Inputs
- Cross-platform graphical user interface (Windows, Linux)
- Seventeen probability density functions
- Define random variables in terms of mean & standard deviation or natural parameters
- Correlated random variables with most distribution types
Outputs
- Cumulative distribution function
- Probability of failure given performance level
- Performance level given probability of failure
- Probabilistic sensitivity factors
- Input variable importance levels
- Confidence bounds
Probabilistic Analysis Methods
- First-order reliability method (FORM)
- Second-order reliability method (SORM)
- Advanced Mean Value (AMV+)
- Response Surface Method (RSM)
- Gaussian Process Surrogates (GP_RSM)
- Automatic Monte Carlo simulation (MC)
- Importance sampling (ISAM)
- Latin hypercube simulation (LHS)
- Adaptive importance sampling (AIS)
- Hybrid probabilistic method (AMV+/AIS2)
- Efficient Global Reliability Analysis (EGRA)
- Probabilistic Fault-Tree Analysis (PFTA)
Results Visualization
- Scatter, bar, pie charts
- Comparison of multiple solutions
- 3D model visualization
Deterministic Analysis Capabilities
- Parameter variation analysis
- Design of Experiments (DOE)
Interfaces
- ABAQUS/Standard/Explicit
- ANSYS
- CTH
- DYNA/PARADYN
- LS-DYNA
- MADYMO
- MATLAB
- MSC.NASTRAN
- NASA analysis modules
- NASA_GRC_FEM
- NASGRO
- PRONTO
- User-defined
- WCN
Applications
- Component/system reliability
- Reliability-based optimization
- Reliability test planning
- Inspection scheduling
- Design certification
- Risk-based cost analysis
- MVFO probability contouring
- Model Validation
Other Features
- Automated restart
- Batch processing
- Distributed processing support
Operating Systems
- Microsoft Windows 10
- Linux