2528df0f75
These changes make it unnecessary to copy header files around during the build process, which tends to confuse IDEs and debuggers. The headers which comprise Cantera's external C++ interface are now in the 'include' directory. All of the samples and demos are now in the 'samples' subdirectory.
114 lines
3.4 KiB
Python
Executable file
114 lines
3.4 KiB
Python
Executable file
""" Solve a steady-state problem by combined damped Newton iteration
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and time integration. Function solve is no longer used, now that the
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functional equivalent has been added to the Cantera C++ kernel. """
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from Cantera import CanteraError
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from Cantera.num import array
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import math, types
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print
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"""
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module solve is deprecated, and may be removed in a future release. If you
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use it and do not want it removed, send an e-mail to cantera-help@caltech.edu.
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"""
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def solve(sim, loglevel = 0, refine_grid = 1, plotfile = '', savefile = ''):
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"""
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Solve a steady-state problem by combined damped Newton iteration
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and time integration.
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"""
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new_points = 1
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# get options
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dt = sim.option('timestep')
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ft = sim.option('ftime')
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# sequence of timesteps
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_steps = sim.option('nsteps')
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if type(_steps) == types.IntType: _steps = [_steps]
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len_nsteps = len(_steps)
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dt = sim.option('timestep')
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ll = loglevel
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soln_number = -1
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max_timestep = sim.option('max_timestep')
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sim.collect()
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# loop until refine adds no more points
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while new_points > 0:
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istep = 0
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nsteps = _steps[istep]
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# loop until Newton iteration succeeds
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ok = 0
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while ok == 0:
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# Try to solve the steady-state problem by damped
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# Newton iteration.
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try:
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if loglevel > 0:
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print 'Attempt Newton solution of ',\
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'steady-state problem...',
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sim.newton_solve(loglevel-1)
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if loglevel > 0:
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print 'success.\n\n'
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print '%'*79+'\n'
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print 'Problem solved on ',sim.npts,' point grid(s).\n'
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print '%'*79+'\n'
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ok = 1
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soln_number += 1
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sim.finish()
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except CanteraError:
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# Newton iteration failed.
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if loglevel > 0: print '\n'
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# Take nsteps time steps, starting with step size
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# dt. The final dt may be smaller than the initial
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# value if one or more steps fail.
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if loglevel == 1:
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print 'Take',nsteps,' timesteps',
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dt = sim.py_timeStep(nsteps,dt,loglevel=ll-1)
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if loglevel == 1: print dt, math.log10(sim.ssnorm())
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istep += 1
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if istep >= len_nsteps:
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nsteps = _steps[-1]
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dt *= 2.0
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else:
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nsteps = _steps[istep]
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if dt > max_timestep: dt = max_timestep
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# A converged solution was found. Save and/or plot it, then
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# check whether the grid should be refined.
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# Add the solution to the plot file
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if plotfile:
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sim.outputTEC(plotfile,"flame","p"+`sim.npts`,append=soln_number)
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# If a filename has been specified for a save file, add
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# the solution to this file
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if savefile:
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sim.save(savefile, soln_name+'_'+`sim.npts`+'_points')
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if loglevel > 2: sim.show()
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if refine_grid:
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# Call refine to add new points, if needed
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new_points = sim.refine(loglevel = loglevel - 1)
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else:
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new_points = 0
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