1e-10)
print('Altitude Derivatives:')
reg_write(funcsSens['mdo_tutorial_cd']['altitude_mdo_tutorial'], 1e-8,
1e-8)
reg_write(funcsSens['mdo_tutorial_cmz']['altitude_mdo_tutorial'], 1e-8,
1e-8)
reg_write(funcsSens['mdo_tutorial_lift']['altitude_mdo_tutorial'],
1e-8, 1e-8)
else:
# For the complex....we just do successive perturbation
for ii in range(3):
ap.alpha = 1.8
ap.mach = 0.80
ap.altitude = 10000.0
if ii == 0:
ap.alpha += h * 1j
elif ii == 1:
ap.mach += h * 1j
else:
ap.altitude += h * 1j
CFDSolver.resetFlow(ap)
CFDSolver(ap, writeSolution=False)
funcs = {}
CFDSolver.evalFunctions(ap, funcs)
if MPI.COMM_WORLD.rank == 0:
if ii == 0:
for key in ['cd', 'cmz', 'lift']:
def test5():
# ****************************************************************************
printHeader('MDO tutorial RANS Aerodynamic Variables')
# ****************************************************************************
aeroOptions = copy.deepcopy(defOpts)
# Now set the options that need to be overwritten for this example:
aeroOptions.update(
{'gridfile': '../inputFiles/mdo_tutorial_rans.cgns',
'mgcycle':'2w',
'equationtype':'RANS',
'smoother':'dadi',
'nsubiterturb':3,
'nsubiter':3,
'cfl':1.5,
'cflcoarse':1.25,
'ncyclescoarse':250,
'ncycles':750,
'monitorvariables':['resrho','resturb','cl','cd','cmz','yplus','totalr'],
'usenksolver':True,
'l2convergence':1e-17,
'l2convergencecoarse':1e-2,
'nkswitchtol':1e-4,
'adjointl2convergence': 1e-16,
'nkls': 'non monotone',
'frozenturbulence':False,
'nkjacobianlag':2,
}
)
# Setup aeroproblem, cfdsolver
ap = AeroProblem(name='mdo_tutorial', alpha=1.8, mach=0.80,
altitude=10000.0, areaRef=45.5, chordRef=3.25, evalFuncs=['cd','cmz','lift'])
ap.addDV('alpha')
ap.addDV('mach')
ap.addDV('altitude')
CFDSolver = ADFLOW(options=aeroOptions,debug=True)
if not 'complex' in sys.argv:
# Solve system
CFDSolver(ap, writeSolution=False)
funcs = {}
CFDSolver.evalFunctions(ap, funcs)
# Solve sensitivities
funcsSens = {}
CFDSolver.evalFunctionsSens(ap, funcsSens)
# Write values and derivatives out:
if MPI.COMM_WORLD.rank == 0:
for key in ['cd','cmz','lift']:
print 'funcs[%s]:'%key
reg_write(funcs['mdo_tutorial_%s'%key],1e-10,1e-10)
# Now write the derivatives in the same order the CS will do them:
print ('Alpha Derivatives:')
reg_write(funcsSens['mdo_tutorial_cd']['alpha_mdo_tutorial'], 1e-10,1e-10)
reg_write(funcsSens['mdo_tutorial_cmz']['alpha_mdo_tutorial'], 1e-10,1e-10)
reg_write(funcsSens['mdo_tutorial_lift']['alpha_mdo_tutorial'], 1e-10,1e-10)
print ('Mach Derivatives:')
reg_write(funcsSens['mdo_tutorial_cd']['mach_mdo_tutorial'], 1e-10,1e-10)
reg_write(funcsSens['mdo_tutorial_cmz']['mach_mdo_tutorial'], 1e-10,1e-10)
reg_write(funcsSens['mdo_tutorial_lift']['mach_mdo_tutorial'], 1e-10,1e-10)
print ('Altitude Derivatives:')
reg_write(funcsSens['mdo_tutorial_cd']['altitude_mdo_tutorial'], 1e-8,1e-8)
reg_write(funcsSens['mdo_tutorial_cmz']['altitude_mdo_tutorial'], 1e-8,1e-8)
reg_write(funcsSens['mdo_tutorial_lift']['altitude_mdo_tutorial'], 1e-8,1e-8)
else:
# For the complex....we just do successive perturbation
for ii in range(3):
ap.alpha = 1.8
ap.mach = 0.80
ap.altitude = 10000.0
if ii == 0:
ap.alpha += h*1j
elif ii == 1:
ap.mach += h*1j
else:
ap.altitude += h*1j
CFDSolver.resetFlow(ap)
CFDSolver(ap, writeSolution=False)
funcs = {}
CFDSolver.evalFunctions(ap, funcs)
if MPI.COMM_WORLD.rank == 0:
if ii == 0:
for key in ['cd','cmz','lift']:
print 'funcs[%s]:'%key
reg_write(numpy.real(funcs['mdo_tutorial_%s'%key]),1e-10,1e-10)
if ii == 0:
print ('Alpha Derivatives:')
for key in ['cd','cmz','lift']:
deriv = numpy.imag(funcs['mdo_tutorial_%s'%key])/h
reg_write(deriv,1e-10,1e-10)
elif ii == 1:
print ('Mach Derivatives:')
for key in ['cd','cmz','lift']:
deriv = numpy.imag(funcs['mdo_tutorial_%s'%key])/h
reg_write(deriv,1e-10,1e-10)
else:
print ('AltitudeDerivatives:')
for key in ['cd','cmz','lift']:
deriv = numpy.imag(funcs['mdo_tutorial_%s'%key])/h
reg_write(deriv,1e-10,1e-10)
del CFDSolver
