def test_DLLM_valid_dpLoads_dpAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA0=DLLM.get_iAoA()
AoA0=OC.get_AoA_rad()
def f2(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
Post=DLLM.get_DLLMPost()
func=Post.comp_Lift_distrib()
return func
def df2(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
Post=DLLM.get_DLLMPost()
func_grad=Post.comp_dpLift_distrib_dpAoA()
N=len(func_grad)
np_func_grad=zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
val_grad2=FDValidGrad(2,f2,df2,fd_step=1.e-8)
ok2,df_fd2,df2=val_grad2.compare([AoA0],treshold=1.e-5,return_all=True)
assert(ok2)
def test_DLLM_valid_dpF_list_dpW(self):
OC, wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test', wing_param, OC)
print ''
DLLM.run_direct()
iAoA0 = DLLM.get_iAoA()
def f1(x):
DLLM.comp_R(x)
DLLM.set_direct_computed()
DLLM.run_post()
func = DLLM.get_F_list()
return func
def df1(x):
DLLM.comp_R(x)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad = DLLM.get_dpF_list_dpW()
return func_grad
val_grad1 = FDValidGrad(2, f1, df1, fd_step=1.e-8)
ok1, df_fd1, df1 = val_grad1.compare(iAoA0,
treshold=1.e-6,
return_all=True)
assert (ok1)
def test_DLLM_valid_dpF_list_dpchi(self):
OC, wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test', wing_param, OC)
print ''
DLLM.run_direct()
iAoA = DLLM.get_iAoA()
x0 = wing_param.get_dv_array()
def f2(x):
wing_param.update_from_x_list(x)
DLLM.set_wing_param(wing_param)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func = DLLM.get_F_list()
return func
def df2(x):
wing_param.update_from_x_list(x)
DLLM.set_wing_param(wing_param)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad = DLLM.get_dpF_list_dpchi()
return func_grad
val_grad2 = FDValidGrad(2, f2, df2, fd_step=1.e-8)
ok2, df_fd2, df2 = val_grad2.compare(x0,
treshold=1.e-6,
split_out=True,
return_all=True)
assert (ok2)
def test_DLLM_valid_dpF_list_dpAoA(self):
OC, wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test', wing_param, OC)
print ''
DLLM.run_direct()
iAoA = DLLM.get_iAoA()
AoA0 = OC.get_AoA_rad()
def f3(x):
OC.set_AoA_rad(x[0])
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func = DLLM.get_F_list()
return func
def df3(x):
OC.set_AoA_rad(x[0])
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad = DLLM.get_dpF_list_dpAoA()
N = len(func_grad)
np_func_grad = zeros((N, 1))
np_func_grad[:, 0] = func_grad[:]
return np_func_grad
val_grad3 = FDValidGrad(2, f3, df3, fd_step=1.e-8)
ok3, df_fd3, df3 = val_grad3.compare([AoA0],
treshold=1.e-6,
split_out=True,
return_all=True)
assert (ok3)
def test_DLLM_valid_dpLoads_dpAoA(self):
OC, wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test', wing_param, OC)
print ''
DLLM.run_direct()
iAoA0 = DLLM.get_iAoA()
AoA0 = OC.get_AoA_rad()
def f2(x):
OC.set_AoA_rad(x[0])
R = DLLM.comp_R(iAoA0)
Post = DLLM.get_DLLMPost()
func = Post.comp_Lift_distrib()
return func
def df2(x):
OC.set_AoA_rad(x[0])
R = DLLM.comp_R(iAoA0)
Post = DLLM.get_DLLMPost()
func_grad = Post.comp_dpLift_distrib_dpAoA()
N = len(func_grad)
np_func_grad = zeros((N, 1))
np_func_grad[:, 0] = func_grad[:]
return np_func_grad
val_grad2 = FDValidGrad(2, f2, df2, fd_step=1.e-8)
ok2, df_fd2, df2 = val_grad2.compare([AoA0],
treshold=1.e-5,
return_all=True)
assert (ok2)
def test_DLLM_valid_dpF_list_dpchi(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
x0=wing_param.get_dv_array()
def f2(x):
wing_param.update_from_x_list(x)
DLLM.set_wing_param(wing_param)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func=DLLM.get_F_list()
return func
def df2(x):
wing_param.update_from_x_list(x)
DLLM.set_wing_param(wing_param)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad=DLLM.get_dpF_list_dpchi()
return func_grad
val_grad2=FDValidGrad(2,f2,df2,fd_step=1.e-8)
ok2,df_fd2,df2=val_grad2.compare(x0,treshold=1.e-6,split_out=True,return_all=True)
assert(ok2)
def test_DLLM_valid_dpF_list_dpAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
AoA0=OC.get_AoA_rad()
def f3(x):
OC.set_AoA_rad(x[0])
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func=DLLM.get_F_list()
return func
def df3(x):
OC.set_AoA_rad(x[0])
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad=DLLM.get_dpF_list_dpAoA()
N=len(func_grad)
np_func_grad=zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
val_grad3=FDValidGrad(2,f3,df3,fd_step=1.e-8)
ok3,df_fd3,df3=val_grad3.compare([AoA0],treshold=1.e-6,split_out=True,return_all=True)
assert(ok3)
def test_DLLM_valid_dpLoads_distrib_dpAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA0=DLLM.get_iAoA()
AoA0=OC.get_AoA_rad()
Post=DLLM.get_DLLMPost()
def f1(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
DLLM.run_post()
func=Post.Lift_distrib
return func
def df1(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
DLLM.run_post()
func_grad=Post.dpLift_distrib_dpAoA
N=len(func_grad)
np_func_grad=np.zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
def f2(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
DLLM.run_post()
func=Post.Drag_distrib
return func
def df2(x):
OC.set_AoA_rad(x[0])
R=DLLM.comp_R(iAoA0)
DLLM.run_post()
func_grad=Post.dpDrag_distrib_dpAoA
N=len(func_grad)
np_func_grad=np.zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
val_grad1=FDValidGrad(2,f1,df1,fd_step=1.e-8)
ok1,df_fd1,df1=val_grad1.compare([AoA0],treshold=1.e-6,return_all=True)
val_grad2=FDValidGrad(2,f2,df2,fd_step=1.e-8)
ok2,df_fd2,df2=val_grad2.compare([AoA0],treshold=1.e-6,return_all=True)
norm1, norm2 = self.print_valid_FD([AoA0],'dpLift_distrib_dpAoA',df1,df_fd1,'dpDrag_distrib_dpAoA',df2,df_fd2)
self.plot_valid_FD([AoA0],'dpLift_distrib_dpAoA',df1,df_fd1,'dpDrag_distrib_dpAoA',df2,df_fd2, norm1, norm2, 'Loads_distrib_dpAoA')
if (ok1==True) and (ok2==True):
ok = True
else :
ok = False
assert(ok)
def test_DLLM_valid_dpLoads_distrib_dpchi(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
x0=wing_param.get_dv_array()
Post=DLLM.get_DLLMPost()
def f1(x):
wing_param.update_from_x_list(x)
DLLM.set_geom(wing_param)
DLLM.comp_R(iAoA)
Post.run()
func=Post.Lift_distrib
return func
def df1(x):
wing_param.update_from_x_list(x)
DLLM.set_geom(wing_param)
DLLM.comp_R(iAoA)
Post.run()
func_grad=Post.dpLift_distrib_dpchi
return func_grad
def f2(x):
wing_param.update_from_x_list(x)
DLLM.set_geom(wing_param)
DLLM.comp_R(iAoA)
Post.run()
func=Post.Drag_distrib
return func
def df2(x):
wing_param.update_from_x_list(x)
DLLM.set_geom(wing_param)
DLLM.comp_R(iAoA)
Post.run()
func_grad=Post.dpDrag_distrib_dpchi
return func_grad
val_grad1=FDValidGrad(2,f1,df1,fd_step=1.e-8)
ok1,df_fd1,df1=val_grad1.compare(x0,treshold=1.e-6,return_all=True)
val_grad2=FDValidGrad(2,f2,df2,fd_step=1.e-8)
ok2,df_fd2,df2=val_grad2.compare(x0,treshold=1.e-6,return_all=True)
norm1, norm2 = self.print_valid_FD(x0,'dpLift_distrib_dpchi',df1,df_fd1,'dpDrag_distrib_dpchi',df2,df_fd2)
self.plot_valid_FD(x0,'dpLift_distrib_dpchi',df1,df_fd1,'dpDrag_distrib_dpchi',df2,df_fd2, norm1, norm2, 'Loads_distrib_dpchi')
if (ok1==True) and (ok2==True):
ok = True
else :
ok = False
assert(ok)
def test_DLLM_valid_dpR_dpiAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA0=DLLM.get_iAoA()
def f1(x):
func=DLLM.comp_R(x)
return func
def df1(x):
func_grad=DLLM.comp_dpR_dpiAoA(x)
return func_grad
val_grad1=FDValidGrad(2,f1,df1,fd_step=1.e-8)
ok1,df_fd1,df1=val_grad1.compare(iAoA0,treshold=1.e-6,return_all=True)
assert(ok1)
def test_DLLM_valid_dpR_dpthetaY(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
thetaY0=wing_param.get_thetaY()
def f3(x):
wing_param.set_thetaY(x)
func=DLLM.comp_R(iAoA)
return func
def df3(x):
wing_param.set_thetaY(x)
func_grad=DLLM.comp_dpR_dpthetaY()
return func_grad
val_grad3=FDValidGrad(2,f3,df3,fd_step=1.e-8)
ok3,df_fd3,df3=val_grad3.compare(thetaY0,treshold=1.e-6,return_all=True)
assert(ok3)
def test_DLLM_valid_dpR_dpthetaY(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
thetaY0=wing_param.get_thetaY()
def f3(x):
wing_param.set_thetaY(x)
func=DLLM.comp_R(iAoA)
return func
def df3(x):
wing_param.set_thetaY(x)
func_grad=DLLM.comp_dpR_dpthetaY()
return func_grad
val_grad3=FDValidGrad(2,f3,df3,fd_step=1.e-8)
ok3,df_fd3,df3=val_grad3.compare(thetaY0,treshold=1.e-6,return_all=True)
assert(ok3)
def test_DLLM_valid_dpR_dpAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA = DLLM.get_iAoA()
AoA0=OC.get_AoA_rad()
def f4(x):
OC.set_AoA_rad(x[0])
func=DLLM.comp_R(iAoA)
return func
def df4(x):
OC.set_AoA_rad(x[0])
func_grad=DLLM.comp_dpR_dpAoA()
N=len(func_grad)
np_func_grad=zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
val_grad4=FDValidGrad(2,f4,df4,fd_step=1.e-8)
ok4,df_fd4,df4=val_grad4.compare([AoA0],treshold=1.e-6,return_all=True)
assert(ok4)
def test_DLLM_valid_dpR_dpAoA(self):
OC,wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test',wing_param,OC)
print ''
DLLM.run_direct()
iAoA = DLLM.get_iAoA()
AoA0=OC.get_AoA_rad()
def f4(x):
OC.set_AoA_rad(x[0])
func=DLLM.comp_R(iAoA)
return func
def df4(x):
OC.set_AoA_rad(x[0])
func_grad=DLLM.comp_dpR_dpAoA()
N=len(func_grad)
np_func_grad=zeros((N,1))
np_func_grad[:,0]=func_grad[:]
return np_func_grad
val_grad4=FDValidGrad(2,f4,df4,fd_step=1.e-8)
ok4,df_fd4,df4=val_grad4.compare([AoA0],treshold=1.e-6,return_all=True)
assert(ok4)
def test_DLLM_valid_dpLoads_dpiAoA(self):
OC, wing_param = self.__init_wing_param()
DLLM = DLLMSolver('test', wing_param, OC)
print ''
DLLM.run_direct()
iAoA0 = DLLM.get_iAoA()
def f1(x):
R = DLLM.comp_R(x)
Post = DLLM.get_DLLMPost()
func = Post.comp_Lift_distrib()
return func
def df1(x):
R = DLLM.comp_R(x)
Post = DLLM.get_DLLMPost()
func_grad = Post.comp_dpLift_distrib_dpiAoA()
return func_grad
val_grad1 = FDValidGrad(2, f1, df1, fd_step=1.e-8)
ok1, df_fd1, df1 = val_grad1.compare(iAoA0,
treshold=1.e-2,
return_all=True)
assert (ok1)
wing_param.convert_to_design_variable('break_percent', (20., 40.))
wing_param.convert_to_design_variable('root_chord', (5., 7.))
wing_param.convert_to_design_variable('break_chord', (3., 5.))
wing_param.convert_to_design_variable('tip_chord', (1., 2.))
wing_param.convert_to_design_variable('root_height', (1., 1.5))
wing_param.convert_to_design_variable('break_height', (0.8, 1.2))
wing_param.convert_to_design_variable('tip_height', (0.2, 0.5))
wing_param.build_linear_airfoil(OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
print wing_param
DLLM = DLLMSolver('Simple', wing_param, OC)
DLLM.run_direct()
iAoA0 = DLLM.get_iAoA()
AoA0 = OC.get_AoA_rad()
def f(x):
OC.set_AoA_rad(x[0])
func = DLLM.comp_R(iAoA0)
return func
def df(x):
OC.set_AoA_rad(x[0])
func_grad = DLLM.comp_dpR_dpAoA()
N = len(func_grad)
np_func_grad = numpy.zeros((N, 1))
np_func_grad[:, 0] = func_grad[:]
wing_param=Wing_Broken('broken_wing',n_sect=20)
wing_param.import_BC_from_file('input_parameters.par')
wing_param.build_linear_airfoil(OC, AoA0=0.0, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
print wing_param
thetaY0=wing_param.get_thetaY()
print 'thetaY0 shape',thetaY0.shape
print 'thetaY0=',thetaY0
DLLM = DLLMSolver('Simple',wing_param,OC)
DLLM.run_direct()
iAoA=DLLM.get_iAoA()
def f(x):
wing_param.set_thetaY(x)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func=DLLM.get_F_list()
return func
def df(x):
wing_param.set_thetaY(x)
DLLM.set_direct_computed()
DLLM.run_post()
func_grad=DLLM.get_dpF_list_dpthetaY()
return func_grad
wing_param.convert_to_design_variable('tip_height', (0.2, 0.5))
wing_param.build_linear_airfoil(OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
print wing_param
N = wing_param.get_n_sect()
iAoA0 = numpy.zeros(N)
DLLM = DLLMSolver('test', wing_param, OC)
NRPb = NewtonRaphsonProblem(iAoA0, DLLM.comp_R, DLLM.comp_dpR_dpiAoA)
NRPb.set_relax_factor(0.99)
NRPb.set_stop_residual(1.e-9)
NRPb.set_max_iterations(100)
iAoA = NRPb.solve()
DLLM.set_direct_computed()
print iAoA
DLLM.comp_dpR_dpchi()
dpRdpthetaY = DLLM.comp_dpR_dpthetaY()
print 'dpRdpthetaY=', dpRdpthetaY
print DLLM.get_iAoA()
DLLM.run_post()
DLLM.run_adjoint()
OC.set_T0_deg(15.)
OC.set_P0(101325.)
OC.set_humidity(0.)
OC.compute_atmosphere()
wing_param=Wing_Broken('broken_wing',n_sect=20)
wing_param.import_BC_from_file('input_parameters.par')
wing_param.build_linear_airfoil(OC, AoA0=0.0, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
print wing_param
DLLM = DLLMSolver('Simple',wing_param,OC)
DLLM.run_direct()
iAoA0=DLLM.get_iAoA()
print 'iAoA0 shape',iAoA0.shape
print 'iAoA0=',iAoA0
def f(x):
func=DLLM.comp_R(x)
return func
def df(x):
func_grad=DLLM.comp_dpR_dpiAoA(x)
return func_grad
val_grad=FDValidGrad(2,f,df,fd_step=1.e-8)
ok,df_fd,df=val_grad.compare(iAoA0,treshold=1.e-6,return_all=True)
wing_param.convert_to_design_variable('root_height', (1., 1.5))
wing_param.convert_to_design_variable('break_height', (0.8, 1.2))
wing_param.convert_to_design_variable('tip_height', (0.2, 0.5))
wing_param.build_linear_airfoil(OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
print wing_param
x0 = wing_param.get_dv_array()
print 'dv array shape', x0.shape
print 'dv_array=', x0
DLLM = DLLMSolver('Simple', wing_param, OC)
DLLM.run_direct()
iAoA = DLLM.get_iAoA()
# Split validation in 2 steps since the norm depends on the function value scale...
def f(x):
wing_param.update_from_x_list(x)
DLLM.set_wing_param(wing_param)
DLLM.comp_R(iAoA)
DLLM.set_direct_computed()
DLLM.run_post()
func = DLLM.get_F_list()
return func
def df(x):
wing_param.update_from_x_list(x)
wing_param.import_BC_from_file('input_parameters.par')
wing_param.build_linear_airfoil(OC, AoA0=0.0, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()
wing_param.plot()
N = wing_param.get_n_sect()
iAoA0=numpy.zeros(N)
DLLM = DLLMSolver('test',wing_param,OC)
NRPb = NewtonRaphsonProblem(iAoA0, DLLM.comp_R, DLLM.comp_dpR_dpiAoA)
NRPb.set_relax_factor(0.99)
NRPb.set_stop_residual(1.e-9)
NRPb.set_max_iterations(100)
iAoA=NRPb.solve()
DLLM.set_direct_computed()
print iAoA
DLLM.comp_dpR_dpchi()
dpRdpthetaY=DLLM.comp_dpR_dpthetaY()
print 'dpRdpthetaY=',dpRdpthetaY
print DLLM.get_iAoA()
DLLM.run_post()
DLLM.run_adjoint()
