37 lines
1.6 KiB
Text
37 lines
1.6 KiB
Text
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Using the optimization scripts. Contact james.grogan@universityofgalway.ie for further details.
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These scripts were developed to perform optmizations with Abaqus and DAKOTA on the ICHEC
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system. With small modifications they can also be used to perform optimizations on
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windows systems.
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Prerequisites:
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Abaqus (tested in v6.10)
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DAKOTA (tested in v5.2) - needs to be built from source on ICHEC.
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Sequence:
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1. Launch.pbs
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Sends optimization job to ICHEC queue. Loads modules neccessary for DAKOTA and runs the optimization job as
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a taskfarm.
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2. tasks.inp
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Input file for the taskfarm program. Changes to a unique directory for each task an runs DAKOTA with the input file
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OptB.in.
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3. OptB.in
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DAKOTA input file. Tells DAKOTA what sort of optimization to perform. How many parameters to use and what ranges the
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parameters fall in. Launchs the preprocessing wrapper script 'PyWrapperB.py' and designates 'Bparams.in' and 'Bparams.out' as the optimization input and output files.
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4. PyWrapperB.py
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Python wrapper script. Launchs the Abaqus geometry kernel file 'OptB.py'. Launches each abaqus job. Launches the
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postprocessor python file 'OptPostB1.py'.
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5. OptB.py
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Abaqus kernel script. Creates the FE model. Model parameters are read in from DAKOTA through the Bparams.in file.
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6. OptPostB1.py
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Post-processes the initial simulation. If a design looks promising it launches a corrosion simulation and a second postprocessor OptPostB2.py.
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7. OptPostB2.py
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Post-processes the corrosion simulation. Returns the objective function value to DAKOTA through the Bparams.out text file.
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