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An optimisation method that runs on a set of abaqus models to minimise the difference (in a least square sense) between the FEA output and the a corresponding set of data

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opti4Abq 2.0.3

An optimisation method in Python 2.X that runs on a set of abaqus models to minimise the difference (in a least square sense) between the FEA output and a corresponding set of data

The following Python modules are used: scipy.optimize, subprocess, numpy, and importlib if run with Python 2.7

Documentation available in ./opti4AbqDoc can also be found at https://www.overleaf.com/read/wmdrgnxkpghd You can also find a videocast of me talking through this tutorial at https://mymedia.leeds.ac.uk/Mediasite/Play/1d5b66213c6c4c8ea03b1e8b7a3ac3b81d

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An optimisation method that runs on a set of abaqus models to minimise the difference (in a least square sense) between the FEA output and the a corresponding set of data

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