Note
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Solve a 2D L-shape 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 = "L-Shape"
Define the number of elements in the x- and y- directions:
n_x = 25
n_y = 25
Define the full material Young's modulus and 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 - 16:13:38: *** Start MDOScenario execution ***
INFO - 16:13:38: MDOScenario
INFO - 16:13:38: Disciplines: DensityFilter FiniteElementAnalysis MaterialModelInterpolation VolumeFraction
INFO - 16:13:38: MDO formulation: DisciplinaryOpt
INFO - 16:13:38: Optimization problem:
INFO - 16:13:38: minimize compliance(x)
INFO - 16:13:38: with respect to x
INFO - 16:13:38: under the inequality constraints
INFO - 16:13:38: volume fraction(x) <= 0.3
INFO - 16:13:38: Solving optimization problem with algorithm NLOPT_MMA:
INFO - 16:13:38: 1%| | 2/200 [00:00<00:03, 59.49 it/sec, feas=True, obj=2.23e+3]
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INFO - 16:13:40: 70%|███████ | 140/200 [00:01<00:00, 100.14 it/sec, feas=True, obj=152]
INFO - 16:13:40: Optimization result:
INFO - 16:13:40: Optimizer info:
INFO - 16:13:40: Status: None
INFO - 16:13:40: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 16:13:40: Solution:
INFO - 16:13:40: The solution is feasible.
INFO - 16:13:40: Objective: 151.6296141795223
INFO - 16:13:40: Standardized constraints:
INFO - 16:13:40: [volume fraction-0.3] = 5.139993075609084e-08
INFO - 16:13:40: *** 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 0x7b1d50f9a5d0>
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 0x7b1d50ab84d0>
Total running time of the script: (0 minutes 2.091 seconds)