pyintegrity 0.0.1

fitness for service for metallic pipes

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
• GML and LML, API 1111 design code, see 16in_gas

The high level methodologies for the general metal loss (GML) and local metal loss (LML) assessments are shown below:

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:

Key References

Key references used for the package development are:

Name	Description	Hyperlink
API 579	Fitness for Service, 2021	API 579 2021
BS 7910	Fitness for Service	BS 7910
BS 7910	Fitness for Service	BS 7910:2013 Overview

Existing Software

Name	Description	Hyperlink
Autodesk Codeware INSPECT	Fitness for service	FFS
Autodesk Codeware INSPECT GML & LML	General and Local Metal Loss	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
BMT FlawCheck	Structural Integrity Assessment Tool	Flawcheck