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gear_scheme.py
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gear_scheme.py
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from __future__ import print_function, absolute_import, division
from numpy import *
from pyKratos import *
class GearScheme:
'''this is an INCREMENTAL scheme, designed to handle a correction of a predicted value
it is designed so to handle both the linear and non-linear case
the fundamental idea is that a second order backward differenci formula is used both for the velocity and
for the displacements (this last one, if needed)
If we call
vn0 the velocity at the current step
vn1 the velocity one step in the past
vn2 the velocity two steps in the past
dn0 the displacemnt at the current step
dn1 the displacemnt one step in the past
dn2 the displacemnt two steps in the past
than we assume
d(vn0)/dt |tn0 = c0*vn0 + c1*vn1 + c2*vn2
d(dn0)/dt |tn0 = c0*dn0 + c1*dn1 + c2*dn2
with
c0 = 1.5/dt #3/(2dt)
c1 = -2.0/dt
c2 = 0.5/dt
this scheme is designed to solve a system of the type
M*d(vn0)/dt + D*vn0 + K*dn0 = fext
the scheme provides a "guess" (prediction) of the values of vn0,dn0
on the basis of this elements are expected to give back
RHS = fext - M*d(vn0)/dt - D*vn0 - K*dn0
and
LHS = d(RHS)/d(vn0) = c0*M + D + (1/c0)*K
NOTE: this implies that elements are expected to be written in terms
of unknown VELOCITIES
NOTE 2: only nodes marked as "IS_LAGRANGIAN" (node.GetSolutionStepValue(IS_LAGRANGIAN)==True)
##will be moved
'''
def __init__(self, model_part):
self.model_part = model_part
def CalculateLocalSystem(self, elem):
return elem.CalculateLocalSystem(self.model_part.ProcessInfo)
def EquationId(self, elem):
return elem.EquationId()
#compute the BDF coefficients c0, c1, c2 to be used in the computations
#such coefficients are stored in a vector BDFvector = (c0,c1,c2)
def ComputeBDFCoefficients(self):
dt = self.model_part.ProcessInfo[DELTA_TIME]
if(dt == 0):
raise Exception("Dt can not be zero!!")
c0 = 1.5/dt #3/(2dt)
c1 = -2.0/dt
c2 = 0.5/dt
self.model_part.ProcessInfo.update( {BDF_COEFFICIENTS: array( [c0,c1,c2] ) } )
def Predict(self):
self.ComputeBDFCoefficients()
#do a prediction of the velocity and of the displacement at at the next step
for node in self.model_part.NodeIterators():
if node.IsFixed(VELOCITY_X)==False:
#predict component x of velocity
vn1 = node.GetSolutionStepValue(VELOCITY_X,1)
vn2 = node.GetSolutionStepValue(VELOCITY_X,2)
vn0 = 2.0*vn1-vn2
node.SetSolutionStepValue(VELOCITY_X,0,vn0)
if node.IsFixed(VELOCITY_Y)==False:
#predict component y of velocity
vn1 = node.GetSolutionStepValue(VELOCITY_Y,1)
vn2 = node.GetSolutionStepValue(VELOCITY_Y,2)
vn0 = 2.0*vn1-vn2
node.SetSolutionStepValue(VELOCITY_Y,0,vn0)
self.UpdateDisplacements(self.model_part.NodeIterators())
def UpdateDisplacements(self,nodes):
coeffs = self.model_part.ProcessInfo[BDF_COEFFICIENTS]
c0 = coeffs[0]
c1 = coeffs[1]
c2 = coeffs[2]
for node in nodes:
if(node.GetSolutionStepValue(IS_LAGRANGIAN,0) == True):
#update component x of displacement
dn1 = node.GetSolutionStepValue(DISPLACEMENT_X,1)
dn2 = node.GetSolutionStepValue(DISPLACEMENT_X,2)
vn0 = node.GetSolutionStepValue(VELOCITY_X,0)
dn0 = 1.0/c0*(vn0 - c1*dn1-c2*dn2)
node.SetSolutionStepValue(DISPLACEMENT_X,0,dn0)
#update component y of displacement
dn1 = node.GetSolutionStepValue(DISPLACEMENT_Y,1)
dn2 = node.GetSolutionStepValue(DISPLACEMENT_Y,2)
vn0 = node.GetSolutionStepValue(VELOCITY_Y,0)
dn0 = 1.0/c0*(vn0 - c1*dn1-c2*dn2)
node.SetSolutionStepValue(DISPLACEMENT_Y,0,dn0)
def Update(self, dofset, dx):
# here we do x = old_value + dx
#this is expected to update VELOCITY (and eventually other quantities)
#so after this loop the value VELOCITY has the "final" value (of the iteration)
for dof, value in zip(dofset, dx):
if dof.IsFixed() == False:
old_value = dof.GetValue()
dof.SetValue(old_value + value)
#update displacements following BDF2 formula
self.UpdateDisplacements(self.model_part.NodeIterators())