table of contents
SCRAM(1) | SCRAM Manual | SCRAM(1) |
NAME¶
SCRAM - Command-line Risk Analysis Multi-tool
SYNOPSIS¶
scram [options] input-files...
DESCRIPTION¶
SCRAM is a probabilistic risk analysis (PRA) tool. It can perform event tree analysis, static fault tree analysis, analysis with common cause failure models, probability calculations with importance analysis, and uncertainty analysis with Monte Carlo simulations. This tool can handle non-coherent fault trees, containing NOT logic.
SCRAM works with PRA models and constructs described in the Open-PSA Model Exchange Format.
OPTIONS¶
- --help
- Display this help message
- --version
- Display version information
- --config-file path
- XML file with analysis configurations
- --allow-extern
- **UNSAFE** Allow external libraries
- --validate
- Validate input files without analysis
- --bdd
- Perform qualitative analysis with BDD
- --zbdd
- Perform qualitative analysis with ZBDD
- --mocus
- Perform qualitative analysis with MOCUS
- --prime-implicants
- Calculate prime implicants
- --probability bool
- Perform probability analysis
- --importance bool
- Perform importance analysis
- --uncertainty bool
- Perform uncertainty analysis
- --ccf bool
- Perform common-cause failure analysis
- --sil bool
- Compute the Safety Integrity Level metrics
- --rare-event
- Use the rare event approximation
- --mcub
- Use the MCUB approximation
- -l [ --limit-order ] int
- Upper limit for the product order
- --cut-off double
- Cut-off probability for products
- --mission-time double
- System mission time in hours
- --time-step double
- Time step in hours for probability analysis
- --num-trials int
- Number of trials for Monte Carlo simulations
- --num-quantiles int
- Number of quantiles for distributions
- --num-bins int
- Number of bins for histograms
- --seed int
- Seed for the pseudo-random number generator
-o [ --output-path ] path Output path for reports
- --no-indent
- Omit indentation whitespace in output XML
- --verbosity int
- Set log verbosity
SEE ALSO¶
January 2018 | SCRAM 0.16.2 |