def create_solver(self):
kernel = WendlandQuintic(dim=2)
self.wdeltap = kernel.kernel(rij=dx, h=hdx * dx)
integrator = PECIntegrator(bar=SolidMechStep())
solver = Solver(kernel=kernel, dim=2, integrator=integrator)
dt = 1e-9
tf = 2.5e-5
solver.set_time_step(dt)
solver.set_final_time(tf)
return solver
def create_particles(self):
bar = get_bar_particles()
plate = get_plate_particles()
# add requisite properties
# velocity gradient for the bar
for name in ('v00', 'v01', 'v02', 'v10', 'v11', 'v12', 'v20', 'v21',
'v22'):
bar.add_property(name)
# deviatoric stress components
for name in ('s00', 's01', 's02', 's11', 's12', 's22'):
bar.add_property(name)
# deviatoric stress accelerations
for name in ('as00', 'as01', 'as02', 'as11', 'as12', 'as22'):
bar.add_property(name)
# deviatoric stress initial values
for name in ('s000', 's010', 's020', 's110', 's120', 's220'):
bar.add_property(name)
bar.add_property('e0')
# artificial stress properties
for name in ('r00', 'r01', 'r02', 'r11', 'r12', 'r22'):
bar.add_property(name)
# standard acceleration variables and initial values.
for name in ('arho', 'au', 'av', 'aw', 'ax', 'ay', 'az', 'ae', 'rho0',
'u0', 'v0', 'w0', 'x0', 'y0', 'z0', 'e0'):
bar.add_property(name)
bar.add_constant('G', G)
bar.add_constant('n', 4)
kernel = WendlandQuintic(dim=2)
wdeltap = kernel.kernel(rij=dx, h=hdx * dx)
bar.add_constant('wdeltap', wdeltap)
return [bar, plate]
for name in ('r00', 'r01', 'r11'):
bar.add_property(name)
# standard acceleration variables and initial values.
for name in ('arho', 'au', 'av', 'aw', 'ax', 'ay', 'az', 'ae',
'rho0', 'u0', 'v0', 'w0', 'x0', 'y0', 'z0', 'e0'):
bar.add_property(name)
return [bar, plate]
# create the Application
app = Application()
# kernel
kernel = WendlandQuintic(dim=2)
wdeltap = kernel.kernel(rij=dx, h=hdx*dx)
# integrator
integrator = PECIntegrator(bar=SolidMechStep())
# Create a solver
solver = Solver(kernel=kernel, dim=2, integrator=integrator)
# default parameters
dt = 1e-9
tf = 2.5e-5
solver.set_time_step(dt)
solver.set_final_time(tf)
# add the equations
equations = [
# get list of neighbors
nps.get_nearest_particles(0, 0, i, nbrs)
neighbors = nbrs.get_npy_array()
max_ngb = max( neighbors.size, max_ngb )
# iterate over the neighbor set
rho_sum = 0.0; wij_sum = 0.0
for j in neighbors:
xij = xi - x[j]
yij = yi - y[j]
rij = numpy.sqrt( xij**2 + yij**2 )
hij = 0.5 * (h[i] + h[j])
_wij = k.kernel( [xij, yij, 0.0], rij, hij)
# contribution from this neibhor
wij_sum += _wij
rho_sum += m[j] * _wij
# total contribution to the density and number density
pa.rho[i] = rho_sum
pa.wij[i] = wij_sum
t2 = time()-t1
avg_density = numpy.sum(pa.rho)/pa.num_real_particles
print '2D Summation density: %d particles %g seconds, Max %d neighbors'%(pa.num_real_particles, t2, max_ngb)
print """Average density = %g, Relative error = %g"""%(avg_density, (1-avg_density)*100), '%'
nps.get_nearest_particles(0, 0, i, nbrs)
neighbors = nbrs.get_npy_array()
max_ngb = max(neighbors.size, max_ngb)
# iterate over the neighbor set
rho_sum = 0.0
wij_sum = 0.0
for j in neighbors:
xij = xi - x[j]
yij = yi - y[j]
rij = numpy.sqrt(xij**2 + yij**2)
hij = 0.5 * (h[i] + h[j])
_wij = k.kernel([xij, yij, 0.0], rij, hij)
# contribution from this neibhor
wij_sum += _wij
rho_sum += m[j] * _wij
# total contribution to the density and number density
pa.rho[i] = rho_sum
pa.wij[i] = wij_sum
t2 = time() - t1
avg_density = numpy.sum(pa.rho) / pa.num_real_particles
print('2D Summation density: %d particles %g seconds, Max %d neighbors' %
(pa.num_real_particles, t2, max_ngb))
print(
