FLife - Vibration Fatigue by Spectral Methods
Obtaining vibration fatigue life in the spectral domain.
Installing this package
Use pip to install it by:
$ pip install FLifeSupported methods in the frequency-domain
Dirlik,
Tovo Benasciutti,
Zhao Baker,
Narrowband,
Alpha 0.75,
Wirsching Light,
Rice,
Gao Moan,
Petrucci Zuccarello.
Rainflow (time-domain) is supported using the fatpack package.
Simple examples
Here is a simple example on how to use the code:
import FLife
import numpy as np
dt = 1e-4
x = np.random.normal(scale=100, size=10000)
C = 1.8e+22 # S-N curve intercept [MPa**k]
k = 7.3 # S-N curve inverse slope [/]
# Spectral data
sd = FLife.SpectralData(input=x, dt=dt)
# Rainflow reference fatigue life
# (do not be confused here, spectral data object also holds the time domain data)
rf = FLife.Rainflow(sd)
# Spectral methods
dirlik = FLife.Dirlik(sd)
tb = FLife.TovoBenasciutti(sd)
print(f' Rainflow: {rf.get_life(C = C, k=k):4.0f} s')
print(f' Dirlik: {dirlik.get_life(C = C, k=k):4.0f} s')
print(f'Tovo Benasciutti 2: {tb.get_life(C = C, k=k, method="method 2"):4.0f} s')Reference: Janko Slavič, Matjaž Mršnik, Martin Česnik, Jaka Javh, Miha Boltežar. Vibration Fatigue by Spectral Methods, From Structural Dynamics to Fatigue Damage – Theory and Experiments, ISBN: 9780128221907, Elsevier, 1st September 2020, see Elsevier page.
4 maintainers
Metadata
4 maintainers
Release files for FLife 1.1
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 | |
|---|---|---|---|---|
| FLife-1.1.tar.gz | 12.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| FLife-1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.4 kB
Release files / FLife-1.1.tar.gz
| Download URL | FLife-1.1.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0cac446132b08406bd77403e6498dd17b6225d0f21ea34f7ad441214adad7ddd
|
|
BLAKE2b-256 checksum How to use checksums |
5df3cb875c10dd51372c3493dff01f9a1e5b3f8bf30b6ff69192d9aed0780c02
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
|
Release files / FLife-1.1-py3-none-any.whl
| Download URL | FLife-1.1-py3-none-any.whl |
|---|---|
| Size | 21.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
67c7bc1c07d3d8ea8333c085ba7381100d6f9a7b7b620b7c28e29bbb266abe77
|
|
BLAKE2b-256 checksum How to use checksums |
4b50dfc2260306be06bdd8af5891ec22e88db2a8c7c5dcd809d2c6bf941bb4a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
|
Security for FLife 1.1
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.
