UNIPASS®

UNIPASS provides businesses with the most precise prediction solutions possible. After decades of development, validation, and operation, UNIPASS software brings innovative solutions to some of the world’s top technology-driven organizations, including NASA, the U.S. Army, Boeing, and United Technologies, among many others. Indeed, UNIPASS has earned the esteem of the United States Army as “Best In Class.” 

State-of-the-Art

Problem Definition

Delivered to the desktop through a familiar windows-based interface, with a simple menu-driven system that integrates easily into most current computations environments, UNIPASS provides most likely outcomes, computes the probabilities necessary for quantitative risk assessment and system reliability evaluation, predicts the likelihood of extreme events, and identifies key process drivers including input variables and uncertainties. The information obtained may be used to develop measurements, improvements, monitoring and control plans in Six Sigma projects.

User-Friendly

Defining Variables

  • UNIPASS makes it easy to define the process input variables and uncertainties. Version 6.5 provides:
  • 58 distribution types including one user-defined, 5 deterministic (single value and curve), 6 discrete and 47 continuous distributions.
  • Multiple variable definition methods
  • Easy variable definition and update
  • Unlimited statistical tables
  • CDF/PDF calculator
  • 4 classes of random variables, including independent variables, dependent variables with correlation matrix, and 2 classes of conditional variables.

Model Simply

Constructing Predictive Models

Implicit and explicit process models are easily built with UNIPASS. Version 6.5 provides:

  • 85 mathematical functions for modeling any complex event
  • 9 different functions types: Time Dependent Reliability, Numerical Functions, Trigonometric Functions, Interface Functions, Statistical Functions, Logical Functions, Logical Selection Functions, DO, and Switch (Go To)

  • The ability to quickly build equations with a click of the mouse
  • The ability to define functions which depend on other previously defined functions
  • The ability to simultaneously integrate information from multiple sources
  • Easy definition of cut set functions and minimum cut sets for system problems
  • The ability to improve the capability of commercial and/or proprietary software

Breakthrough Design

Constructing Predictive Models

Four Breakthrough Design and Analysis Types to Solve Complex Technical and Business Problems. UNIPASS 6.5 is offering the most comprehensive probabilistic solutions by providing five state-of-the-art probabilistic analysis and design solutions including Probability Analysis, Inverse Probability Analysis, PDF/CDF Analysis, Robust Design, and Optimization (including reliability-based optimization).

Choice of Methods

Analysis Types

A Wide Choice of Methods to Perform Complex Probabilistic Analysis and Design

UNIPASS 6.5 provides literally hundreds of probabilistic methods for performing Probabilistic Analysis in six categories including:

  • First-Order Reliability Methods (FORM)
  • Second-Order Reliability Methods (FORM)
  • Simulation Methods (SM)
  • Importance Sampling Methods (ISM)
  • Response Surface Methods (RSM
  • Mean-Value-Based Method (MVBM)

Choice of Types

Problem Types to Simulate All Situations

UNIPASS 6.5 provides the capability for solving six different problem types:

  • Component Problem
  • Series System Problem
  • Parallel System Problem
  • General System Problem including K out of N System Problem
  • Conditional System Problem
  • Standby System Problem

Better Insights

Probabilistic Methods

Numerous Sensitivity Measures to Better Provide Insight into the Process

The following sensitivity measurements are provided by UNIPASS:

  • Sensitivity of limit-state function with respect to the random variables at the Most Probable Point (MPP) in both standard, normal and original space.
  • Sensitivity of failure probability and/or reliability index with respect to the random variables, mean, standard deviations, and distributions parameters.
  • Dimensionless, mean and standard deviation-based scaled sensitivity of failure probability and/or reliability index with respect to random variables, mean and standard deviations.

Multiple System Interface

Results

Four Easy Ways to Interface with Multiple Software Systems Simultaneously

The UNIPASS interface modules allow simultaneous communication with multiple software systems. While enhancing the capabilities of these software systems, UNIPASS minimizes the number of deterministic software runs needed to perform Probabilistic Analysis. Version 6.5 interface options include:

  • Generic Interface: This interface, without any coding, allows simultaneous integration with one or more commercial and/or in-house software systems with multiple standard input and output files.
  • Customized Interface: This interface allows simultaneous integration with one or more commercial and/or in-house software systems with multiple standard input and nonstandard output files.
  • System Command Interface: This interface provides a flexible and robust alternative to the Generic and Customized Interfaces to integrate with one or more commercial and/or in-house software systems with multiple, nonstandard, input and output files.
  • MSC/NASTRAN Interface: This interface provides for performing probabilistic finite element analysis using MSC/NASTRAN finite element code (interface with other finite element software may be established using other interface options).

Quick Integration

Requirements

Multiple Operating Systems to Quickly Integrate into Most Existing Environments

UNIPASS is easy to use and easy to integrate into most existing environments without a significant learning curve or additional hardware investment. Version 6.5 is compatible with all MS Windows Systems. Furthermore, utilizing its UniFace module, UNIPASS 6.5 can communicate with software systems residing on UNIX or other popular systems.

Learn More

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