def createTACS(self, options, model, ndof=8):
"""
Set up TACS and TACSIntegator.
"""
# grab the tacs instance from the builder
self.tacs = self.builder.getTACS(options['ordering'],
TACS.PY_DIRECT_SCHUR,
ndof=ndof)
# Things for configuring time marching
self.integrator = {}
for scenario in model.scenarios:
self.integrator[scenario.id] = self.createIntegrator(
self.tacs, options)
# Control F5 output
if self.builder.rigid_viz == 1:
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.EXTRAS)
rigidf5 = TACS.ToFH5(self.tacs, TACS.PY_RIGID, flag)
self.integrator[scenario.id].setRigidOutput(rigidf5)
if self.builder.shell_viz == 1:
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS | TACS.ToFH5.STRESSES
| TACS.ToFH5.EXTRAS)
shellf5 = TACS.ToFH5(self.tacs, TACS.PY_SHELL, flag)
self.integrator[scenario.id].setShellOutput(shellf5)
if self.builder.beam_viz == 1:
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS | TACS.ToFH5.STRESSES
| TACS.ToFH5.EXTRAS)
beamf5 = TACS.ToFH5(self.tacs, TACS.PY_BEAM, flag)
self.integrator[scenario.id].setBeamOutput(beamf5)
if self.builder.solid_viz == 1:
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS | TACS.ToFH5.STRESSES
| TACS.ToFH5.EXTRAS)
solidf5 = TACS.ToFH5(self.tacs, TACS.PY_SOLID, flag)
self.integrator[scenario.id].setSolidOutput(solidf5)
# store the reference to body list after initializations are complete
self.tacs_body_list = self.builder.body_list
return
def post_export_f5(self):
flag = (TACS.OUTPUT_CONNECTIVITY |
TACS.OUTPUT_NODES |
TACS.OUTPUT_DISPLACEMENTS |
TACS.OUTPUT_STRAINS)
f5 = TACS.ToFH5(self.assembler, TACS.SOLID_ELEMENT, flag)
filename_struct_out = "tets" + ".f5"
f5.writeToFile(filename_struct_out)
def post_export_f5(self):
flag = (TACS.OUTPUT_CONNECTIVITY |
TACS.OUTPUT_NODES |
TACS.OUTPUT_DISPLACEMENTS |
TACS.OUTPUT_EXTRAS)
f5 = TACS.ToFH5(self.assembler, TACS.BEAM_OR_SHELL_ELEMENT, flag)
file_out = "onera_struct_out.f5"
f5.writeToFile(file_out)
return
def setAssembler(self, assembler, ksfunc):
# Create tacs assembler object from mesh loader
self.assembler = assembler
# Create the list of functions
self.funcs = [functions.StructuralMass(self.assembler), ksfunc]
# Set up the solver
self.ans = self.assembler.createVec()
self.res = self.assembler.createVec()
self.adjoint = self.assembler.createVec()
self.dfdu = self.assembler.createVec()
self.mat = self.assembler.createFEMat()
self.pc = TACS.Pc(self.mat)
self.gmres = TACS.KSM(self.mat, self.pc, 10)
# For visualization
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS | TACS.ToFH5.EXTRAS)
self.f5 = TACS.ToFH5(self.assembler, TACS.PY_PLANE_STRESS, flag)
return
print('avg temp to set into SU2 = ', np.mean(np.array(ans_holder)))
# transfer surface temps to theta (size of nodes on aero side)
meld.transferTemp(ans_holder, theta)
# set theta temps into SU2 for next run
# don't do this on iter=0 because it'll set all zeros in
if Iter > 0:
for iVertex in range(nVertex_CHTMarker):
setTemp = temp_check[iVertex] + 0.5 * (theta[iVertex] -
temp_check[iVertex])
SU2Driver.SetVertexTemperature(CHTMarkerID, iVertex, setTemp)
# Run an iteration of the CFD
SU2Driver.Run()
SU2Driver.Monitor(Iter)
SU2Driver.Output(Iter)
Iter += 1
delta_avg_temp = abs(
np.mean(np.array(ans_holder)) - np.mean(np.array(temp_check)))
# Set the element flag
flag = (TACS.OUTPUT_CONNECTIVITY | TACS.OUTPUT_NODES
| TACS.OUTPUT_DISPLACEMENTS | TACS.OUTPUT_STRAINS)
f5 = TACS.ToFH5(assembler, TACS.SCALAR_2D_ELEMENT, flag)
f5.writeToFile('tacs_4deg_inv.f5')
SU2Driver.Postprocessing()
use_project = args.use_project
props = TMR.StiffnessProperties(rho, E, nu, k0=1e-3, use_project=use_project)
for ite in range(max_iterations):
# Create the TACSAssembler and TMRTopoProblem instance
nlevs = mg_levels[ite]
assembler, problem, filtr, varmap = createTopoProblem(
props,
forest,
nlevels=nlevs,
Xscale=Xscale,
ordering=TACS.PY_MULTICOLOR_ORDER)
# Write out just the mesh - for visualization
flag = TACS.ToFH5.NODES
f5 = TACS.ToFH5(assembler, TACS.PY_SOLID, flag)
f5.writeToFile(os.path.join(args.prefix, 'beam_mesh%d.f5' % (ite)))
# Set the constraint type
funcs = [functions.StructuralMass(assembler)]
# Add the point loads to the vertices
T = 1e3
force1 = addVertexLoad(comm, forest, 'pt1', assembler, [0.0, -T, 0.0])
force2 = addVertexLoad(comm, forest, 'pt2', assembler, [0.0, 0.0, -T])
force1.axpy(1.0, force2)
force1.scale(-1.0)
# Reorder the load vector
assembler.reorderVec(force1)
# Set the load cases
def integrate(assembler, forest, tfinal=30.0, nsteps=30, output=False):
# Create the BDF integrator
tinit = 0.0
order = 2
bdf = TACS.BDFIntegrator(assembler, tinit, tfinal, nsteps, order)
bdf.setPrintLevel(0)
bdf.setAbsTol(1e-6)
bdf.setRelTol(1e-15)
if output:
# Set the output file name
flag = (TACS.OUTPUT_CONNECTIVITY | TACS.OUTPUT_NODES
| TACS.OUTPUT_DISPLACEMENTS | TACS.OUTPUT_EXTRAS)
f5 = TACS.ToFH5(assembler, TACS.PLANE_STRESS_ELEMENT, flag)
bdf.setFH5(f5)
bdf.setOutputFrequency(1)
bdf.setOutputPrefix('time_history/')
# Define the functions of interest
temp0 = functions.KSTemperature(assembler, 50.0)
temp0.setKSTemperatureType('discrete')
elems, _ = get_elems_and_surfs(['battery_0'])
temp0.setDomain(elems)
temp1 = functions.KSTemperature(assembler, 50.0)
temp1.setKSTemperatureType('discrete')
elems, _ = get_elems_and_surfs(['battery_1'])
temp1.setDomain(elems)
temp2 = functions.KSTemperature(assembler, 50.0)
temp2.setKSTemperatureType('discrete')
elems, _ = get_elems_and_surfs(['battery_2'])
temp2.setDomain(elems)
# Set the functions into the integrator class
bdf.setFunctions([temp0, temp1, temp2])
# Create a vector that will store the instantaneous traction
# load at any point in time
forces = assembler.createVec()
# Compute the tractions due to a unit input heat flux
unit_forces = update_force(forest, assembler, qdot_in=1.0)
# Iterate in time to march the equations of motion forward
# in time
t_array = np.linspace(tinit, tfinal, nsteps + 1)
for i, t in enumerate(t_array):
# Compute the magnitude of the input heat flux
q_in = qdot_in_func(t)
# Copy the unit force values and scale by the heat flux
forces.copyValues(unit_forces)
forces.scale(q_in)
# Iterate forward in time for one time step
bdf.iterate(i, forces=forces)
# Compute the nodal sensitivities
fvals = bdf.evalFunctions([temp0, temp1, temp2])
bdf.integrateAdjoint()
df0dXpt = bdf.getXptGradient(0)
df1dXpt = bdf.getXptGradient(1)
df2dXpt = bdf.getXptGradient(2)
dfdXpt = [df0dXpt, df1dXpt, df2dXpt]
# Extract the time history
qvals = np.zeros(nsteps + 1)
tvals = np.zeros(nsteps + 1)
for time_step in range(nsteps + 1):
# Extract vectors
time, q, _, _ = bdf.getStates(time_step)
# Extract Arrays
qarray = q.getArray()
qvals[time_step] = np.amax(qarray)
tvals[time_step] = time
# Evaluate the functions at every time step
temp0_vals = np.zeros(nsteps + 1)
temp1_vals = np.zeros(nsteps + 1)
temp2_vals = np.zeros(nsteps + 1)
for time_step in range(nsteps + 1):
# Extract vectors
_, q, qdot, qddot = bdf.getStates(time_step)
# Compute the function values
assembler.setVariables(q)
fvals = assembler.evalFunctions([temp0, temp1, temp2])
temp0_vals[time_step] = fvals[0]
temp1_vals[time_step] = fvals[1]
temp2_vals[time_step] = fvals[2]
fvals = [temp0_vals, temp1_vals, temp2_vals]
return tvals, qvals, fvals, dfdXpt
struct_disps[2::3] = ans_array[2::6]
# We can use TACS built-in visualization capability to look at the loads that
# came out of the load transfer. We do so by overwriting the rotations in ans
# with those loads
ans_array[3::6] = struct_loads[0::3]
ans_array[4::6] = struct_loads[1::3]
ans_array[5::6] = struct_loads[2::3]
tacs.applyBCs(ans)
tacs.setVariables(ans)
"""
# Output information from TACS for visualization in Tecplot
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS
| TACS.ToFH5.STRESSES | TACS.ToFH5.EXTRAS)
f5 = TACS.ToFH5(tacs, TACS.PY_SHELL, flag)
f5.writeToFile('crm_meld.f5')
"""
--------------------------------------------------------------------------------
Compute displacements due to the RBF scheme's loads using TACS
--------------------------------------------------------------------------------
"""
# Set structural loads into residual array res. Since we're using shell
# elements, res specifies three force components and three moment components per
# node
res.zeroEntries()
res_array = res.getArray()
res_array[0::6] = struct_loads_rbf[0::3]
res_array[1::6] = struct_loads_rbf[1::3]
res_array[2::6] = struct_loads_rbf[2::3]
tacs.applyBCs(res)
def __init__(self,
comm,
props,
tacs,
const,
num_materials,
xpts=None,
conn=None,
m_fixed=1.0,
min_mat_fraction=-1.0):
'''
Analysis problem
'''
# Keep the communicator
self.comm = comm
# Set the TACS object and the constitutive list
self.props = props
self.tacs = tacs
self.const = const
# Set the material information
self.num_materials = num_materials
self.num_elements = self.tacs.getNumElements()
# Keep the pointer to the connectivity/positions
self.xpts = xpts
self.conn = conn
# Set the target fixed mass
self.m_fixed = m_fixed
# Set a fixed material fraction
self.min_mat_fraction = min_mat_fraction
# Set the number of constraints
self.ncon = 1
if self.min_mat_fraction > 0.0:
self.ncon += self.num_materials
# Set the number of design variables
nwblock = 1
self.num_design_vars = (self.num_materials + 1) * self.num_elements
# Initialize the super class
super(TACSAnalysis,
self).__init__(comm, self.num_design_vars, self.ncon,
self.num_elements, nwblock)
# Set the size of the design variable 'blocks'
self.nblock = self.num_materials + 1
# Create the state variable vectors
self.res = tacs.createVec()
self.u = tacs.createVec()
self.psi = tacs.createVec()
self.mat = tacs.createFEMat()
# Create the preconditioner for the corresponding matrix
self.pc = TACS.Pc(self.mat)
# Create the KSM object
subspace_size = 20
nrestart = 0
self.ksm = TACS.KSM(self.mat, self.pc, subspace_size, nrestart)
self.ksm.setTolerances(1e-12, 1e-30)
# Set the block size
self.nwblock = self.num_materials + 1
# Allocate a vector that stores the gradient of the mass
self.gmass = np.zeros(self.num_design_vars)
# Create the mass function and evaluate the gradient of the
# mass. This is assumed to remain constatnt throughout the
# optimization.
self.mass_func = functions.StructuralMass(self.tacs)
self.tacs.evalDVSens(self.mass_func, self.gmass)
# Set the initial variable values
self.xinit = np.ones(self.num_design_vars)
# Set the initial design variable values
xi = self.m_fixed / np.dot(self.gmass, self.xinit)
self.xinit[:] = xi
# Set the penalization
tval = xi * self.num_materials
self.xinit[::self.nblock] = tval
# Create a temporary vector for the hessian-vector products
self.hvec_tmp = np.zeros(self.xinit.shape)
# Set the initial linearization/point
self.RAMP_penalty = 0.0
self.setNewInitPointPenalty(self.xinit)
# Set the number of function/gradient/hessian-vector
# evaluations to zero
self.fevals = 0
self.gevals = 0
self.hevals = 0
# Evaluate the objective at the initial point
self.obj_scale = 1.0
fail, obj, con = self.evalObjCon(self.xinit)
self.obj_scale = obj_scale_factor * obj
print('objective scaling = ', self.obj_scale)
# Create the FH5 file object
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS)
self.f5 = TACS.ToFH5(self.tacs, TACS.PY_PLANE_STRESS, flag)
return
mg.factor()
pc = mg
mat = mg.getMat()
# Create the GMRES object
gmres = TACS.KSM(mat, pc, 100, isFlexible=1)
gmres.setMonitor(comm, freq=10)
gmres.setTolerances(1e-14, 1e-30)
gmres.solve(res, ans)
ans.scale(-1.0)
# Set the variables
assembler.setVariables(ans)
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS)
f5 = TACS.ToFH5(assembler, TACS.PY_POISSON_2D_ELEMENT, flag)
f5.writeToFile('results/%s_solution%02d.f5' % (descript, k))
# Create and compute the function
fval = 0.0
if functional == 'ks':
direction = [1.0 / R**2, 0.0, 0.0]
func = functions.KSDisplacement(assembler, ksweight, direction)
func.setKSDispType('continuous')
elif functional == 'pnorm':
direction = [1.0 / R**2, 0.0, 0.0]
func = functions.KSDisplacement(assembler, ksweight, direction)
func.setKSDispType('pnorm-continuous')
elif functional == 'ks_grad':
direction = [1.0 / R, 0.0]
func = poisson_function.KSPoissonGrad(assembler, ksweight, direction)
def post_export_f5(self):
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.EXTRAS )
f5 = TACS.ToFH5(self.tacs, TACS.PY_SHELL, flag)
filename_struct_out = "crm" + ".f5"
f5.writeToFile(filename_struct_out)
# Evaluate the function and the df/du termp
assembler.evalFunctions([avg_temp_func])
assembler.addSVSens([avg_temp_func], [dfdu])
# Solve for the adjoint equations
assembler.assembleJacobian(alpha,
beta,
gamma,
res,
mat,
matOr=TACS.TRANSPOSE)
pc.factor()
gmres.solve(dfdu, adjoint)
# Compute the total derivative
assembler.addDVSens([avg_temp_func], [g])
assembler.addAdjointResProducts([adjoint], [g], alpha=-1.0)
# Compute the gradient
grad = np.dot(A.T, g.getArray())
if comm.rank == 0:
print(grad)
# Write out the solution
flag = (TACS.OUTPUT_CONNECTIVITY | TACS.OUTPUT_NODES
| TACS.OUTPUT_DISPLACEMENTS)
f5 = TACS.ToFH5(assembler, TACS.SOLID_ELEMENT, flag)
filename_struct_out = "test.f5"
f5.writeToFile(filename_struct_out)
aero_disps = np.zeros(len(aero_X), dtype=TransferScheme.dtype)
meld.transferDisps(struct_disps, aero_disps)
# Transfer loads from fluid and get loads on structure
struct_loads = np.zeros(len(struct_X), dtype=TransferScheme.dtype)
meld.transferLoads(aero_loads, struct_loads)
# Set loads on structure
struct_loads_moments = np.zeros(2 * len(struct_loads))
struct_loads_moments[::6] = struct_loads[::3]
struct_loads_moments[1::6] = struct_loads[1::3]
struct_loads_moments[2::6] = struct_loads[2::3]
write_flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS
| TACS.ToFH5.STRESSES | TACS.ToFH5.EXTRAS)
f5 = TACS.ToFH5(tacs, TACS.PY_SHELL, write_flag)
################################################################################
# ParOpt #
################################################################################
# Create sizing as a ParOpt problem
class CRMSizing(ParOpt.pyParOptProblem):
def __init__(self, tacs, f5):
# Set the communicator pointer
self.comm = MPI.COMM_WORLD
self.rank = self.comm.Get_rank()
self.size = self.comm.Get_size()
self.nvars = num_components / self.size
# The volumes of the elements in the filter mesh
filtr_volumes = None
# Set the values of the objective array
obj_array = [1.0e2]
for ite in range(max_iterations):
# Create the TACSAssembler and TMRTopoProblem instance
nlevs = mg_levels[ite]
assembler, problem, filtr, varmap = createTopoProblem(forest,
nlevels=nlevs)
# Write out just the mesh - for visualization
flag = (TACS.ToFH5.NODES)
f5 = TACS.ToFH5(assembler, TACS.PY_PLANE_STRESS, flag)
f5.writeToFile(os.path.join(args.prefix, 'plate_mesh%d.f5' % (ite)))
# Set the constraint type
funcs = [functions.StructuralMass(assembler)]
# Add the point loads to the vertices
force1 = addVertexLoad(comm, order, forest, 'pt1', assembler,
[0.0, -1000.])
force1.scale(-1.0)
# Set the load cases
forces = [force1]
problem.setLoadCases(forces)
# Set the mass constraint
problem.addConstraints(0, funcs, [-m_fixed], [-1.0 / m_fixed])
restarts = 2
gmres = TACS.KSM(K, pc, subspace, restarts)
# Guess for the lowest natural frequency
sigma_hz = 1.0
sigma = 2.0 * np.pi * sigma_hz
# Create the frequency analysis object
num_eigs = 5
freq = TACS.FrequencyAnalysis(assembler,
sigma,
M,
K,
gmres,
num_eigs=num_eigs,
eig_tol=1e-12)
# Solve the frequency analysis problem
freq.solve()
# Output for visualization
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS
| TACS.ToFH5.EXTRAS)
f5 = TACS.ToFH5(assembler, TACS.PY_SHELL, flag)
vec = assembler.createVec()
for i in range(num_eigs):
freq.extractEigenvector(i, vec)
assembler.setVariables(vec)
f5.writeToFile('ucrm_mode%d.f5' % (i))
def __init__(self, comm, bdf_name):
self.comm = comm
struct_mesh = TACS.MeshLoader(self.comm)
struct_mesh.scanBDFFile(bdf_name)
# Set constitutive properties
rho = 2500.0 # density, kg/m^3
E = 70e9 # elastic modulus, Pa
nu = 0.3 # poisson's ratio
kcorr = 5.0 / 6.0 # shear correction factor
ys = 350e6 # yield stress, Pa
min_thickness = 0.002
max_thickness = 0.20
thickness = 0.02
# Loop over components, creating stiffness and element object for each
num_components = struct_mesh.getNumComponents()
for i in range(num_components):
descriptor = struct_mesh.getElementDescript(i)
# Set the design variable index
design_variable_index = i
stiff = constitutive.isoFSDT(rho, E, nu, kcorr, ys, thickness,
design_variable_index, min_thickness,
max_thickness)
element = None
# Create the element object
if descriptor in ["CQUAD", "CQUADR", "CQUAD4"]:
element = elements.MITCShell(2, stiff, component_num=i)
struct_mesh.setElement(i, element)
# Create tacs assembler object from mesh loader
self.assembler = struct_mesh.createTACS(6)
# Create the KS Function
ksWeight = 50.0
self.funcs = [
functions.StructuralMass(self.assembler),
functions.KSFailure(self.assembler, ksWeight)
]
# Create the forces
self.forces = self.assembler.createVec()
force_array = self.forces.getArray()
force_array[2::6] += 100.0 # uniform load in z direction
self.assembler.applyBCs(self.forces)
# Set up the solver
self.ans = self.assembler.createVec()
self.res = self.assembler.createVec()
self.adjoint = self.assembler.createVec()
self.dfdu = self.assembler.createVec()
self.mat = self.assembler.createFEMat()
self.pc = TACS.Pc(self.mat)
subspace = 100
restarts = 2
self.gmres = TACS.KSM(self.mat, self.pc, subspace, restarts)
# Scale the mass objective so that it is O(10)
self.mass_scale = 1e-3
# Scale the thickness variables so that they are measured in
# mm rather than meters
self.thickness_scale = 1000.0
# The number of thickness variables in the problem
self.nvars = num_components
# The number of constraints (1 global stress constraint that
# will use the KS function)
self.ncon = 1
# Initialize the base class - this will run the same problem
# on all processors
super(uCRM_VonMisesMassMin, self).__init__(MPI.COMM_SELF, self.nvars,
self.ncon)
# Set the inequality options for this problem in ParOpt:
# The dense constraints are inequalities c(x) >= 0 and
# use both the upper/lower bounds
self.setInequalityOptions(dense_ineq=True,
use_lower=True,
use_upper=True)
# For visualization
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS
| TACS.ToFH5.STRAINS | TACS.ToFH5.EXTRAS)
self.f5 = TACS.ToFH5(self.assembler, TACS.PY_SHELL, flag)
self.iter_count = 0
return
# Assemble the Jacobian
alpha = 1.0
beta = 0.0
gamma = 0.0
tacs.assembleJacobian(alpha, beta, gamma, res, mat)
pc.factor()
res.setRand(1.0, 1.0)
tacs.applyBCs(res)
pc.applyFactor(res, ans)
ans.scale(-1.0)
tacs.setVariables(ans)
tacs.setSimulationTime(0.15)
# Create the function list
funcs = []
# Create the KS function
ksweight = 100.0
for i in range(1):
funcs.append(functions.KSFailure(tacs, ksweight))
func_vals = tacs.evalFunctions(funcs)
# Set the element flag
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS)
f5 = TACS.ToFH5(tacs, TACS.PY_PLANE_STRESS, flag)
f5.writeToFile('triangle_test.f5')
gamma = 0.0
mg.assembleJacobian(alpha, beta, gamma, res)
# Factor the preconditioner
mg.factor()
subspace = 100
gmres = TACS.KSM(mg.getMat(), mg, subspace, isFlexible=1)
gmres.setMonitor(comm, 'GMRES', 1)
gmres.solve(res, ans)
ans.scale(-1.0)
assembler.setVariables(ans)
# Output for visualization
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS)
f5 = TACS.ToFH5(assembler, TACS.PY_SHELL, flag)
f5.writeToFile('visualization.f5')
# Duplicate the forest and refine it uniformly
forest_refined = forest.duplicate()
forest_refined.setMeshOrder(4)
forest_refined.balance(1)
assembler_refined = creator.createTACS(forest_refined)
ans_refined = assembler_refined.createVec()
TMR.computeReconSolution(forest, assembler, forest_refined, assembler_refined,
ans, ans_refined)
assembler_refined.setVariables(ans_refined)
# Output for visualization
flag = (TACS.ToFH5.NODES | TACS.ToFH5.DISPLACEMENTS | TACS.ToFH5.STRAINS)
f5 = TACS.ToFH5(assembler_refined, TACS.PY_SHELL, flag)
assembler.setDesignVars(dv_vec)
# Perform the numerical integration
tfinal = 5.0
nsteps = 50
t, u, fvals, dfdXpt = integrate(assembler,
forest,
nsteps=nsteps,
tfinal=tfinal,
output=True)
flag = (TACS.OUTPUT_CONNECTIVITY | TACS.OUTPUT_NODES
| TACS.OUTPUT_DISPLACEMENTS | TACS.OUTPUT_EXTRAS)
assembler.setVariables(dfdXpt[0])
f5 = TACS.ToFH5(assembler, TACS.PLANE_STRESS_ELEMENT, flag)
f5.writeToFile('Xpt0.f5')
assembler.setVariables(dfdXpt[1])
f5 = TACS.ToFH5(assembler, TACS.PLANE_STRESS_ELEMENT, flag)
f5.writeToFile('Xpt1.f5')
assembler.setVariables(dfdXpt[2])
f5 = TACS.ToFH5(assembler, TACS.PLANE_STRESS_ELEMENT, flag)
f5.writeToFile('Xpt2.f5')
# Plot the maximum temperature over time
i0 = np.argmax(fvals[0])
i1 = np.argmax(fvals[1])
i2 = np.argmax(fvals[2])
