def test1():
cc = ConeCyl()
cc.laminaprop = (123.55e3 , 8.708e3, 0.319, 5.695e3, 5.695e3, 5.695e3)
cc.stack = [0, 0, 19, -19, 37, -37, 45, -45, 51, -51]
cc.plyt = 0.125
cc.r2 = 250.
cc.H = 510.
cc.alphadeg = 0.
cc.m1 = 120
cc.m2 = 15
cc.n2 = 15
cc.thetaT = None
cc.Fc = 1.
cc.pdC = False
cc.add_SPL(10.)
cc.model = 'clpt_donnell_bc1'
cc.lb()
cc.Fc = cc.eigvals[0]
cc.plot(cc.eigvecs[:,0])
cc.Fc = 100.
regions_conditions(cc, 'k0L')
def test1():
cc = ConeCyl()
cc.laminaprop = (123.55e3, 8.708e3, 0.319, 5.695e3, 5.695e3, 5.695e3)
cc.stack = [0, 0, 19, -19, 37, -37, 45, -45, 51, -51]
cc.plyt = 0.125
cc.r2 = 250.
cc.H = 510.
cc.alphadeg = 0.
cc.m1 = 120
cc.m2 = 15
cc.n2 = 15
cc.thetaT = None
cc.Fc = 1.
cc.pdC = False
cc.add_SPL(10.)
cc.model = 'clpt_donnell_bc1'
cc.lb()
cc.Fc = cc.eigvals[0]
cc.plot(cc.eigvecs[:, 0])
cc.Fc = 100.
regions_conditions(cc, 'k0L')
def convergence_nx_nt():
'''It was selected a hypothetical cone with the laminate of cylinder
Z33 and a semi-vertex angle of 35.
The data generated from this function is used to define the dictionary
`nx_nt_table` inside `ConeCyl.rebuild()`.
For simplification, it is assumed `m1=m2=n2`.
'''
cc = ConeCyl()
cc.laminaprop = (123.55e3 , 8.708e3, 0.319, 5.695e3, 5.695e3, 5.695e3)
cc.stack = [0, 0, 19, -19, 37, -37, 45, -45, 51, -51]
cc.plyt = 0.125
cc.r2 = 250.
cc.H = 510.
cc.alphadeg = 35.
cc.linear_kinematics='clpt_donnell'
cc.NL_kinematics='donnell_numerical'
cc.Fc = 200000
cc.initialInc = 0.2
cc.minInc = 1.e-3
cc.modified_NR = False
cc.compute_every_n = 10
cc.pd = False
PLs = [5, 20, 30, 45, 60, 70, 80]
PLs = [90]
for n in [20, 25, 30, 35]:
cc.m1 = cc.m2 = cc.n2 = n
for nt in [60, 80, 100, 120]:
cc.nx = cc.nt = nt
print cProfile.runctx('curves = cc.SPLA(PLs, NLgeom=True)',
globals(), locals(), 'tester.prof')
def convergence_nx_nt():
'''It was selected a hypothetical cone with the laminate of cylinder
Z33 and a semi-vertex angle of 35.
The data generated from this function is used to define the dictionary
`nx_nt_table` inside `ConeCyl.rebuild()`.
For simplification, it is assumed `m1=m2=n2`.
'''
cc = ConeCyl()
cc.laminaprop = (123.55e3, 8.708e3, 0.319, 5.695e3, 5.695e3, 5.695e3)
cc.stack = [0, 0, 19, -19, 37, -37, 45, -45, 51, -51]
cc.plyt = 0.125
cc.r2 = 250.
cc.H = 510.
cc.alphadeg = 35.
cc.linear_kinematics = 'clpt_donnell'
cc.NL_kinematics = 'donnell_numerical'
cc.Fc = 200000
cc.initialInc = 0.2
cc.minInc = 1.e-3
cc.modified_NR = False
cc.compute_every_n = 10
cc.pd = False
PLs = [5, 20, 30, 45, 60, 70, 80]
PLs = [90]
for n in [20, 25, 30, 35]:
cc.m1 = cc.m2 = cc.n2 = n
for nt in [60, 80, 100, 120]:
cc.nx = cc.nt = nt
print(
cProfile.runctx('curves = cc.SPLA(PLs, NLgeom=True)',
globals(), locals(), 'tester.prof'))
from numpy import deg2rad
from compmech.conecyl import ConeCyl
if __name__ == '__main__':
cc = ConeCyl()
cc.name = 'z33'
cc.laminaprop = (123.55e3 , 8.708e3, 0.319, 5.695e3, 5.695e3, 5.695e3)
cc.stack = [0, 0, 19, -19, 37, -37, 45, -45, 51, -51]
cc.plyt = 0.125
cc.r2 = 250.
cc.H = 510.
cc.alphadeg = 0
cc.m1 = cc.m2 = cc.n2 = 40
cc.pdC = False
cc.Fc = 2000.
cc.add_SPL(0.4, pt=0.25, theta=deg2rad(-30))
cc.add_SPL(0.4, pt=0.25, theta=deg2rad(-60))
cc.add_SPL(0.4, pt=0.25, theta=deg2rad(-90))
cc.add_SPL(0.3, pt=0.25, theta=deg2rad(-120))
cc.add_SPL(0.3, pt=0.5, theta=deg2rad(-120))
cc.add_SPL(0.3, pt=0.75, theta=deg2rad(-120))
cc.add_SPL(0.4, pt=0.75, theta=deg2rad(-90))
cc.add_SPL(0.4, pt=0.75, theta=deg2rad(-60))
cc.add_SPL(0.4, pt=0.75, theta=deg2rad(-30))
cc.add_SPL(0.5, pt=0.75, theta=deg2rad(30))
cc.add_SPL(0.4, pt=0.50, theta=deg2rad(30))
