Metadata-Version: 2.1
Name: pyintegrity
Version: 0.0.1
Summary: fitness for service for metallic pipes
Author-email: Vamsee Achanta <vamsee.achanta@aceengineer.com>
Project-URL: repository, https://github.com/vamseeachanta/pyintegrity
Project-URL: documentation, https://github.com/vamseeachanta/pyintegrity/blob/main/README.md
Keywords: fitness for service,condition based monitoring,CBM,api579,api510,asme b31g,bs7910,api rp 2rd
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: pyyaml
Requires-Dist: openpyxl
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: plotly
Requires-Dist: tomli ; python_version < "3.11"
Provides-Extra: build
Requires-Dist: build ; extra == 'build'
Requires-Dist: twine ; extra == 'build'
Provides-Extra: dev
Requires-Dist: black ; extra == 'dev'
Requires-Dist: bumpver ; extra == 'dev'
Requires-Dist: isort ; extra == 'dev'
Requires-Dist: mypy ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'

# Integrity

Fitness for service assessment is the analysis both the present integrity of the component given the current state of damage and the projected remaining life

# Summary

**#TODO**
- Refactor input file as follows
    - Divide app configuration data from input file to avoid confusion
    - Extract pipe capacity evaluation as a separate library (i.e. github and pypi)
- Currently .xlsx is supported for wall thickness grid data. Change to simple .csv
- Results are dumped into single folder
    - Divide them into high-level and detailed results into respective folders
- The detailed technical steps implemented pyintegrity are to be documented. 

# Usage

See examples files to set up the General Metal Loss (GML) and Local Metal Loss (LML) analysis:
- GML and LML, ASME B31.8 design code, see [12in_oil_cml28](https://github.com/vamseeachanta/pyintegrity/blob/c61594eff1455ca7741b3a61ab55e44495bb1eee/src/pyintegrity/tests/test_pyintegrity_gml_lml_b314_1.py)
- GML and LML, API 1111 design code, see [16in_gas](https://github.com/vamseeachanta/pyintegrity/blob/c61594eff1455ca7741b3a61ab55e44495bb1eee/src/pyintegrity/tests/test_pyintegrity_gml_lml_b318_1.py)

The high level methodologies for the general metal loss (GML) and local metal loss (LML) assessments are shown below:
<img src="docs/ffs_methodology_general_metal.svg" width=auto, height=auto/>
<img src="docs/ffs_methodology_local_metal.svg" width=auto, height=auto/>

The detailed steps implemented in pyintegrity are per API 579, 2016 code. 

# Assumptions

# Scope

Per the API 579 damage classes, the following schematics shows the pyintegrity current scope:

<img src="docs/ffs_scope.svg" width=auto, height=auto/>


# Key References

Key references used for the package development are:

| Name             | Description      | Hyperlink                                                                                |
|:-----------------|:-----------------|:----------------------------------------------------------------------------|
| API 579 | Fitness for Service, 2021 | [API 579 2021](https://blog.ansi.org/fitness-for-service-api-579-asme-ffs-1-2021/) |
| BS 7910 | Fitness for Service | [BS 7910](https://en.wikipedia.org/wiki/BS_7910) |
| BS 7910 | Fitness for Service | [BS 7910:2013 Overview](https://www.twi-global.com/technical-knowledge/published-papers/overview-of-bs79102013) |

# Existing Software

| Name             | Description      | Hyperlink                                                                                |
|:-----------------|:-----------------|:----------------------------------------------------------------------------|
| Autodesk Codeware INSPECT | Fitness for service | [FFS](https://www.codeware.com/products/inspect/api-579-1/) |
| Autodesk Codeware INSPECT GML & LML | General and Local Metal Loss | [General and Local Metal Loss](https://www.codeware.com/products/inspect/general-and-local-metal-loss/) |
| QuestIntegrity SignalFFS | Signal Fitness-For-Service (FFS) performs fitness-for-purpose and fracture mechanics analysis on fixed and rotating equipment. | [SignalFFS](https://www.questintegrity.com/software-products/signal-fitness-for-service/) |
| BMT FlawCheck | Structural Integrity Assessment Tool | [Flawcheck](https://www.bmt.org/our-innovations/bmt-flawcheck/) |
