Attune 3.0

Welcome to Attune’s documentation. Attune™ is a program for test/analysis correlation and model updating. It uses design sensitivity and optimization methods to identify model changes that minimize the differences between test and analysis results. This documentation walks through how to install Attune, how to set up your analysis for Attune, how to use Attune to correlate your analysis model to your test data, and finally how to use Attune to update your model automatically to reflect the changes calculated during the correlation process.

You can select a topic directly below, or on the tree on the left. You can also travel sequentially between the topics by pressing the Next button on each page.

• Overview
  • Sensitivity Analysis
  • Optimization Techniques
    • Monte Carlo
    • Gradient
    • Genetic Algorithm
• Revision History
• New Features
• Known Issues
• Installation
  • Sentinel RMS Installation
    • Installing Sentinel RMS
    • Environment Variables
    • Checking Your License Status
    • Adding Or Updating Your License File
  • Attune Installation
    • Matlab Version
      • Using the Attune Installer to Install Attune for MATLAB
      • Manually Putting Attune in Your Path (setting your MATLABPATH)
        • Option 1 (does not require sysadmin)
        • Option 2 (requires sysadmin)
        • Option 3 (recommended; requires sysadmin)
      • Configuring the Java Paths
    • Standalone Version
• Getting Started
  • Starting Attune
  • Preparing Data
    • Preparing Test Data
    • Preparing Analysis Data for Nastran
    • Guidelines for Creating Design Variables for Nastran
    • Preparing Analysis Data for Abaqus
    • Preparing Analysis Data for Salinas
  • Main Interface
    • Configuration Region
    • Summary Region
    • Action Region
    • Menu Region
      • File Menu
      • Export Menu
      • Reset Menu
      • Help Menu
      • Preferences
        • Design Tab
        • State Tab
        • Configuration Tab
        • Optimization Tab
  • Configuration Form
    • Test Data Tab
    • Node Mapping Form
    • Analysis Data Tab
    • Mass Tab
    • Design Variables Tab
    • Preferences Tab
  • Design Variable Form
  • State Variable Form
  • Mode Match Form
    • Visual Compare Form
  • Genetic Algorithm Form
    • GA Plot Options
  • Gradient Algorithm Form
  • Monte Carlo Form
  • Optimization History Form
  • Input Data Update Form
  • Pushback Design Form
  • Property Status Form
  • Excel Output Form
• Theory
  • Model Reduction
  • Modal Calculations
  • Cross-Orthogonality
  • Cross-MAC
  • Sensitivity Calculations
  • Optimization
  • RSS Option for Optimization
  • Gradient-based Optimization
  • Genetic Algorithm Optimization
  • Composite Sensitivity
• Demo
  • Example Overview
  • Initial Configuration Creation
  • Design Variable Creation
  • Comparison of Test and Analysis
  • Preparing for Optimization
  • Optimization
• Troubleshooting
• Reference
• Appendix