scientific_comp_projects/CODE/CFD/[barbara]12_steps_navierstokes/1D_nonlinear_convection.py

39 lines
974 B
Python

import numpy as np
import matplotlib.pyplot as plt
import time, sys
"""
Simulation comments :
"""
nx = 51 # Number of grid points.
dx = 2 / (nx-1) # Distance between any pair of adjacent grid points.
nt = 20 # Number of timesteps we want to calculate.
dt = 0.025 # Amount of time each timesteps covers (delta t)
# Boundary conditions.
# Starting all values as 1 m/s.
u = np.ones(nx)
# Setting u = 2 between 0.5 and 1 as per out initial conditions.
u[int(0.5 / dx):int(1 / dx + 1)] = 2
# PLot initial conditions.
fig, ax = plt.subplots(nrows=1, ncols =2, sharey=True)
ax[0].plot(np.linspace(0,2,nx),u)
# Temporary array for the solutions.
un = np.ones(nx)
for n in range(nt): # Loop for values of n from 0 to nt.
un = u.copy() # Copy the existing values of u into un.
for i in range(1, nx): # Loop for values in u from 1 to nx.
u[i] = un[i] - u[i] * dt / dx * (un[i] - un[i-1])
# PLot the solution at t = t_final.
ax[1].plot(np.linspace(0,2,nx), u)
plt.show()