Views from Intelligent Light
Earl Duque

EPISODE: A new user interface to automatically Extract, Reduce and Sort Large CFD Parametric Studies

Intelligent Light R&D continues to produce new tools for large scale CFDParametric Studies. EPISODE is a new large scale data management tool that enables an engineer to readily extract knowledge and insight from their large scale physics based simulations and experimental data. EPISODE provides tools that enable the user to create a relevant subset of their solution results via in-situ data extraction at regions of interest, further reduce the size of that data via proper orthogonal decomposition (POD), and then sort the parametric space of both the input and output solver parameters using self organizing maps (SOMs).

 

This project consists of new data extracts and compression methods based upon POD (proper orthogonal decomposition) and image compression methods such as JPEG. In addition, we’re developing a new UI based upon self organizing maps¬† which will automatically sort a large number of simulations based upon the parametric inputs and outputs. The result is a set of colored maps that helps to determine the trends in the data.¬† The user will be able to click on different areas of the map which will then display the results in FieldView. The results may be directly from the CFD solver, reconstructed from the POD or it may be computed from a reduced order model (ROM) that was derived from the CFD and POD results.

 

The EPISODE project will address limitations of current data analysis tools by:

  • Performing data management and post-processing in-situ, without writing to storage and without direct engineer interaction.
  • Maintain ability to support high-frequency information for maximum temporal fidelity.
  • Handle both experimental and computational data together, supporting automated batch processing.
  • Deliver post-processing capabilities to rapidly collect engineering information such as mass flows through a passage, FFTs, etc.

 

Key project collaborators include:

  • Robert Haimes from MIT – Haimes’ expertise will support the development of a scalable data extracts architecture and plug-in components.
  • Prof. Steven Gorrell from BYU – Professor Gorrell contributes CFD domain expertise in applications for gas turbines.

 

This work is sponsored by the Air Force Research Laboratory (AFRL) through a Phase II SBIR, Contract FA8650-14-C-2439, and TPOC Michael List.