def ebc_sin(ts, coors, **kwargs):
val = 0.01 * nm.sin(2.0*nm.pi*ts.nt)
return nm.tile(val, (coors.shape[0],))
equations = {
'balance_of_forces in time' :
"""dw_volume_dot.i.Omega( solid.c, v, du/dt )
+ dw_lin_elastic_iso.i.Omega( solid.lam, solid.mu, v, u ) = 0""",
}
solvers = deepcopy(solvers) # Do not spoil linear_elastic.py namespace in tests.
solvers.update({
'ts' : ('ts.adaptive', {
't0' : 0.0,
't1' : 1.0,
'dt' : None,
'n_step' : 101,
'adapt_fun' : 'adapt_time_step',
}),
})
def adapt_time_step(ts, status, adt, problem):
if ts.time > 0.5:
ts.set_time_step(0.1)
return True
ls = solvers['ls']
ls[1].update({'presolve' : True})
functions = {
def ebc_sin(ts, coors, **kwargs):
val = 0.01 * nm.sin(2.0*nm.pi*ts.nt)
return nm.tile(val, (coors.shape[0],))
functions = {
'ebc_sin' : (ebc_sin,),
}
equations = {
'balance_of_forces in time' :
"""dw_volume_dot.i1.Omega( solid.c, v, du/dt )
+ dw_lin_elastic_iso.i1.Omega( solid.lam, solid.mu, v, u ) = 0""",
}
solvers.update({
'ts' : ('ts.simple',
{'t0' : 0.0,
't1' : 1.0,
'dt' : None,
'n_step' : 101
}),
})
# Pre-assemble and factorize the matrix prior to time-stepping.
newton = solvers['newton']
newton[1].update({'problem' : 'linear'})
ls = solvers['ls']
ls[1].update({'presolve' : True})
def ebc_sin(ts, coors, bc=None):
val = 0.01 * nm.sin(2.0*nm.pi*ts.nt)
return nm.tile(val, (coors.shape[0],))
functions = {
'ebc_sin' : (ebc_sin,),
}
equations = {
'balance_of_forces in time' :
"""dw_mass_vector.i1.Omega( solid.rho, v, du/dt )
+ dw_lin_elastic_iso.i1.Omega( solid.lam, solid.mu, v, u ) = 0""",
}
solvers.update({
'ts' : ('ts.simple',
{'t0' : 0.0,
't1' : 1.0,
'dt' : None,
'n_step' : 101
}),
})
# Pre-assemble and factorize the matrix prior to time-stepping.
newton = solvers['newton']
newton[1].update({'problem' : 'linear'})
ls = solvers['ls']
ls[1].update({'presolve' : True})
return nm.tile(val, (coors.shape[0], ))
equations = {
'balance_of_forces in time':
"""dw_volume_dot.i.Omega( solid.c, v, du/dt )
+ dw_lin_elastic_iso.i.Omega( solid.lam, solid.mu, v, u ) = 0""",
}
solvers = deepcopy(
solvers) # Do not spoil linear_elastic.py namespace in tests.
solvers.update({
'ts': ('ts.adaptive', {
't0': 0.0,
't1': 1.0,
'dt': None,
'n_step': 101,
'adapt_fun': 'adapt_time_step',
}),
})
def adapt_time_step(ts, status, adt, problem):
if ts.time > 0.5:
ts.set_time_step(0.1)
return True
ls = solvers['ls']
ls[1].update({'presolve': True})
