def test_bad_01(self):
model = BDF(debug=False, log=None)
bdfname = os.path.join(testpath, 'test_mass.dat')
model.read_bdf(bdfname, include_dir=None, xref=True)
# this passes silently
print(model.elements[['cat']])
# this does not
with self.assertRaises(TypeError):
print(model.elements[None])
#print(model.get_elements('cat'))
with self.assertRaises(KeyError):
model.get_elements('cat')
def test_mass_solid_1(self): # passes
model = BDF(debug=False, log=None)
bdfname = os.path.join(testpath, 'test_mass.dat')
model.read_bdf(bdfname, include_dir=None, xref=True)
# hexa - psolid - nsm = 0
#print(model.elements[7:8])
#print(model.elements[[7,8]])
model.elements[7:9]
model.elements[7:9:2]
model.elements[1:100]
#hexa = model.get_elements(7)
#hexa = model.get_elements(7)
#print(hexa)
hexa = model.elements[7]
mass = 0.2
volume = 2. # l * w * h = 1 * 1 * 2
rho = 0.1
E = 1.0
G = 2.0
nu = 3.0
centroid = array([0.5, 0.5, 1.0])
self.verify_psolid_element(hexa, mass, volume, centroid, rho, E, G, nu)
# tetra - psolid
tetra = model.get_elements(8)
mass = 1/30.
volume = 1/3. # 1/3 * b * h = 1/3 * 0.5 * 2.0
rho = 0.1
E = 1.0
G = 2.0
nu = 3.0
centroid = array([0.5, 0.25, 0.5])
self.verify_psolid_element(tetra[0], mass, volume, centroid, rho, E, G, nu)
# penta - psolid
penta = model.get_elements(9)
mass = 0.1
volume = 1.0 # b * h = 0.5 * 2
rho = 0.1
E = 1.0
G = 2.0
nu = 3.0
centroid = array([2/3., 1/3., 1.])
self.verify_psolid_element(penta[0], mass, volume, centroid, rho, E, G, nu)
