Note
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Solve a 2D MBB topology optimization problem#
from __future__ import annotations
from gemseo import create_scenario
from gemseo.problems.topology_optimization.topopt_initialize import (
initialize_design_space_and_discipline_to,
)
Setup the topology optimization problem#
Define the target volume fraction:
volume_fraction = 0.3
Define the problem type:
problem_name = "MBB"
Define the number of elements in x- and y- directions:
n_x = 50
n_y = 25
Define the full material Young's modulus and the Poisson's ratio:
e0 = 1
nu = 0.3
Define the penalty of the SIMP approach:
penalty = 3
Define the minimum member size in the solution:
min_member_size = 1.5
Instantiate the DesignSpace and the disciplines:
design_space, disciplines = initialize_design_space_and_discipline_to(
problem=problem_name,
n_x=n_x,
n_y=n_y,
e0=e0,
nu=nu,
penalty=penalty,
min_member_size=min_member_size,
vf0=volume_fraction,
)
Solve the topology optimization problem#
Generate an MDOScenario
scenario = create_scenario(
disciplines,
"compliance",
design_space,
formulation_name="DisciplinaryOpt",
)
Add the volume fraction constraint to the scenario:
scenario.add_constraint(
"volume fraction", constraint_type="ineq", value=volume_fraction
)
Generate the XDSM
scenario.xdsmize(save_html=False)
Execute the scenario
scenario.execute(algo_name="NLOPT_MMA", max_iter=200)
INFO - 16:24:29: *** Start MDOScenario execution ***
INFO - 16:24:29: MDOScenario
INFO - 16:24:29: Disciplines: DensityFilter FiniteElementAnalysis MaterialModelInterpolation VolumeFraction
INFO - 16:24:29: MDO formulation: DisciplinaryOpt
INFO - 16:24:30: Optimization problem:
INFO - 16:24:30: minimize compliance(x)
INFO - 16:24:30: with respect to x
INFO - 16:24:30: under the inequality constraints
INFO - 16:24:30: volume fraction(x) <= 0.3
INFO - 16:24:30: Solving optimization problem with algorithm NLOPT_MMA:
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INFO - 16:24:32: 86%|████████▋ | 173/200 [00:02<00:00, 62.06 it/sec, feas=True, obj=170]
INFO - 16:24:32: 87%|████████▋ | 174/200 [00:02<00:00, 62.03 it/sec, feas=True, obj=170]
INFO - 16:24:32: 88%|████████▊ | 175/200 [00:02<00:00, 62.06 it/sec, feas=True, obj=170]
INFO - 16:24:32: 88%|████████▊ | 176/200 [00:02<00:00, 62.08 it/sec, feas=True, obj=170]
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INFO - 16:24:32: 89%|████████▉ | 178/200 [00:02<00:00, 62.14 it/sec, feas=True, obj=170]
INFO - 16:24:32: 90%|████████▉ | 179/200 [00:02<00:00, 62.19 it/sec, feas=True, obj=170]
INFO - 16:24:32: 90%|█████████ | 180/200 [00:02<00:00, 62.20 it/sec, feas=True, obj=170]
INFO - 16:24:32: 90%|█████████ | 181/200 [00:02<00:00, 62.23 it/sec, feas=True, obj=170]
INFO - 16:24:32: 91%|█████████ | 182/200 [00:02<00:00, 62.24 it/sec, feas=True, obj=170]
INFO - 16:24:32: 92%|█████████▏| 183/200 [00:02<00:00, 62.25 it/sec, feas=True, obj=170]
INFO - 16:24:32: 92%|█████████▏| 184/200 [00:02<00:00, 62.27 it/sec, feas=True, obj=170]
INFO - 16:24:32: 92%|█████████▎| 185/200 [00:02<00:00, 62.30 it/sec, feas=True, obj=170]
INFO - 16:24:32: 93%|█████████▎| 186/200 [00:02<00:00, 62.32 it/sec, feas=True, obj=170]
INFO - 16:24:33: 94%|█████████▎| 187/200 [00:02<00:00, 62.34 it/sec, feas=True, obj=170]
INFO - 16:24:33: 94%|█████████▍| 188/200 [00:03<00:00, 62.37 it/sec, feas=True, obj=170]
INFO - 16:24:33: 94%|█████████▍| 189/200 [00:03<00:00, 62.39 it/sec, feas=True, obj=170]
INFO - 16:24:33: 95%|█████████▌| 190/200 [00:03<00:00, 62.41 it/sec, feas=True, obj=170]
INFO - 16:24:33: 96%|█████████▌| 191/200 [00:03<00:00, 62.43 it/sec, feas=True, obj=170]
INFO - 16:24:33: 96%|█████████▌| 192/200 [00:03<00:00, 62.46 it/sec, feas=True, obj=170]
INFO - 16:24:33: 96%|█████████▋| 193/200 [00:03<00:00, 62.48 it/sec, feas=True, obj=170]
INFO - 16:24:33: 97%|█████████▋| 194/200 [00:03<00:00, 62.50 it/sec, feas=True, obj=170]
INFO - 16:24:33: 98%|█████████▊| 195/200 [00:03<00:00, 62.54 it/sec, feas=True, obj=170]
INFO - 16:24:33: 98%|█████████▊| 196/200 [00:03<00:00, 62.55 it/sec, feas=True, obj=170]
INFO - 16:24:33: 98%|█████████▊| 197/200 [00:03<00:00, 62.58 it/sec, feas=True, obj=170]
INFO - 16:24:33: 99%|█████████▉| 198/200 [00:03<00:00, 62.62 it/sec, feas=True, obj=170]
INFO - 16:24:33: 100%|█████████▉| 199/200 [00:03<00:00, 62.64 it/sec, feas=True, obj=170]
INFO - 16:24:33: 100%|██████████| 200/200 [00:03<00:00, 62.67 it/sec, feas=True, obj=170]
INFO - 16:24:33: Optimization result:
INFO - 16:24:33: Optimizer info:
INFO - 16:24:33: Status: None
INFO - 16:24:33: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 16:24:33: Solution:
INFO - 16:24:33: The solution is feasible.
INFO - 16:24:33: Objective: 169.89100281948836
INFO - 16:24:33: Standardized constraints:
INFO - 16:24:33: [volume fraction-0.3] = 6.224782465036327e-07
INFO - 16:24:33: *** End MDOScenario execution ***
Results#
Post-process the optimization history:
scenario.post_process(
post_name="BasicHistory", variable_names=["compliance"], show=True, save=False
)

<gemseo.post.basic_history.BasicHistory object at 0x72a4d8ac2360>
Plot the solution
scenario.post_process(post_name="TopologyView", n_x=n_x, n_y=n_y, show=True, save=False)

<gemseo.post.topology_view.TopologyView object at 0x72a4f3501850>
Total running time of the script: (0 minutes 4.121 seconds)