NESSUS 9.6 Release Notes
October 18 2011
NESSUS 9.0 and newer bring many new enhancements. With NESSUS 9.5, the graphical interface has been reworked to greatly simplify the process of setting up and solving a problem. The following list provides an overview of the highlights in these releases.
New Capabilities and Enhancements
New in Version 9.6.3
- Improved compatibility with Windows 7 (elevated permissions not required)
- Minor bug fixes
New in Version 9.6.2
- Changed GP regression model and RSM_GP method to build GP model with linear trend function instead of constant
New in Version 9.6.1
- Added polynomial coefficients and goodness of fit statistics to *.out file for regression models
- Updated Abaqus interface to work with version 6.11
- Several minor bug fixes for the GUI
New in Version 9.6
- New capability for global sensitivity analysis using variance decomposition
- Identify important variables based on their contribution to total variance of the model response
- Three variance decomposition analysis methods are provided
- New wizard for pasting and importing data into NESSUS tables
- Bug fixes:
- Fixed error when running LHS with triangular distribution
- Fixed bug when using deterministic analysis with deterministic variables
New in Version 9.5.5
- CTH interface enhancements and bug fixes:
- Corrected issue with checking for existing error file for latest compilers
- Defines last time response value for the restart database when the response is a time history file
- Enhancements and bug fixes for the WCN model:
- Added user definition for cycles corresponding to the endurance limit
- Improved checks for a, c, and K validity limits
New in Version 9.5.4
- Bug fixes for Abaqus displacement response extraction
New in Version 9.5.3
- New regression model: Gaussian Process
- NASTRAN results enhancements:
- Ability to work with larger models
- Capabilities for composite materials, including composite failure indices
- User-defined datablock name
- Debug option
- Bug fixes to use correct response level with EGRA and ISMPP
New in Version 9.5
- Simplified outline layout
- Problem Definition node begins with problem statement definition instead of system definition (now Fault Tree Definition)
- Fault Tree, Correlations, and Confidence Bounds are now accessed via popup windows instead of separate outline nodes
- Consolidated "Deterministic Analysis" and "Parameter Variations Analysis"
- Consolidated probabilistic analysis type and method configurations
- Simplified procedure for running analyses and viewing results
- Improved interfaces for generating finite difference step sizes and deterministic input values (parameter variations)
- Inverse reliability analysis support for RSMGP
- Additional advanced options for EGRA
- Fix for triangular distribution
New in Version 9.1
- Improved distribution editing interface
- PDF equations displayed in the GUI
- Short descriptions of distribution parameters in GUI
- Support for MacOS X
- Miscellaneous minor bug fixes
New in Version 9
- New Reliability Analysis Methods
- ISMPP: Importance sampling at user-defined MPP
- EGRA: State-of-the-art surrogate-based method designed for extremely expensive response functions. Unlike MPP-based methods, it is not gradient-based
- RSMGP: Gaussian process surrogate method
- LHS enhancements (advanced options)
- Optimal design based on max-min distance criterion
- 3 correlation reduction methods for small samples
- Capability to augment (double) sample size while maintaining Latin Hypercube structure
- Probability distribution modeling
- New distributions: beta, exponential GEVmax, GEVmin, gamma, Pareto, triangular, uniform
- Capability to switch between definition in terms of natural parameters or mean & standard deviation
Operating Systems
- Windows (XP, Vista, 7)
- Linux
- Mac OS X