High-Cycle-Fatigue-Tool (HCFT or HcFatFit)
A tool with GUI (Graphical User Interface) for processing CSV files obtained from fatigue experiments up to the high-cycle fatigue ranges. Additionally, tests with monotonic loading can be processed.
Features:
- Simple plot functionality for columns of the CSV file.
- Extracting Max and Min values and filtering the undesired cycles.
- Extracting and plotting the fatigue creep curve (cycles number vs displacement).
- Smoothing function for fatigue creep curves.
- Ability to process file with +20 Gb size.
- Built-in tool for joining CSV (or TXT) files.
- Graphical User Interface with all functions and parameters
Usage:
- Option 1 (Installing Python environment with all needed libraries)
- Install Miniconda (download link).
- Perform the following commands from Anaconda Command Prompt to install the required libraries:
conda install -c anaconda matplotlibconda install -c anaconda scipyconda install -c anaconda pandasconda install -c anaconda traitsconda install -c anaconda traitsui - Clone this repository or download its contents
- Run the tool using the command
python PATH_TO_THE_TOOL_REPOSITORY/hcft.py
- Option 2 (Direct install of the tool from the exe installer file)
You can download and install the tool on Windows using on of these installers:Windows 64bit: hcft_v1.0_64bit.exe
Windows 32bit: hcft_v1.0_32bit.exe
Cite with: 
The repository can refered to using a unique doi hosted at https://zenodo.org
Screenshots:
Metadata
Release files for hcft 1.0.2
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 | |
|---|---|---|---|---|
| hcft-1.0.2.tar.gz | 18.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hcft-1.0.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 50.3 kB
Release files / hcft-1.0.2.tar.gz
| Download URL | hcft-1.0.2.tar.gz |
|---|---|
| Size | 18.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
74920f8a0aa38063f285947120915bb93f7ab9d89d8da644ebc7bc9dde4e1de9
|
|
BLAKE2b-256 checksum How to use checksums |
6ffd214c46eb8145c2dd80b48e4d32202b9e3cf32b7ed0ca453eda04a381705c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1
|
Release files / hcft-1.0.2-py2.py3-none-any.whl
| Download URL | hcft-1.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 31.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
209a1900d704a4af034c194e57b9ddf0275e55c534a8ff14d5d11ebc0b4feb16
|
|
BLAKE2b-256 checksum How to use checksums |
1382308310befd930eadba87bac695e6beebbe04ae1a13cc646b78421bf0c64b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1
|
Security for hcft 1.0.2
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.