Python source code accompanying the Goings et al. (2020) paper published in the SEAOC 2020 proceedings
Hi fellow engineers! This is an open-source library of Python functions for converting the ETABS model included within the models directory into a nonlinear OpenSees equivalent and running a response history analysis on the nonlinear OpenSees model.
The ideas implemented in this library are readily extensible to other ETABS models developed with the methodology explained in our paper. However, we
currently limit the scope of this library to the enclosed model.
- Fork this repository to your GitHub account and clone to your machine.
- Run the enclosed ETABS model and keep ETABS open in the background as you work on Step 3 and beyond.
- Use your favorite Python distribution and IDE to run the
main.pyscript. We recommend using Spyder, which is included in the Anaconda3-2019.10 distribution. Newer Anaconda3 distributions have issues interfacing with ETABS.
If you use the Anaconda3 distribution noted above, you may need to also manually install Python packages which are not included in the Anaconda3 distribution but are noted as dependencies below. We recommend Using pip on the Anaconda Powershell for manually installing packages.
- OpenSeesPy not included in Anaconda3-2019.10 (installation tutorial)
- Pandas
included in Anaconda3-2019.10 - comtypes
included in Anaconda3-2019.10 - numpy
included in Anaconda3-2019.10 - tqdm not included in Anaconda3-2019.10 (installation similar to OpenSeesPy tutorial)
If you would like to propose changes, please submit a pull requests from your fork.
Feel free to submit bugs or ideas for enhancements as issues directly to this repository.
Thanks for your interest in this library!