davies - University of Leeds
• Chris Jones - University of Leeds

License

This project is licensed under the MIT License - see the license.md file for details

Acknowledgments

• Del Duca Foundation
• EPSRC Centre for Doctoral Training in Fluid Dynamics

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