def test_cut_bwb(self):
"""recover element ids"""
log = SimpleLogger(level='warning', encoding='utf-8', log_func=None)
is_bwb = True
if is_bwb:
bdf_filename = os.path.join(MODEL_PATH, 'bwb',
'bwb_saero.bdf') # ymax~=1262.0
else: # pragma: no cover
bdf_filename = r'C:\NASA\asm\all_modes_mach_0.85\flutter.bdf' # ymax=1160.601
normal_plane = np.array([0., 1., 0.])
model = read_bdf(bdf_filename, log=log)
model2 = read_bdf(bdf_filename, log=log)
# initialize theta
thetas = {}
for eid in model.elements:
# theta, Ex, Ey, Gxy
thetas[eid] = (0., 0., 0., 0.)
#p1 = np.array([466.78845, 735.9053, 0.0])
#p2 = np.array([624.91345, 639.68896, -0.99763656])
#dx = p2 - p1
ytol = 2.
nodal_result = None
plane_bdf_filenames = []
y = []
A = []
I = []
EI = []
avg_centroid = []
for i in range(2000):
if is_bwb:
dy = 100. * i + 1. # bwb
coord = CORD2R(1,
rid=0,
origin=[0., dy, 0.],
zaxis=[0., dy, 1],
xzplane=[1., dy, 0.])
else: # pragma: no cover
dy = 4. * i + 1. # CRM
coord = CORD2R(1,
rid=0,
origin=[0., dy, 0.],
zaxis=[0., dy, 1],
xzplane=[1., dy, 0.])
#origin = np.array([0., dy, 0.])
#xzplane = origin + dx
#xzplane = np.array([1., dy, 0.])
#coord = CORD2R.add_axes(cid, rid=0, origin=p1, xaxis=p2-p1, yaxis=None, zaxis=None,
#xyplane=None, yzplane=None, xzplane=None, comment='')
print(coord)
model.coords[1] = coord
plane_bdf_filename = 'plane_face_%i.bdf' % i
cut_face_filename = 'cut_face_%i.csv' % i
if os.path.exists(cut_face_filename):
os.remove(cut_face_filename)
try:
out = cut_face_model_by_coord(
model2,
coord,
ytol,
nodal_result,
plane_atol=1e-5,
skip_cleanup=True,
#csv_filename=cut_face_filename,
csv_filename=None,
#plane_bdf_filename=None)
plane_bdf_filename=plane_bdf_filename,
plane_bdf_offset=dy)
except RuntimeError:
# incorrect ivalues=[0, 1, 2]; dy=771. for CRM
continue
unused_unique_geometry_array, unused_unique_results_array, rods = out
if not os.path.exists(plane_bdf_filename):
break
plane_bdf_filenames.append(plane_bdf_filename)
# eid, nid, inid1, inid2
#print(unique_geometry_array)
#moi_filename = 'amoi_%i.bdf' % i
moi_filename = None
out = calculate_area_moi(model,
rods,
normal_plane,
thetas,
moi_filename=moi_filename)
#print(out)
Ai, Ii, EIi, avg_centroidi = out
y.append(dy)
A.append(Ai)
I.append(Ii)
EI.append(EIi)
avg_centroid.append(avg_centroidi)
#break
with open('thetas.csv', 'w') as csv_filename:
csv_filename.write('# eid(%i),theta,Ex,Ey,Gxy\n')
for eid, (theta, Ex, Ey, Gxy) in sorted(thetas.items()):
csv_filename.write('%i,%f,%f,%f,%f\n' %
(eid, theta, Ex, Ey, Gxy))
y = np.array(y, dtype='float64')
A = np.array(A, dtype='float64')
I = np.array(I, dtype='float64')
EI = np.array(EI, dtype='float64')
avg_centroid = np.array(avg_centroid, dtype='float64')
inid = 1
beam_model = BDF(debug=False)
avg_centroid[:, 1] = y
# wrong
mid = 1
E = 3.0e7
G = None
nu = 0.3
model.add_mat1(mid, E, G, nu, rho=0.1)
Ix = I[:, 0]
Iy = I[:, 1]
Ixy = I[:, 2]
J = Ix + Iy
#i1, i2, i12 = Ix, Iy, Ixy
for inid, xyz in enumerate(avg_centroid):
beam_model.add_grid(inid + 1, xyz)
for eid in range(1, len(A)):
pid = eid
nids = [eid, eid + 1]
x = [1., 0., 0.]
g0 = None
beam_model.add_cbeam(eid,
pid,
nids,
x,
g0,
offt='GGG',
bit=None,
pa=0,
pb=0,
wa=None,
wb=None,
sa=0,
sb=0,
comment='')
# j = i1 + i2
so = ['YES', 'YES']
xxb = [0., 1.]
area = [A[eid - 1], A[eid]]
i1 = [Ix[eid - 1], Ix[eid]]
i2 = [Iy[eid - 1], Iy[eid]]
i12 = [Ixy[eid - 1], Ixy[eid]]
j = [J[eid - 1], J[eid]]
beam_model.add_pbeam(pid,
mid,
xxb,
so,
area,
i1,
i2,
i12,
j,
nsm=None,
c1=None,
c2=None,
d1=None,
d2=None,
e1=None,
e2=None,
f1=None,
f2=None,
k1=1.,
k2=1.,
s1=0.,
s2=0.,
nsia=0.,
nsib=None,
cwa=0.,
cwb=None,
m1a=0.,
m2a=None,
m1b=0.,
m2b=None,
n1a=0.,
n2a=None,
n1b=0.,
n2b=None,
comment='')
beam_model.write_bdf('equivalent_beam_model.bdf')
X = np.vstack([y, A]).T
Y = np.hstack([X, I, EI, avg_centroid])
header = 'y, A, Ix, Iz, Ixz, Ex*Ix, Ex*Iz, Ex*Ixz, xcentroid, ycentroid, zcentroid'
np.savetxt('cut_data_vs_span.csv', Y, header=header, delimiter=',')
show = True
#show = False
if IS_MATPLOTLIB:
plot_inertia(y, A, I, EI, avg_centroid, show=show)
def cut_and_plot_moi(bdf_filename: str, normal_plane: np.ndarray, log: SimpleLogger,
dys: List[float],
coords: List[CORD2R],
ytol: float=2.0,
dirname: str='',
plot: bool=True, show: bool=False) -> Tuple[Any, Any, Any, Any, Any]: # y, A, I, EI, avg_centroid
model = read_bdf(bdf_filename, log=log)
model2 = read_bdf(bdf_filename, log=log)
# initialize theta
thetas = {}
for eid in model.elements:
# theta, Ex, Ey, Gxy
thetas[eid] = (0., 0., 0., 0.)
#p1 = np.array([466.78845, 735.9053, 0.0])
#p2 = np.array([624.91345, 639.68896, -0.99763656])
#dx = p2 - p1
nodal_result = None
plane_bdf_filenames = []
y = []
A = []
I = []
J = []
EI = []
GJ = []
avg_centroid = []
for i, dy, coord in zip(count(), dys, coords):
model.coords[1] = coord
plane_bdf_filename = os.path.join(dirname, f'plane_face_{i:d}.bdf')
cut_face_filename = os.path.join(dirname, f'cut_face_{i:d}.csv')
if os.path.exists(cut_face_filename):
os.remove(cut_face_filename)
try:
out = cut_face_model_by_coord(
model2, coord, ytol,
nodal_result, plane_atol=1e-5, skip_cleanup=True,
#csv_filename=cut_face_filename,
csv_filename=None,
#plane_bdf_filename=None)
plane_bdf_filename=plane_bdf_filename, plane_bdf_offset=dy)
except RuntimeError:
# incorrect ivalues=[0, 1, 2]; dy=771. for CRM
continue
unused_unique_geometry_array, unused_unique_results_array, rods = out
if not os.path.exists(plane_bdf_filename):
break
plane_bdf_filenames.append(plane_bdf_filename)
# eid, nid, inid1, inid2
#print(unique_geometry_array)
#moi_filename = 'amoi_%i.bdf' % i
moi_filename = None
out = calculate_area_moi(model, rods, normal_plane, thetas, moi_filename=moi_filename)
#print(out)
Ai, Ii, EIi, avg_centroidi = out
#Ai, Ii, Ji, EIi, GJi, avg_centroidi = out
Ji = GJi = 1.0
y.append(dy)
A.append(Ai)
I.append(Ii)
J.append(Ji)
EI.append(EIi)
GJ.append(GJi)
avg_centroid.append(avg_centroidi)
#break
thetas_csv_filename = os.path.join(dirname, 'thetas.csv')
with open(thetas_csv_filename, 'w') as csv_filename:
csv_filename.write('# eid(%i),theta,Ex,Ey,Gxy\n')
for eid, (theta, Ex, Ey, Gxy) in sorted(thetas.items()):
csv_filename.write('%i,%f,%f,%f,%f\n' % (eid, theta, Ex, Ey, Gxy))
y = np.array(y, dtype='float64')
A = np.array(A, dtype='float64')
I = np.array(I, dtype='float64')
J = np.array(J, dtype='float64')
EI = np.array(EI, dtype='float64')
GJ = np.array(GJ, dtype='float64')
avg_centroid = np.array(avg_centroid, dtype='float64')
inid = 1
beam_model = BDF(debug=False)
avg_centroid[:, 1] = y
# wrong
mid = 1
E = 3.0e7
G = None
nu = 0.3
model.add_mat1(mid, E, G, nu, rho=0.1)
# 0 1 2 3 4 5
# [Ixx, Iyy, Izz, Ixy, Iyz, Ixz]
Ix = I[:, 0]
Iy = I[:, 1]
Iz = I[:, 2]
Ixz = I[:, 5]
J = Ix + Iz
#i1, i2, i12 = Ix, Iy, Ixy
for inid, xyz in enumerate(avg_centroid):
beam_model.add_grid(inid+1, xyz)
for eid in range(1, len(A)):
pid = eid
nids = [eid, eid + 1]
x = [1., 0., 0.]
g0 = None
beam_model.add_cbeam(eid, pid, nids, x, g0, offt='GGG', bit=None,
pa=0, pb=0, wa=None, wb=None, sa=0, sb=0, comment='')
# j = i1 + i2
so = ['YES', 'YES']
xxb = [0., 1.]
area = [A[eid-1], A[eid]]
i1 = [Ix[eid-1], Ix[eid]]
i2 = [Iz[eid-1], Iz[eid]]
i12 = [Ixz[eid-1], Ixz[eid]]
j = [J[eid-1], J[eid]]
beam_model.add_pbeam(pid, mid, xxb, so, area, i1, i2, i12, j, nsm=None,
c1=None, c2=None, d1=None, d2=None, e1=None, e2=None, f1=None, f2=None,
k1=1., k2=1., s1=0., s2=0., nsia=0., nsib=None, cwa=0., cwb=None,
m1a=0., m2a=0., m1b=None, m2b=None,
n1a=0., n2a=0., n1b=None, n2b=None,
comment='')
beam_model_bdf_filename = os.path.join(dirname, 'equivalent_beam_model.bdf')
beam_model.write_bdf(beam_model_bdf_filename)
X = np.vstack([y, A]).T
Y = np.hstack([X, I, EI, avg_centroid])
header = 'y, A, Ix, Iz, Ixz, Ex*Ix, Ex*Iz, Ex*Ixz, xcentroid, ycentroid, zcentroid'
cut_data_span_filename = os.path.join(dirname, 'cut_data_vs_span.csv')
np.savetxt(cut_data_span_filename, Y, header=header, delimiter=',')
if IS_MATPLOTLIB and (plot or show):
plot_inertia(y, A, I, J, EI, GJ, avg_centroid, show=show, dirname=dirname)
else:
plane_bdf_filenames = []
return y, A, I, J, EI, GJ, avg_centroid, plane_bdf_filenames
