pySRA
Site response analyses implemented in Python. This Python packages aims to implement many of the features found in Strata. These features include:
- Input motion characterization:
Time series
Random vibration theory
- Wave propagation or site amplification:
linear
equivalent-linear
equivalent-linear with frequency dependent properties
quarter wavelength
- Nonlinear curve models:
Darendeli (2001)
Menq (2004)
Kishida (2012)
- Site and soil property uncertainty:
Toro (1994) Vs correlation model
- G/Gmax and D uncertainty:
Darendeli (2001)
EPRI SPID (2013)
Development of this software is on-going and any contributions are encouraged.
Installation
pysra is available via pip and can be installed with:
pip install pysra
If you are using conda and a create a pysra specific environmental make sure you install ipykernels and nb_conda_kernels so that the environment is discoverable by Jupyter with:
conda install ipykernel nb_conda_kernels
Citation
Please cite this software using the following DOI.
Examples
There are a variety of examples of using pysra within the examples
directory. An interactive Jupyter interface of these examples is available on
History
v0.5.0 (2022-06-14)
Renamed to pyStrata.
v0.4.11 (2020-03-31)
Added: Depth dependent velocity variation model
Added: Output plotting functionality
Added: Ability to exclude soil type variation from bedrock
v0.4.10 (2020-03-27)
Fixed: Error in SPID variation of G/Gmax
Added: Scaling during read of SMC and AT2 input motions
v0.4.9 (2020-03-09)
Add InitialVelProfile and CompatVelProfile outputs
v0.4.8 (2019-12-11)
Remove Cython and cyko as dependencies
Added a numba based Konno-Ohmachi smoothing
v0.4.6 (2019-11-12)
FIXED #11: Dependencies missing on install.
v0.4.5 (2019-10-24)
FIXED #9: Wrong stress for some Menq components.
v0.4.4 (2019-05-22)
Incremented version because of issue with automated builds.
v0.4.3 (2019-05-22)
FIXED: Bug in MANIFEST.in
v0.4.2 (2019-05-22)
Incremented version because of issue with automated builds.
v0.4.1 (2019-05-22)
Fixed strain profile to use max_strain.
Changed README and HISTORY to markdown.
v0.4.0 (2019-03-11)
Added smoothed FourierAmplitudeSpectrum output.
v0.3.2 (2018-12-02)
Fixed building of docs.
Removed stickler.
Version double increment due to pypi naming conflict.
v0.3.0 (2018-11-30)
Converted all damping to decimal.
Added tests for KishidaSoilType.
Added tests against Deepsoil.
v0.0.1 (2016-04-30)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for pySRA 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pySRA-0.5.0.tar.gz | 44.4 kB | Without provenance | Details for pySRA-0.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pySRA-0.5.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pySRA-0.5.0-py2.py3-none-any.whl |
Total release size: 98.5 kB
Release files / pySRA-0.5.0.tar.gz
| Download URL | pySRA-0.5.0.tar.gz |
|---|---|
| Size | 44.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
29c632de32fc8cb951feb761cdc38876d1d688a28afd5b8743a675f13732d722
|
|
BLAKE2b-256 checksum How to use checksums |
820a5e580c155029d32a9368249fef04c12ed20d1bb5d7dfc504746746d808b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Release files / pySRA-0.5.0-py2.py3-none-any.whl
| Download URL | pySRA-0.5.0-py2.py3-none-any.whl |
|---|---|
| Size | 54.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
758e9f325c3664c89977a5855b19866a1d35632c14f5b0f3d78d751b1eea6feb
|
|
BLAKE2b-256 checksum How to use checksums |
f01f61323d89f588dcbc9d0ee6c5f5f13e05c8c7b937dab43d9f34a95792cc0f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Security for pySRA 0.5.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
