pyFBS
pyFBS is a Python package for Frequency Based Substructuring, Transfer Path Analysis and also, as a new addition, multi-reference modal identification. It enables the user to use state-of-the-art dynamic substructuring methodologies in an intuitive manner.
With the package also basic and application examples are provided, together with real datasets so you can directly try out the capabilities of the pyFBS.
Features
3D display
FRF synthetization
Virtual Point Transformation
System Equivalent Model Mixing
Singular Vector Transformation
Experimental Modal Analysis
For more information on features, basic and application examples check out the documentation
Citation
If you use pyFBS in your research, please consider citing our published paper in the Journal of Open Source Software.
License
Licensed under the MIT license.
Metadata
Release files for pyFBS 1.0.7
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 |
|---|---|---|---|---|
| pyfbs-1.0.7.tar.gz | 4.6 MB | Without provenance | Details for pyfbs-1.0.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyfbs-1.0.7-py3-none-any.whl | Python 3 | none | any | Details for pyfbs-1.0.7-py3-none-any.whl |
Total release size: 4.7 MB
Release files / pyfbs-1.0.7.tar.gz
| Download URL | pyfbs-1.0.7.tar.gz |
|---|---|
| Size | 4.6 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.14.8
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Release files / pyfbs-1.0.7-py3-none-any.whl
| Download URL | pyfbs-1.0.7-py3-none-any.whl |
|---|---|
| Size | 139.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
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Security for pyFBS 1.0.7
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