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HelmholtzAirfoil.py
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Sat, Mar 22, 01:27

HelmholtzAirfoil.py
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from copy import copy
import fenics as fen
import numpy as np
import sympy as sp
from rrompy.hfengines.fenics import ScatteringProblemEngine as SPE
from rrompy.hsengines.fenics import HSEngine as HS
from rrompy.reduction_methods.taylor import ApproximantTaylorPade as TP
from rrompy.reduction_methods.taylor import ApproximantTaylorRB as TRB
from rrompy.reduction_methods.lagrange import ApproximantLagrangePade as LP
from rrompy.reduction_methods.lagrange import ApproximantLagrangeRB as LRB
from rrompy.reduction_methods.base import ParameterSweeper as Sweeper
from rrompy.sampling import QuadratureSampler as QS
from matplotlib import pyplot as plt
from operator import itemgetter
def subdict(d, ks):
return dict(zip(ks, itemgetter(*ks)(d)))
####################
test = "solve"
test = "Taylor"
test = "Lagrange"
test = "TaylorSweep"
test = "LagrangeSweep"
ttype = "simple"
###ttype = "augmentedI"
###ttype = "augmentedM"
plotSamples = 'ALL'
#plotSamples = []
k0 = 10 + 1.j
kLeft, kRight = 8 + 1.j, 12 + 1.j
ktar = 11
ktars = np.linspace(8, 12, 33) - .5j
PI = np.pi
R = 2
def Dboundary(x, on_boundary):
return on_boundary and (x[0]**2+x[1]**2)**.5 < .95 * R
kappa = 10
theta = PI * - 45 / 180.
mu = 1.1
epsilon = .1
x, y = sp.symbols('x[0] x[1]', real=True)
phiex = kappa * (x * np.cos(theta) + y * np.sin(theta))
u0ex = - sp.exp(1.j * phiex)
checkReal = x**2-x+y**2
rhoroot = ((x**2+y**2)/((x-1)**2+y**2))**.25
phiroot1 = sp.atan(-y/(x**2-x+y**2)) / 2
phiroot2 = sp.atan(-y/(x**2-x+y**2)) / 2 - PI * sp.sign(-y/(x**2-x+y**2)) / 2
kappam1 = (((rhoroot*sp.cos(phiroot1)+.5)**2.+(rhoroot*sp.sin(phiroot1))**2.)/
((rhoroot*sp.cos(phiroot1)-1.)**2.+(rhoroot*sp.sin(phiroot1))**2.)
)**.5 - mu
kappam2 = (((rhoroot*sp.cos(phiroot2)+.5)**2.+(rhoroot*sp.sin(phiroot2))**2.)/
((rhoroot*sp.cos(phiroot2)-1.)**2.+(rhoroot*sp.sin(phiroot2))**2.)
)**.5 - mu
Heps1 = .9 * .5 * (1 + kappam1/epsilon + sp.sin(PI*kappam1/epsilon) / PI) + .1
Heps2 = .9 * .5 * (1 + kappam2/epsilon + sp.sin(PI*kappam2/epsilon) / PI) + .1
mesh = fen.Mesh('../data/mesh/airfoil.xml')
a = fen.Expression(('{0}>=0 ? ({2}>=-{1} ? ({2}<={1} ? {4} : 1) : .1) : '
'({3}>=-{1} ? ({3}<={1} ? {5} : 1) : .1)')\
.format(sp.printing.ccode(checkReal), str(epsilon),
sp.printing.ccode(kappam1),
sp.printing.ccode(kappam2),
sp.printing.ccode(Heps1),
sp.printing.ccode(Heps2)), degree = 3)
DirichletTerm = [sp.printing.ccode(sp.simplify(sp.re(u0ex))),
sp.printing.ccode(sp.simplify(sp.im(u0ex)))]
if ttype == "simple":
solver = SPE()
solver.omega = k0
solver.V = fen.FunctionSpace(mesh, "P", 3)
solver.diffusivity = a
solver.DirichletBoundary = Dboundary
solver.RobinBoundary = 'rest'
solver.DirichletDatum = [fen.Expression(x, degree = 3)\
for x in DirichletTerm]
plotter = HS(solver.V)
else:
print('NOPE')
# if ttype[-1] == "I": constraintType = "IDENTITY"
# else: constraintType = "MASS"
# solver = HFSA(mesh = mesh, wavenumber = k0, diffusivity = a,
# forcingTerm = 0, FEDegree = 3, DirichletBoundary = Dboundary,
# RobinBoundary = 'rest', DirichletDatum = DirichletTerm,
# constraintType = constraintType)
# plotter = HSA(solver.V, d = 2)
baseRe, baseIm = solver.DirichletDatum
baseRe = fen.project(baseRe, solver.V)
baseIm = fen.project(baseIm, solver.V)
uinc = np.array(baseRe.vector()) + 1.j * np.array(baseIm.vector())
if ttype[: -1] == "augmented":
print('NOPE')
# uinc = [uinc, kappa * uinc]
if test == "solve":
aF = fen.interpolate(a, solver.V)
av = aF.vector()
uh = solver.solve(k0)
print(plotter.norm(uh, kappa))
if ttype == "simple":
uhtot = uh - uinc
else:
uhtot = [x - y for x, y in zip(uh, uinc)]
print(plotter.norm(uhtot, kappa))
plotter.plot(av, what = 'Real', name = 'a')
plotter.plot(uhtot - uh, what = 'Real', name = 'u_inc')
plotter.plot(uh, what = 'ABS')
plotter.plot(uhtot, what = 'ABS', name = 'u + u_inc')
elif test in ["Taylor", "Lagrange"]:
if test == "Taylor":
params = {'N':8, 'M':7, 'R':8, 'E':8, 'sampleType':'Krylov', 'POD':False}
parPade = subdict(params, ['N', 'M', 'E', 'sampleType', 'POD'])
parRB = subdict(params, ['R', 'E', 'sampleType', 'POD'])
approxPade = TP(solver, plotter, mu0 = k0, plotDer = plotSamples,
approxParameters = parPade)
approxRB = TRB(solver, plotter, mu0 = k0, approxParameters = parRB)
else:
params = {'N':8, 'M':7, 'R':9, 'S':9, 'POD':True,
'sampler':QS([kLeft, kRight], "CHEBYSHEV")}
parPade = subdict(params, ['N', 'M', 'S', 'POD', 'sampler'])
parRB = subdict(params, ['R', 'S', 'POD', 'sampler'])
approxPade = LP(solver, plotter, mu0 = np.mean([kLeft, kRight]),
plotSnap = plotSamples, approxParameters = parPade)
approxRB = LRB(solver, plotter, mu0 = np.mean([kLeft, kRight]),
approxParameters = parRB)
PadeErr, solNorm = approxPade.approxError(ktar), approxPade.HFNorm(ktar)
RBErr = approxRB.approxError(ktar)
print(('SolNorm:\t{}\nErrPade:\t{}\nErrRelPade:\t{}\nErrRB:\t\t{}'
'\nErrRelRB:\t{}').format(solNorm, PadeErr,
np.divide(PadeErr, solNorm), RBErr,
np.divide(RBErr, solNorm)))
print('\nPoles Pade'':')
print(approxPade.getPoles())
print('\nPoles RB:')
print(approxRB.getPoles())
uHF = approxPade.getHF(ktar)
plotter.plot(uHF, name = 'u_ex')
approxPade.plotApp(ktar, name = 'u_Pade''')
approxRB.plotApp(ktar, name = 'u_RB')
approxPade.plotErr(ktar, name = 'errPade''')
approxRB.plotErr(ktar, name = 'errRB')
elif test in ["TaylorSweep", "LagrangeSweep"]:
if test == "TaylorSweep":
shift = 10
nsets = 3
stride = 3
Emax = stride * (nsets - 1) + shift + 1
params = {'Emax':Emax, 'sampleType':'Krylov', 'POD':False}
paramsSetsPade = [None] * nsets
paramsSetsRB = [None] * nsets
for i in range(nsets):
paramsSetsPade[i] = {'N':stride*i+shift + 1, 'M':stride*i+shift,
'E':stride*i+shift + 1}
paramsSetsRB[i] = {'E':stride*i+shift + 1,'R':stride*i+shift + 1}
approxPade = TP(solver, plotter, mu0 = kappa,approxParameters = params)
approxRB = TRB(solver, plotter, mu0 = kappa, approxParameters = params)
else:
shift = 10
nsets = 3
stride = 3
Smax = stride * (nsets - 1) + shift + 2
paramsPade = {'S':Smax, 'POD':True,
'sampler':QS([kLeft, kRight], "CHEBYSHEV")}
paramsRB = copy(paramsPade)
paramsSetsPade = [None] * nsets
paramsSetsRB = [None] * nsets
for i in range(nsets):
paramsSetsPade[i] = {'N': stride*i+shift+1, 'M': stride*i+shift,
'S': stride*i+shift+2}
paramsSetsRB[i] = {'R': stride*i+shift+1, 'S': stride*i+shift+2}
approxPade = LP(solver, plotter, mu0 = np.mean([kLeft, kRight]),
approxParameters = paramsPade)
approxRB = LRB(solver, plotter, mu0 = np.mean([kLeft, kRight]),
approxParameters = paramsRB)
sweeper = Sweeper(mutars = ktars, mostExpensive = 'Approx')
sweeper.ROMEngine = approxPade
sweeper.params = paramsSetsPade
filenamePade = sweeper.sweep('../data/output/HelmholtzAirfoil'+test[:-5]+'PadeFE.dat')
sweeper.ROMEngine = approxRB
sweeper.params = paramsSetsRB
filenameRB = sweeper.sweep('../data/output/HelmholtzAirfoil'+test[:-5]+'RBFE.dat')
for i in range(nsets):
if test == "TaylorSweep":
val = stride*i+shift+1
PadeOutput = sweeper.read(filenamePade, {'N':val},
['muRe', 'HFNorm', 'AppNorm', 'ErrNorm'])
RBOutput = sweeper.read(filenameRB, {'E':val},
['muRe', 'AppNorm', 'ErrNorm'])
let = 'E'
else:
val = stride*i+shift+2
PadeOutput = sweeper.read(filenamePade, {'S':val},
['muRe', 'HFNorm', 'AppNorm', 'ErrNorm'])
RBOutput = sweeper.read(filenameRB, {'S':val},
['muRe', 'AppNorm', 'ErrNorm'])
let = 'S'
ktarsF = PadeOutput['muRe']
solNormF = PadeOutput['HFNorm']
PadektarsF = PadeOutput['muRe']
PadeNormF = PadeOutput['AppNorm']
PadeErrorF = PadeOutput['ErrNorm']
RBktarsF = RBOutput['muRe']
RBNormF = RBOutput['AppNorm']
RBErrorF = RBOutput['ErrNorm']
plt.figure(figsize = (10, 5))
plt.plot(ktarsF, solNormF, 'k-', label='Sol norm')
plt.plot(PadektarsF, PadeNormF, 'b--',
label='Pade'' norm, {1} = {0}'.format(val, let))
plt.plot(RBktarsF, RBNormF, 'g--',
label='RB norm, {1} = {0}'.format(val, let))
plt.legend()
plt.grid()
p = plt.legend(loc = 'upper left')
plt.savefig('./normA' + str(i) + '.eps',
format='eps', dpi=1000)
plt.show()
plt.close()
plt.figure(figsize = (10, 5))
plt.semilogy(ktarsF, np.divide(PadeErrorF, solNormF), 'b',
label='Pade'' relative error, {1} = {0}'.format(val, let))
plt.semilogy(RBktarsF, np.divide(RBErrorF, solNormF), 'g',
label='RB relative error, {1} = {0}'.format(val, let))
plt.legend()
plt.grid()
p = plt.legend(loc = 'lower right')
plt.savefig('./errorAR' + str(i) + '.eps',
format='eps', dpi=1000)
plt.show()
plt.close()

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