PySeismoSoil is a Python library for performing 1D seismic site response analysis.
Copyright (c) 2019, California Institute of Technology, based on research supported by the National Science Foundation (NSF) Cooperative Agreement EAR-1033462 and the U.S. Geological Survey (USGS) Cooperative Agreement G12AC20038. All rights reserved.
Please carefully read the license here for the terms and conditions of using this library.
The authors of this library are the current and past members of the Geoquake Research Group of the California Institute of Technology: Jian Shi, Domniki Asimaki, and Wei Li.
Install most recent stable version:
pip install PySeismoSoilIf you already have an older version installed and want to upgrade to the newest version, use pip install --upgrade PySeismoSoil.
- Python: 3.7+
- matplotlib: 2.0.0+
- numpy: 1.11.0+
- scipy: 1.1.0+
- numba: 0.38.0+
Stable version: https://pyseismosoil.readthedocs.io/en/stable/
(With latest features: https://pyseismosoil.readthedocs.io/en/latest/)
Go to the "examples" folder from the root directory. Those examples help you quickly get familiar with the usage of this library.
The models and algorithms used in this library mainly come from these research papers:
-
J. Shi (2019) "Improving Site Response Analysis for Earthquake Ground Motion Modeling." Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/X5NZ-DQ21. [URL]
-
J. Shi, D. Asimaki (2018) "A Generic Velocity Profile for Basin Sediments in California Conditioned on Vs30." Seismological Research Letters, 89 (4), 1397-1409. [URL]
-
J. Shi, D. Asimaki (2017) "From stiffness to strength: Formulation and validation of a hybrid hyperbolic nonlinear soil model for site-response analyses." Bulletin of the Seismological Society of America, 107 (3), 1336-1355. [URL]
-
W. Li, D. Assimaki (2010) "Site- and motion-dependent parametric uncertainty of site-response analyses in earthquake simulations." Bulletin of the Seismological Society of America, 100 (3), 954-968. [URL]
-
D. Asimaki, W. Li, J. Steidl, J. Schmedes (2008) "Quantifying nonlinearity susceptibility via site-response modeling uncertainty at three sites in the Los Angeles Basin." Bulletin of the Seismological Society of America, 98 (5), 2364-2390. [URL]
To report bugs and submit suggestions, please use the "Issues" section of this GitHub repository.
To cite this library, please include this DOI in your publication: 
Please read the contributing instructions to get started.