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#!/usr/bin/env python | ||
# encoding: utf-8 | ||
r""" | ||
3D shock-bubble interaction problem. | ||
A planar shock wave impacts a spherical region of low density. | ||
This problem involves the 3D Euler equations: | ||
.. math:: | ||
\rho_t + (\rho u)_x + (\rho v)_y + (\rho w)_z & = 0 \\ | ||
(\rho u)_t + (\rho u^2 + p)_x + (\rho uv)_y & = 0 \\ | ||
(\rho v)_t + (\rho uv)_x + (\rho v^2 + p)_y + (\rho vw)_z & = 0 \\ | ||
(\rho w)_t + (\rho uw)_x + (\rho vw)_y + (\rho w^2 + p)_z & = 0 \\ | ||
E_t + \nabla \cdot (u (E + p) ) & = 0. | ||
The conserved quantities are: | ||
density (rho), x-,y-, and z-momentum (rho*u,rho*v,rho*w), and energy. | ||
""" | ||
import numpy as np | ||
from scipy import integrate | ||
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gamma = 1.4 # Ratio of Specific Heats | ||
gamma1 = gamma - 1. | ||
x0 = 0.5; y0 = 0.; z0 = 0. # Bubble location | ||
r_bubble = 0.2 # Bubble radius | ||
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# Ambient state | ||
rhoout = 1.0 | ||
pout = 1.0 | ||
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# Bubble state | ||
rhoin = 0.1 | ||
pin = 1.0 | ||
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xshock = 0.2 # Initial shock wave location | ||
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# State behind shock wave | ||
p_shock = 5.0 | ||
rho_shock = (gamma1 + p_shock*(gamma+1.))/ ((gamma+1.) + gamma1*p_shock) | ||
v_shock = (p_shock - 1.) / np.sqrt(0.5 * ((gamma+1.) * p_shock+gamma1)) | ||
e_shock = 0.5*rho_shock*v_shock**2 + p_shock/gamma1 | ||
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def bubble(y, x, zdown, zup, which): | ||
"Used to compute how much of each cell is in the bubble." | ||
def sphere_top(y, x, which): | ||
z2 = r_bubble**2 - (x-x0)**2 - (y-y0)**2 | ||
if z2 < 0: | ||
return 0 | ||
else: | ||
return z0 + np.sqrt(z2) | ||
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def sphere_bottom(y, x, which): | ||
z2 = (r_bubble**2 - (x-x0)**2 - (y-y0)**2) | ||
if z2 < 0: | ||
return 0 | ||
else: | ||
return z0 - np.sqrt(z2) | ||
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top = min(sphere_top(y,x, which), zup) | ||
bottom = min(top,max(sphere_bottom(y,x, which), zdown)) | ||
return top-bottom | ||
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def incoming_shock(state,dim,t,qbc,auxbc,num_ghost): | ||
""" | ||
Incoming shock at x=0 boundary. | ||
""" | ||
for i in xrange(num_ghost): | ||
qbc[0,i,...] = rho_shock | ||
qbc[1,i,...] = rho_shock*v_shock | ||
qbc[2,i,...] = 0. | ||
qbc[3,i,...] = 0. | ||
qbc[4,i,...] = e_shock | ||
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def setup(kernel_language='Fortran', solver_type='classic', use_petsc=False, | ||
dimensional_split=False, outdir='_output', output_format='hdf5', | ||
disable_output=False, num_cells=(256,64,64), | ||
tfinal=0.6, num_output_times=10): | ||
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from clawpack import riemann | ||
if use_petsc: | ||
import clawpack.petclaw as pyclaw | ||
else: | ||
from clawpack import pyclaw | ||
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if solver_type=='classic': | ||
solver = pyclaw.ClawSolver3D(riemann.euler_3D) | ||
solver.dimensional_split = dimensional_split | ||
else: | ||
raise Exception('Unrecognized solver_type.') | ||
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x = pyclaw.Dimension('x', 0.0, 2.0, num_cells[0]) | ||
y = pyclaw.Dimension('y', 0.0, 0.5, num_cells[1]) | ||
z = pyclaw.Dimension('z', 0.0, 0.5, num_cells[2]) | ||
domain = pyclaw.Domain([x,y,z]) | ||
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solver.all_bcs = pyclaw.BC.extrap | ||
solver.bc_lower[0] = pyclaw.BC.custom | ||
solver.user_bc_lower = incoming_shock | ||
solver.bc_lower[1] = pyclaw.BC.wall | ||
solver.bc_lower[2] = pyclaw.BC.wall | ||
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state = pyclaw.State(domain,solver.num_eqn) | ||
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state.problem_data['gamma'] = gamma | ||
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grid = state.grid | ||
X,Y,Z = grid.p_centers | ||
r0 = np.sqrt((X-x0)**2 + (Y-y0)**2 + (Z-z0)**2) | ||
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state.q[0,:,:,:] = rho_shock*(X<xshock) + rhoout*(X>=xshock) # density (rho) | ||
state.q[1,:,:,:] = 0. # x-momentum (rho*u) | ||
state.q[2,:,:,:] = 0. # y-momentum (rho*v) | ||
state.q[3,:,:,:] = 0. # z-momentum (rho*w) | ||
state.q[4,:,:,:] = e_shock*(X<xshock) + pout/gamma1*(X>=xshock) # energy (e) | ||
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# Compute cell fraction inside bubble | ||
dx, dy, dz = state.grid.delta | ||
dx2, dy2, dz2 = [d/2. for d in state.grid.delta] | ||
dmax = max(state.grid.delta) | ||
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for i in xrange(state.q.shape[1]): | ||
for j in xrange(state.q.shape[2]): | ||
for k in xrange(state.q.shape[3]): | ||
if (r0[i,j,k] - dmax > r_bubble): | ||
continue | ||
xdown = X[i,j,k] - dx2 | ||
xup = X[i,j,k] + dx2 | ||
ydown = lambda x : Y[i,j,k] - dy2 | ||
yup = lambda x : Y[i,j,k] + dy2 | ||
zdown = Z[i,j,k] - dz2 | ||
zup = Z[i,j,k] + dz2 | ||
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infrac,abserr = integrate.dblquad(bubble,xdown,xup,ydown,yup, | ||
args=(zdown,zup,0), | ||
epsabs=1.e-3,epsrel=1.e-2) | ||
infrac=infrac/(dx*dy*dz) | ||
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state.q[0,i,j,k] = rhoout*(1.-infrac) + rhoin*infrac | ||
state.q[4,i,j,k] = (pout*(1.-infrac) + pin*infrac)/gamma1 # energy (e) | ||
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claw = pyclaw.Controller() | ||
claw.solution = pyclaw.Solution(state, domain) | ||
claw.solver = solver | ||
claw.output_format = output_format | ||
claw.keep_copy = True | ||
if disable_output: | ||
claw.output_format = None | ||
claw.tfinal = tfinal | ||
claw.num_output_times = num_output_times | ||
claw.outdir = outdir | ||
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return claw | ||
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# __main__() | ||
if __name__=="__main__": | ||
from clawpack.pyclaw.util import run_app_from_main | ||
output = run_app_from_main(setup) |
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