Advanced science.  Applied technology.

NESSUS Features

 

Inputs

  • Cross-platform graphical user interface (Windows, Linux, Mac OS X)
  • 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)

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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 XP/Vista/7
  • Linux
  • Mac OS X (10.5 and higher)
  • Contact SwRI about other systems