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newmark.py
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Sun, Nov 10, 04:18

newmark.py
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#!/usr/bin/python
################################################################
import os
import subprocess
import numpy as np
import akantu
################################################################
class FixedValue:
def __init__(self, value, axis):
self.value = value
if axis == 'x':
axis = 0
if axis == 'y':
axis = 1
self.axis = axis
def operator(self, node, flags, disp, coord):
# sets the displacement to the desired value in the desired axis
disp[self.axis] = self.value
# sets the blocked dofs vector to true in the desired axis
flags[self.axis] = True
################################################################
class LocalElastic:
def __init__(self):
## young modulus
self.E = 1
## Poisson coefficient
self.nu = 0.3
## density
self.rho = 1
## First Lame coefficient
self._lambda = self.nu * self.E / ((1 + self.nu) * (1 - 2*self.nu))
## Second Lame coefficient (shear modulus)
self.mu = self.E / (2 * (1 + self.nu));
## declares all the internals
def registerInternals(self):
return []
## declares all the parameters that could be parsed
def registerParam(self):
return []
## declares all the parameters that are needed
def getPushWaveSpeed(self):
return np.sqrt((self._lambda + 2*self.mu)/self.rho);
## constitutive law for a given quadrature point
def computeStress(self,grad_u,sigma,internals):
lbda = 1.
mu = 1.
trace = grad_u.trace()
sigma[:, :] = lbda*trace*np.eye(2) + mu * (grad_u + grad_u.T)
################################################################
def main():
spatial_dimension = 2
Lbar = 10.
akantu.initialize('material.dat')
mesh_file = 'bar.msh'
max_steps = 250
time_step = 1e-3
#if mesh was not created the calls gmsh to generate it
if not os.path.isfile(mesh_file):
ret = subprocess.call('gmsh -2 bar.geo bar.msh', shell=True)
if ret != 0:
raise Exception('execution of GMSH failed: do you have it installed ?')
################################################################
## Initialization
################################################################
mesh = akantu.Mesh(spatial_dimension)
mesh.read(mesh_file)
mesh.createGroupsFromStringMeshData("physical_names")
model = akantu.SolidMechanicsModel(mesh)
model.initFull(akantu.SolidMechanicsModelOptions(akantu._explicit_lumped_mass, True))
mat = LocalElastic()
model.registerNewPythonMaterial(mat, "local_elastic")
model.initMaterials()
model.setBaseName("waves")
model.addDumpFieldVector("displacement")
model.addDumpFieldVector("acceleration")
model.addDumpFieldVector("velocity")
model.addDumpField("blocked_dofs")
################################################################
## Boundary conditions
################################################################
residual = model.getResidual()
mass = model.getMass()
displacement = model.getDisplacement()
acceleration = model.getAcceleration()
velocity = model.getVelocity()
blocked_dofs = model.getBlockedDOFs()
################################################################
## boundary conditions
################################################################
model.applyDirichletBC(FixedValue(0, 'x'), "XBlocked")
model.applyDirichletBC(FixedValue(0, 'y'), "YBlocked")
################################################################
## initial conditions
################################################################
nb_nodes = mesh.getNbNodes()
position = mesh.getNodes()
pulse_width = 1
A = 0.01
for i in range(0, nb_nodes):
# Sinus * Gaussian
x = position[i, 0] - 5.
L = pulse_width
k = 0.1 * 2 * np.pi * 3 / L
displacement[i, 0] = A * np.sin(k * x) * np.exp(-(k * x) * (k * x) / (L * L))
################################################################
## timestep value computation
################################################################
time_factor = 0.8
stable_time_step = model.getStableTimeStep() * time_factor
print "Stable Time Step = {0}".format(stable_time_step)
print "Required Time Step = {0}".format(time_step)
time_step = stable_time_step * time_factor
model.setTimeStep(time_step)
################################################################
## loop for evolution of motion dynamics
################################################################
model.updateResidual()
epot = model.getEnergy('potential')
ekin = model.getEnergy('kinetic')
print "step,step * time_step,epot,ekin,epot + ekin"
for step in range(0, max_steps+1):
model.dump()
## output energy calculation to screen
print "{0},{1},{2},{3},{4}".format(step, step * time_step,
epot, ekin,
(epot + ekin))
model.solveStep()
akantu.finalize()
return
################################################################
if __name__ == "__main__":
main()

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