def reset_parameters(self):
#Resets state variables to initial ones
self.parameters = initialise.get_parameters()
def main(params):
"""This is the main loop which is repeated every timestep. Currently, this follows the Update Strain Last paradigm (does it?!?).
:param mode: The name of the input file to use.
:type mode: str
:returns: int -- The return code.
"""
P, G, L = initialise.get_parameters(params)
plot = Plotting()
# if P.O.plot_material_points: plot.draw_material_points(L,P,G,'initial')
while P.t <= P.t_f: # Time march
G.wipe(P) # Discard previous grid
P.update_forces() # update time dependent gravity
L.update_forces(P, G) # pass body forces to material points
L.get_reference_node(P, G) # Find node down and left
L.get_basis_functions(P, G) # Make basis functions
if P.O.check_positions:
L.recover_position(P, G) # check basis functions
L.get_nodal_mass_momentum(P, G) # Initialise from grid state
if P.B.cyclic_lr:
# G.apply_cyclic_BCs(P)
G.make_cyclic(P, G, ['m', 'q'])
L.update_stress_strain(P, G) # Update stress and strain
L.get_nodal_forces(P, G) # Compute internal and external forces
G.BCs(P) # Add external forces from BCs
G.update_momentum(P) # Compute rate of momentum and update nodes
G.calculate_gammadot(P, G)
if P.segregate_grid:
G.calculate_grad_gammadot(P, G)
G.calculate_phi_increment(P)
L.move_grainsize_on_grid(P, G)
L.move_material_points(
P, G) # Update material points (position and velocity)
# Move/Remove any particles that have left the grid
if P.B.outlet_left: L.outlet_left(P, G)
if P.B.outlet_bottom: L.outlet_bottom(P, G)
if P.B.inlet_right: L.inlet_right(P, G)
if P.B.cyclic_lr: L.cyclic_lr(P, G)
# Output related things
if P.O.measure_energy:
P.O.energy[P.tstep] = L.measure_elastic_energy(P,
G) # measure energy
print('{0:.4f}'.format(P.t * 100. / P.t_f) + '% Complete, t = ' +
'{0:.4f}'.format(P.t) + ', g = ' + str(P.g),
end='\r')
if P.t % P.savetime < P.dt:
if P.O.plot_gsd_mp: plot.draw_gsd_mp(L, P, G)
if P.O.plot_gsd_grid: plot.draw_gsd_grid(L, P, G)
# plot.draw_voronoi(P,G)
if P.O.plot_continuum: plot.draw_continuum(G, P)
if P.O.plot_material_points: plot.draw_material_points(L, P, G)
if P.mode == 'anisotropy': plot.draw_gamma_dot(L, P, G)
if P.O.measure_energy: P.O.measure_E(P, L)
if P.O.save_u: plot.save_u(L, P, G)
if P.O.save_s_bar: plot.save_s_bar(L, P, G)
if P.mode == 'dp_unit_test' or P.mode == 'dp_rate_unit_test':
P.O.store_p_q(P, G, L, P.tstep)
if P.mode == 'pouliquen_unit_test': P.O.store_mu(P, G, L, P.tstep)
# Increment time
P.t += P.dt
P.tstep += 1
# for p in range(P.phases):
# if (P.S[p].law is 'von_mises' or P.S[p].law is 'dp') and not P.has_yielded:
# if P.S[p].law is 'von_mises' and not P.has_yielded:
# L.update_timestep(P) # Check for yielding and reduce timestep
# Final things to do
if P.O.plot_material_points: plot.draw_material_points(L, P, G, 'final')
if P.O.measure_stiffness: P.O.measure_E(P, L)
if P.O.measure_energy: plot.draw_energy(P)
if P.O.plot_gsd_mp: plot.draw_gsd_mp(L, P, G)
if P.O.plot_gsd_grid: plot.draw_gsd_grid(L, P, G)
if P.O.save_u: plot.save_u(L, P, G)
if P.O.save_s_bar: plot.save_s_bar(L, P, G)
if P.mode == 'dp_unit_test' or P.mode == 'dp_rate_unit_test':
P.O.draw_p_q(P, G, L, plot, P.tstep)
if P.mode == 'pouliquen_unit_test': P.O.draw_mu(P, G, L, plot, P.tstep)
print('')
return 0
flux[boundary] = 0
return flux #, boundary
def increment_grainsize(P, G):
return KT(P, G, 0) + KT(P, G, 1)
# return NT(P,G,0) + NT(P,G,1)
if __name__ == "__main__":
import initialise
from numpy import random, maximum, ones
from plotting import Plotting
plot = Plotting()
P, G, L = initialise.get_parameters(['bi_seg_test', '22', '2'])
G.wipe(P)
L.get_reference_node(P, G) # Find node down and left
L.get_basis_functions(P, G) # Make basis functions
L.get_nodal_mass_momentum(P, G) # Initialise from grid state
plot.draw_gsd_grid(L, P, G)
G.grad_gammadot = -1. * ones([P.G.ny * P.G.nx, 3])
# G.grad_gammadot[:,1] = 0
# P.dt *= 10
# G.phi = zeros_like(G.phi)
# G.phi[40:120,0] = 0.5
# G.phi[:,1] = 1- G.phi[:,0]
# G.phi[40:100,1] = 0
# P.c *= 100
while P.t <= P.t_f:
def main(params):
"""This is the main loop which is repeated every timestep. Currently, this follows the Update Strain Last paradigm (does it?!?).
:param mode: The name of the input file to use.
:type mode: str
:returns: int -- The return code.
"""
P,G,L = initialise.get_parameters(params)
plot = Plotting()
# if P.O.plot_material_points: plot.draw_material_points(L,P,G,'initial')
while P.t <= P.t_f:# Time march
G.wipe(P) # Discard previous grid
P.update_forces() # update time dependent gravity
L.update_forces(P,G) # pass body forces to material points
L.get_reference_node(P,G) # Find node down and left
L.get_basis_functions(P,G) # Make basis functions
if P.O.check_positions: L.recover_position(P,G) # check basis functions
L.get_nodal_mass_momentum(P,G) # Initialise from grid state
if P.B.cyclic_lr: G.make_cyclic(P,G,['m','q'])
L.update_stress_strain(P,G) # Update stress and strain
L.get_nodal_forces(P,G) # Compute internal and external forces
G.BCs(P) # Add external forces from BCs
G.update_momentum(P) # Compute rate of momentum and update nodes
G.calculate_gammadot(P,G)
if P.segregate_grid:
G.update_pk(P,G) # NOTE: THIS IS BRAND NEW AND PROBABLY BROKEN
#if P.B.cyclic_lr: G.make_cyclic(P,G,['phi','pk','s_bar'])
# if P.B.cyclic_lr: G.make_cyclic(P,G,['pk'])
# G.calculate_grad_gammadot(P,G)
G.calculate_phi_increment(P)
L.move_grainsize_on_grid(P,G)
G.make_cyclic(P,G,['eta','dphi'])
L.move_material_points(P,G) # Update material points (position and velocity)
# Move/Remove any particles that have left the grid
if P.B.outlet_left: L.outlet_left(P,G)
if P.B.outlet_bottom: L.outlet_bottom(P,G)
if P.B.inlet_right: L.inlet_right(P,G)
if P.B.inlet_top: L.inlet_top(P,G)
if P.B.cyclic_lr: L.cyclic_lr(P,G)
# Output related things
if P.O.measure_energy: P.O.energy[P.tstep] = L.measure_elastic_energy(P,G) # measure energy
print('{0:.4f}'.format(P.t*100./P.t_f) + '% Complete, t = ' +
'{0:.4f}'.format(P.t) + ', g = ' + str(P.g), end='\r')
if P.t%P.savetime < P.dt:
if P.O.plot_gsd_mp: plot.draw_gsd_mp(L,P,G)
if P.O.plot_gsd_grid: plot.draw_gsd_grid(L,P,G)
# plot.draw_voronoi(P,G)
if P.O.plot_continuum: plot.draw_continuum(G,P)
if P.O.plot_material_points: plot.draw_material_points(L,P,G)
if P.mode == 'anisotropy': plot.draw_gamma_dot(L,P,G)
if P.O.measure_energy: P.O.measure_E(L,P,G)
# for [field,fieldname] in P.O.save_fields: P.O.save_field(L,P,G,field,fieldname)
if P.O.save_u: plot.save_u(L,P,G)
if P.O.save_s_bar: plot.save_s_bar(L,P,G)
if P.O.save_density: plot.save_density(L,P,G)
if P.mode == 'dp_unit_test' or P.mode == 'dp_rate_unit_test': P.O.store_p_q(P,G,L,P.tstep)
if P.mode == 'pouliquen_unit_test': P.O.store_mu(P,G,L,P.tstep)
# Increment time
P.t += P.dt
P.tstep += 1
if P.time_stepping == 'dynamic': P.update_timestep(P,G)
# for p in range(P.phases):
# if (P.S[p].law is 'von_mises' or P.S[p].law is 'dp') and not P.has_yielded:
# if P.S[p].law is 'von_mises' and not P.has_yielded:
# L.update_timestep(P) # Check for yielding and reduce timestep
# Final things to do
if P.O.plot_material_points: plot.draw_material_points(L,P,G,'final')
if P.O.measure_stiffness: P.O.measure_E(L,P,G)
if P.O.measure_energy: plot.draw_energy(P)
if P.O.plot_gsd_mp: plot.draw_gsd_mp(L,P,G)
if P.O.plot_gsd_grid: plot.draw_gsd_grid(L,P,G)
if P.O.save_u: plot.save_u(L,P,G)
if P.O.save_s_bar: plot.save_s_bar(L,P,G)
if P.O.save_density: plot.save_density(L,P,G)
if P.mode == 'dp_unit_test' or P.mode == 'dp_rate_unit_test': P.O.draw_p_q(P,G,L,plot,P.tstep)
if P.mode == 'pouliquen_unit_test': P.O.draw_mu(P,G,L,plot,P.tstep)
print('')
return 0
f_c = 1. - 1./(S_1_bar*S)
flux = P.c*f_c*g - P.D*dCdx
flux[boundary] = 0
return flux#, boundary
def increment_grainsize(P,G):
return KT(P,G,0) + KT(P,G,1)
# return NT(P,G,0) + NT(P,G,1)
if __name__ == "__main__":
import initialise
from numpy import random, maximum, ones
from plotting import Plotting
plot = Plotting()
P,G,L = initialise.get_parameters(['bi_seg_test','22','2'])
G.wipe(P)
L.get_reference_node(P,G) # Find node down and left
L.get_basis_functions(P,G) # Make basis functions
L.get_nodal_mass_momentum(P,G) # Initialise from grid state
plot.draw_gsd_grid(L,P,G)
G.grad_gammadot = -1.*ones([P.G.ny*P.G.nx,3])
# G.grad_gammadot[:,1] = 0
# P.dt *= 10
# G.phi = zeros_like(G.phi)
# G.phi[40:120,0] = 0.5
# G.phi[:,1] = 1- G.phi[:,0]
# G.phi[40:100,1] = 0
# P.c *= 100
while P.t <= P.t_f: