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Probabilistic Risk Analysis Tool (fault tree analysis, event tree analysis, etc.)

Home Page: https://scram-pra.org

License: GNU General Public License v3.0

Shell 0.25% CMake 1.67% C++ 92.76% Python 5.27% Dockerfile 0.05%
c-plus-plus python fault-tree event-tree pra psa risk-analysis reliability-engineering bdd zbdd

scram's People

Contributors

bavovanachte avatar rakhimov avatar vascom avatar

Stargazers

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scram's Issues

Conditional Event

Implement conditioning event that can be used with Priority And and Inhibit gates.

Priority AND gate

Requires development of a dynamic tree. This gate development might be followed by other dynamic gates, such as sequence (SEQ).

XML input 'Label' element

Add processing for XML input arbitrary 'label' description for elements, such as fault trees, gates, events.

Name clashes

Primary events may use names of Intermediate events, and vice versa. This should not be allowed.
Currently, this bug causes a circular inclusion upon set expansion and leads to an infinite loop.

Initial GUI Setup

Initial minimalistic GUI setup.

  • CMake setup for Qt
  • Qt GUI coding style, standards, and best practices
  • GUI documentation and references (Human interface guidelines)
  • Retire the Graphviz-based visualization approach
  • Very basic main window
  • CI and automated tests

Clarify Installation

  • Provide cmake instructions to build and install with tests.
  • Create a python script to make the installation easier.
  • Update installation instructions

Implement Monte Carlo Calculations for FTA

  • Algorithm
  • FTA Equation generation
  • RNGs and Distributions
  • Implementation
  • Input by a user
  • Custom distributions by a user (Linear extrapolations between points.)
  • Uncertainty analysis
  • Report the analysis results for top event

Theory Information

Short description of fault tree, event tree, ccf, and other analysis for general users.

Cutset Cut-off Probability

Introduce cut-off probability for cut sets that should be included into total probability calculations.

Report Time

Report time taken by the most demanding functions, such as minimal cut set generation and probability calculations.

The MCUB Approximation

Implement the Min-Cut-Upper Bound Approximation for probability calculations from minimal cut sets.

Code Cleaning

Clean redundant code and apply styles: Google Style, PEP 8

User-input testing

Develop more incorrect input files and include them in the python script and tests.

Benchmarking

Automate output comparison for benchmark inputs.

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