def test_panel_field_outputs():
m = 7
n = 6
#TODO implement for conical panels
strain_field = dict(exx=None, eyy=None, gxy=None, kxx=None, kyy=None, kxy=None)
stress_field = dict(Nxx=None, Nyy=None, Nxy=None, Mxx=None, Myy=None, Mxy=None)
for model in ['plate_clt_donnell_bardell',
'cpanel_clt_donnell_bardell']:
p = Panel()
p.model = model
p.u1tx = 1
p.u1ty = 1
p.u2ty = 1
p.v1tx = 0
p.v2tx = 0
p.v1ty = 0
p.v2ty = 0
p.a = 2.
p.b = 1.
p.r = 1.e5
p.stack = [0, -45, +45, 90, +45, -45, 0, 0]
p.plyt = 1e-3*0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.nx = m
p.ny = n
p.m = m
p.n = n
P = 1000.
npts = 100
p.forces_inc = []
for y in np.linspace(0, p.b, npts):
p.forces_inc.append([0., y, P/(npts-1.), 0, 0])
p.forces_inc[0][2] /= 2.
p.forces_inc[-1][2] /= 2.
p.static()
c = p.analysis.cs[0]
Ns = p.stress(c, gridx=50, gridy=50)
es = p.strain(c, gridx=50, gridy=50)
for k, v in strain_field.items():
if v is None:
strain_field[k] = es.get(k).min()
else:
assert np.isclose(strain_field[k], es.get(k).min(), rtol=0.05)
p.plot(c, vec=k, filename='tmp_test_panel_strain_field_%s.png' % k)
for k, v in stress_field.items():
if v is None:
stress_field[k] = Ns.get(k).min()
else:
assert np.isclose(stress_field[k], Ns.get(k).min(), rtol=0.05)
p.plot(c, vec=k, filename='tmp_test_panel_stress_field_%s.png' % k)
def test_fint():
m = 6
n = 6
for model in ['plate_clt_donnell_bardell',
'cpanel_clt_donnell_bardell'
]:
p = Panel()
p.model = model
p.w1tx = 0
p.w1rx = 1
p.u1tx = 1
p.u1ty = 1
p.u2ty = 1
p.a = 2.
p.b = 1.
p.r = 1.e5
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3*0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.nx = m
p.ny = n
p.m = m
p.n = n
P = 1000.
npts = 100
p.forces_inc = []
for y in np.linspace(0, p.b, npts):
p.forces_inc.append([0., y, P/(npts-1.), 0, 0])
p.forces_inc[0][2] /= 2.
p.forces_inc[-1][2] /= 2.
p.forces.append([p.a/2., p.b/2., 0, 0, 0.001])
p.static(NLgeom=True, silent=True)
c = p.analysis.cs[0]
p.plot(c, vec='w', filename='tmp_test_non_linear.png', colorbar=True)
p.uvw(p.analysis.cs[0])
assert np.isclose(p.w.max(), 0.000144768080125, rtol=0.001)
def test_kT():
mns = [[4, 4], [4, 5], [4, 6], [5, 5], [5, 6], [6, 6],
[8, 9], [9, 8]]
for m, n in mns:
for model in ['plate_clt_donnell_bardell',
'cpanel_clt_donnell_bardell']:
p = Panel()
p.model = model
p.w1tx = 0
p.u1tx = 1
p.u1ty = 1
p.u2ty = 1
p.a = 2.
p.b = 0.5
p.r = 10
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3*0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.m = m
p.n = n
p.nx = m
p.ny = n
P = 1000.
npts = 5
p.forces_inc = []
for y in np.linspace(0, p.b, npts):
p.forces_inc.append([0., y, P/(npts-1.), 0, 0])
p.forces_inc[0][2] /= 2.
p.forces_inc[-1][2] /= 2.
k0 = p.calc_k0(silent=True)
kT = p.calc_kT(c=np.zeros(p.get_size()), silent=True)
error = np.abs(kT-k0).sum()
assert error < 1.e-7
def test_kT():
mns = [[4, 4], [4, 5], [4, 6], [5, 5], [5, 6], [6, 6], [8, 9], [9, 8]]
for m, n in mns:
for model in [
'plate_clt_donnell_bardell', 'cpanel_clt_donnell_bardell'
]:
p = Panel()
p.model = model
p.w1tx = 0
p.u1tx = 1
p.u1ty = 1
p.u2ty = 1
p.a = 2.
p.b = 0.5
p.r = 10
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3 * 0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.m = m
p.n = n
p.nx = m
p.ny = n
P = 1000.
npts = 5
p.forces_inc = []
for y in np.linspace(0, p.b, npts):
p.forces_inc.append([0., y, P / (npts - 1.), 0, 0])
p.forces_inc[0][2] /= 2.
p.forces_inc[-1][2] /= 2.
k0 = p.calc_k0(silent=True)
kT = p.calc_kT(c=np.zeros(p.get_size()), silent=True)
error = np.abs(kT - k0).sum()
assert error < 1.e-7
def test_fint():
m = 6
n = 6
for model in ['plate_clt_donnell_bardell', 'cpanel_clt_donnell_bardell']:
p = Panel()
p.model = model
p.w1tx = 0
p.w1rx = 1
p.u1tx = 1
p.u1ty = 1
p.u2ty = 1
p.a = 2.
p.b = 1.
p.r = 1.e5
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3 * 0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.nx = m
p.ny = n
p.m = m
p.n = n
P = 1000.
npts = 100
p.forces_inc = []
for y in np.linspace(0, p.b, npts):
p.forces_inc.append([0., y, P / (npts - 1.), 0, 0])
p.forces_inc[0][2] /= 2.
p.forces_inc[-1][2] /= 2.
p.forces.append([p.a / 2., p.b / 2., 0, 0, 0.001])
p.static(NLgeom=True, silent=True)
c = p.analysis.cs[0]
p.plot(c, vec='w', filename='tmp_test_non_linear.png', colorbar=True)
p.uvw(p.analysis.cs[0])
assert np.isclose(p.w.max(), 0.000144768080125, rtol=0.001)
