Add example simulation using multiple materials and internal variables

Author: btalamini

examples/multi_material_tutorial/uniaxial_two_material.py

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+import numpy as onp # as is "old numpy"
+
+from optimism.JaxConfig import *
+from optimism import EquationSolver
+from optimism import FunctionSpace
+from optimism import Interpolants
+from optimism.material import J2Plastic
+from optimism.material import Neohookean
+from optimism import Mechanics
+from optimism import Mesh
+from optimism import Objective
+from optimism import QuadratureRule
+from optimism import SparseMatrixAssembler
+from optimism import VTKWriter
+
+        
+# set up the mesh
+w = 0.1
+L = 1.0
+nodesInX = 5 # must be odd
+nodesInY = 15
+xRange = [0.0, w]
+yRange = [0.0, L]
+mesh = Mesh.construct_structured_mesh(nodesInX, nodesInY, xRange, yRange)
+
+def triangle_centroid(vertices):
+    return np.average(vertices, axis=0)
+
+blockIds = -1*onp.ones(Mesh.num_elements(mesh), dtype=onp.int64)
+for e, t in enumerate(mesh.conns):
+    vertices = mesh.coords[t,:]
+    if triangle_centroid(vertices)[0] < w/2:
+        blockIds[e] = 0
+    else:
+        blockIds[e] = 1
+
+blocks = {'soft': np.flatnonzero(np.array(blockIds) == 0),
+          'hard': np.flatnonzero(np.array(blockIds) == 1)}
+
+mesh = Mesh.mesh_with_blocks(mesh, blocks)
+
+nodeTol = 1e-8
+nodeSets = {'left': np.flatnonzero(mesh.coords[:,0] < xRange[0] + nodeTol),
+            'right': np.flatnonzero(mesh.coords[:,0] > xRange[1] - nodeTol),
+            'bottom': np.flatnonzero(mesh.coords[:,1] < yRange[0] + nodeTol),
+            'top': np.flatnonzero(mesh.coords[:,1] > yRange[1] - nodeTol)}
+
+mesh = Mesh.mesh_with_nodesets(mesh, nodeSets)
+
+# set the essential boundary conditions and create the a DofManager to
+# handle the indexing between unknowns and degrees of freedom.
+EBCs = [Mesh.EssentialBC(nodeSet='left', field=0),
+        Mesh.EssentialBC(nodeSet='bottom', field=1),
+        Mesh.EssentialBC(nodeSet='top', field = 1)]
+
+fieldShape = mesh.coords.shape
+dofManager = Mesh.DofManager(mesh, fieldShape, EBCs)
+
+# write blocks and bcs to paraview output to check things are correct
+writer = VTKWriter.VTKWriter(mesh, baseFileName='check_problem_setup')
+
+writer.add_cell_field(name='block_id', cellData=blockIds,
+                      fieldType=VTKWriter.VTKFieldType.SCALARS,
+                      dataType=VTKWriter.VTKDataType.INT)
+
+bcs = np.array(dofManager.isBc, dtype=np.int64)
+writer.add_nodal_field(name='bcs', nodalData=bcs, fieldType=VTKWriter.VTKFieldType.VECTORS,
+                       dataType=VTKWriter.VTKDataType.INT)
+    
+writer.write()
+
+# create the function space
+order = 2*mesh.masterElement.degree
+quadRule = QuadratureRule.create_quadrature_rule_on_triangle(degree=2*(order - 1))
+fs = FunctionSpace.construct_function_space(mesh, quadRule)
+
+# create the material models
+ESoft = 5.0
+nuSoft = 0.25
+props = {'elastic modulus': ESoft,
+         'poisson ratio': nuSoft}
+softMaterialModel = Neohookean.create_material_model_functions(props)
+
+E = 10.0
+nu = 0.25
+Y0 = 0.01*E
+H = E/100
+props = {'elastic modulus': E,
+         'poisson ratio': nu,
+         'yield strength': Y0,
+         'hardening model': 'linear',
+         'hardening modulus': H}
+hardMaterialModel = J2Plastic.create_material_model_functions(props)
+
+materialModels = {'soft': softMaterialModel, 'hard': hardMaterialModel}
+    
+# mechanics functions
+mechanicsFunctions = Mechanics.create_multi_block_mechanics_functions(fs, mode2D="plane strain", materialModels=materialModels)
+
+# helper function to fill in nodal values of essential boundary conditions
+def get_ubcs(p):
+    appliedDisp = p[0]
+    EbcIndex = (mesh.nodeSets['top'], 1)
+    V = np.zeros(fieldShape).at[EbcIndex].set(appliedDisp)
+    return dofManager.get_bc_values(V)
+
+# helper function to go from unknowns to full DoF array
+def create_field(Uu, p):
+    return dofManager.create_field(Uu, get_ubcs(p))
+    
+# write the energy to minimize
+def energy_function(Uu, p):
+    U = create_field(Uu, p)
+    internalVariables = p.state_data
+    return mechanicsFunctions.compute_strain_energy(U, internalVariables)
+    
+# Tell objective how to assemble preconditioner matrix
+def assemble_sparse_preconditioner_matrix(Uu, p):
+    U = create_field(Uu, p)
+    internalVariables = p.state_data
+    elementStiffnesses = mechanicsFunctions.compute_element_stiffnesses(U, internalVariables)
+    return SparseMatrixAssembler.assemble_sparse_stiffness_matrix(
+        elementStiffnesses, mesh.conns, dofManager)
+
+# solver settings
+solverSettings = EquationSolver.get_settings(max_cumulative_cg_iters=100,
+                                             max_trust_iters=1000,
+                                             use_preconditioned_inner_product_for_cg=True)
+
+precondStrategy = Objective.PrecondStrategy(assemble_sparse_preconditioner_matrix)
+
+# initialize unknown displacements to zero
+Uu = dofManager.get_unknown_values(np.zeros(fieldShape))
+
+# set initial values of parameters
+appliedDisp = 0.0
+state = mechanicsFunctions.compute_initial_state()
+p = Objective.Params(appliedDisp, state)
+    
+# Construct an objective object for the equation solver to work on
+objective = Objective.ScaledObjective(energy_function, Uu, p, precondStrategy=precondStrategy)
+    
+# increment the applied displacement
+appliedDisp = L*0.003
+p = Objective.param_index_update(p, 0, appliedDisp)
+
+# Find unknown displacements by minimizing the objective
+Uu = EquationSolver.nonlinear_equation_solve(objective, Uu, p, solverSettings)
+
+# update the state variables in the new equilibrium configuration
+U = create_field(Uu, p)
+state = mechanicsFunctions.compute_updated_internal_variables(U, p.state_data)
+p = Objective.param_index_update(p, 1, state)
+
+# write solution data to VTK file for post-processing
+writer = VTKWriter.VTKWriter(mesh, baseFileName='uniaxial_two_material')
+
+U = create_field(Uu, p)
+writer.add_nodal_field(name='displacement', nodalData=U, fieldType=VTKWriter.VTKFieldType.VECTORS)
+
+_, stresses = mechanicsFunctions.compute_output_energy_densities_and_stresses(
+    U, state)
+cellStresses = FunctionSpace.project_quadrature_field_to_element_field(fs, stresses)
+writer.add_cell_field(name='stress', cellData=cellStresses,
+                      fieldType=VTKWriter.VTKFieldType.TENSORS)
+
+writer.write()