1-dimensional acoustics¶
One-dimensional acoustics¶
Solve the (linear) acoustics equations:
\[\begin{split}p_t + K u_x & = 0 \\
u_t + p_x / \rho & = 0.\end{split}\]
Here p is the pressure, u is the velocity, K is the bulk modulus, and \(\rho\) is the density.
The initial condition is a Gaussian and the boundary conditions are periodic. The final solution is identical to the initial data because both waves have crossed the domain exactly once.
Source:¶
#!/usr/bin/env python
# encoding: utf-8
r"""
One-dimensional acoustics
=========================
Solve the (linear) acoustics equations:
.. math::
p_t + K u_x & = 0 \\
u_t + p_x / \rho & = 0.
Here p is the pressure, u is the velocity, K is the bulk modulus,
and :math:`\rho` is the density.
The initial condition is a Gaussian and the boundary conditions are periodic.
The final solution is identical to the initial data because both waves have
crossed the domain exactly once.
"""
from __future__ import absolute_import
from numpy import sqrt, exp, cos
from clawpack import riemann
def setup(use_petsc=False, kernel_language='Fortran', solver_type='classic', outdir='./_output', ptwise=False, \
weno_order=5, time_integrator='SSP104', disable_output=False):
if use_petsc:
import clawpack.petclaw as pyclaw
else:
from clawpack import pyclaw
if kernel_language == 'Fortran':
if ptwise:
riemann_solver = riemann.acoustics_1D_ptwise
else:
riemann_solver = riemann.acoustics_1D
elif kernel_language=='Python':
riemann_solver = riemann.acoustics_1D_py.acoustics_1D
if solver_type=='classic':
solver = pyclaw.ClawSolver1D(riemann_solver)
solver.limiters = pyclaw.limiters.tvd.MC
elif solver_type=='sharpclaw':
solver = pyclaw.SharpClawSolver1D(riemann_solver)
solver.weno_order=weno_order
solver.time_integrator=time_integrator
if time_integrator == 'SSPLMMk3':
solver.lmm_steps = 4
else: raise Exception('Unrecognized value of solver_type.')
solver.kernel_language=kernel_language
x = pyclaw.Dimension(0.0,1.0,100,name='x')
domain = pyclaw.Domain(x)
num_eqn = 2
state = pyclaw.State(domain,num_eqn)
solver.bc_lower[0] = pyclaw.BC.periodic
solver.bc_upper[0] = pyclaw.BC.periodic
rho = 1.0 # Material density
bulk = 1.0 # Material bulk modulus
state.problem_data['rho']=rho
state.problem_data['bulk']=bulk
state.problem_data['zz']=sqrt(rho*bulk) # Impedance
state.problem_data['cc']=sqrt(bulk/rho) # Sound speed
xc=domain.grid.x.centers
beta=100; gamma=0; x0=0.75
state.q[0,:] = exp(-beta * (xc-x0)**2) * cos(gamma * (xc - x0))
state.q[1,:] = 0.
solver.dt_initial=domain.grid.delta[0]/state.problem_data['cc']*0.1
claw = pyclaw.Controller()
claw.solution = pyclaw.Solution(state,domain)
claw.solver = solver
claw.outdir = outdir
claw.keep_copy = True
claw.num_output_times = 10
if disable_output:
claw.output_format = None
claw.tfinal = 1.0
claw.setplot = setplot
return claw
def setplot(plotdata):
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
plotdata.clearfigures() # clear any old figures,axes,items data
# Figure for pressure
plotfigure = plotdata.new_plotfigure(name='Pressure', figno=1)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(211)'
plotaxes.ylimits = [-.2,1.0]
plotaxes.title = 'Pressure'
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = '-o'
plotitem.color = 'b'
plotitem.kwargs = {'linewidth':2,'markersize':5}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(212)'
plotaxes.xlimits = 'auto'
plotaxes.ylimits = [-.5,1.1]
plotaxes.title = 'Velocity'
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 1
plotitem.plotstyle = '-'
plotitem.color = 'b'
plotitem.kwargs = {'linewidth':3,'markersize':5}
return plotdata
def run_and_plot(**kwargs):
claw = setup(kwargs)
claw.run()
from clawpack.pyclaw import plot
plot.interactive_plot(setplot=setplot)
if __name__=="__main__":
from clawpack.pyclaw.util import run_app_from_main
output = run_app_from_main(setup,setplot)