Home
User Guide
Learn about the features and functionality available in Compose.
CAE Applications
CORA and ISO-18571
Use the CORA and ISO-18571 functions to calculate the correlation metric between test and CAE data.

Welcome
What's New
Discover new features and enhancements.
Get Started
Discover Compose, including its language support and system requirements.
Tutorials
The Compose tutorials and associated example model files help introduce you to the basic functionality of the software.
User Guide
Learn about the features and functionality available in Compose.
- Invoke Compose
  Run the software using console, GUI, batch and start-up file methods.
- Languages and IDE
  Learn about the supported languages and utilities for coding in Compose.
- Edit Scripts
  Learn how to open, create, and close scripts.
- Run Scripts
  Click Run to execute a script.
- Profile Scripts
  Run files and profile them at the same time.
- Create Plots
  In Compose, you can create 2-D and 3-D plots using OML plotting commands.
- Edit Properties of Plots
  In Compose, you can edit the properties of plots created with OML plotting commands.
- Debug Code
  Use the Debugger to find errors in the script.
- Compose Notebook
  The Compose Notebook is a web-based implementation of Compose’s OpenMatrix Language (OML) into a Jupyter Notebook. Notebooks (see www.jupyter.org) are a powerful way to execute and demonstrate scripted languages.
- Graphical User Interfaces
  Learn about the methods, functions and file input and output options for creating a GUI.
- CAE Applications
  - CAE Reader
    Use the CAE Reader to import and work with CAE test data.
  - CORA and ISO-18571
    Use the CORA and ISO-18571 functions to calculate the correlation metric between test and CAE data.
  - Test and CAE Data Handling
    Use the ReadVector Builder and CAE Reader utilities to read in and handle CAE files and test data.
- HDF5 Viewer
  Use the HDF5 Viewer to import data and navigate through the hierarchy of .hdf5 files.
- MAT Explorer
  Use the MAT Explorer interface to explore and load variables from one or more .MAT files, providing a visual way to see the contents of selected .MAT files and to import variables into an OML session.
- Signal Viewer
  Use the Signal Viewer to import and treat (basic) signals in both time and frequency domains, as well as generate signals based on the most common waveforms such as step, chirp and sawtooth.
- Plot Assistant
  Use the Plot Assistant to create plots from the various 2D and 3D OML plot types.
- Extension Manager
  Use the Extension Manager to create custom extensions, load extensions automatically, and add custom documentation for defined features.
- OML Functions in HyperWorks Products
  OML functions can be registered from the Compose graphical user interface or via a preference file and later opened in certain HyperWorks products.
- OML Libraries
  Additional libraries can be written in the C/C++ or Fortran language and interfaced with OML.
Reference Guides
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
Appendix
Get help for the optional libraries that are available in the Extension Manager.
Frequently Asked Questions
You've got questions? We've got answers!

CORA and ISO-18571

Use the CORA and ISO-18571 functions to calculate the correlation metric between test and CAE data.

The following set of methods can be used to find correlation metrics in the form of notes using different correlation algorithms. Specifically, the CORA and ISO-18571 functions calculate the correlation metric between test and CAE data.

Multiple pairs of curves can be simultaneously correlated, meaning that various reference curves and various comparison curves can be evaluated at a single command.

CORA

The Correlation Analysis (CORA) calculates correlation metrics between CAE and Test Data signals in the form of time history. The metrics for both corridor and cross correlation are included, which are calculated independently and then combined to give a comprehensive error. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.

CORA-CORRIDOR

The Corridor method (CR) calculates correlation between two signals by means of corridor fitting. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.

CORA-CROSS CORRELATION

The cross-correlation method (CRCR) calculates correlation between two signals by calculating phase shift, size, and progression. The weighted sum of these three values gives the total cross-correlation rating.

ISO-18571

The ISO metric combines different types of algorithms to produce a reliable and robust assessment between CAE and Test Data signals in the form of time history. Included are corridor, phase, magnitude, and slope, which are calculated independently and then combined to give an overall ISO rating. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.