Skip to main content

PySeismoSoil

Project description

PySeismoSoil

PySeismoSoil is a Python library for performing 1D seismic site response analysis.

Copyright and license

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.

Authors

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.

Installation

Install most recent stable version:

pip install PySeismoSoil

If you already have an older version installed and want to upgrade to the newest version, use pip install --upgrade PySeismoSoil.

Dependencies

  • Python: 3.7+
  • matplotlib: 2.0.0+
  • numpy: 1.11.0+
  • scipy: 1.1.0+
  • numba: 0.38.0+

API Documentation

Stable version: https://pyseismosoil.readthedocs.io/en/stable/

(With latest features: https://pyseismosoil.readthedocs.io/en/latest/)

Examples

Go to the "examples" folder from the root directory. Those examples help you quickly get familiar with the usage of this library.

Knowledge base

The models and algorithms used in this library mainly come from these research papers:

  1. 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]

  2. 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]

  3. 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]

  4. 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]

  5. 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]

Report issues

To report bugs and submit suggestions, please use the "Issues" section of this GitHub repository.

How to cite this library

To cite this library, please include this DOI in your publication: DOI.

How to contribute to this library

Please read the contributing instructions to get started.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PySeismoSoil-0.5.1.tar.gz (7.3 MB view details)

Uploaded Source

Built Distribution

PySeismoSoil-0.5.1-py3-none-any.whl (7.7 MB view details)

Uploaded Python 3

File details

Details for the file PySeismoSoil-0.5.1.tar.gz.

File metadata

  • Download URL: PySeismoSoil-0.5.1.tar.gz
  • Upload date:
  • Size: 7.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for PySeismoSoil-0.5.1.tar.gz
Algorithm Hash digest
SHA256 40cec60f455e480f0d8c3eb25c6cfcb66486c0aca1ce96918e7a69d34edfd21e
MD5 7cc2522b0f535b0a8894b23e65d3c4e8
BLAKE2b-256 ff6e3762da6923d4e8bafb0e96416e974f228aedbb2119b33930239ecb582699

See more details on using hashes here.

File details

Details for the file PySeismoSoil-0.5.1-py3-none-any.whl.

File metadata

File hashes

Hashes for PySeismoSoil-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 93b0c610cde46eb1286c150261060338c58e068535df7ece2874470455066558
MD5 fe30ab07ab8a677c07e190f205c315b4
BLAKE2b-256 af065c12ba78b71bed00320ca4ccf8b4d278be1b7e8ed6b6942783c18ba6154f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page