Ifdt-Intelligent in-situ feature detection, extraction, tracking and visualization for turbulent flow simulations

Earl P.N. Duque, Daniel Hiepler, Christopher P. Stone, Steve M. Legensky, Kwan Liu Ma, Christopher Muelder, Jishang Wei

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

Intelligent In-Situ Feature Detection, Tracking and Visualization for Turbulent Flow Simulations (IFDT) is a new prototype visualization and CFD data analysis software system for flow feature data tracking and extraction. The system utilizes volume rendering with an Intelligent Adaptive Transfer Function that allows the user to train the visualization system to highlight flow features such as turbulent vortices. A feature extractor based upon a Prediction-Correction method then tracks and extracts the flow features and determines the statistics of features over time. The method executes In-Situ with a flow solver via a Python Interface Framework to avoid the overhead of saving data to file. This prototype system enables the user to readily explore, detect, track and analyze flow features predicted by large scale unsteady CFD simulations.

Original languageEnglish (US)
StatePublished - Jan 1 2012
Event7th International Conference on Computational Fluid Dynamics, ICCFD 2012 - Big Island, United States
Duration: Jul 9 2012Jul 13 2012

Conference

Conference7th International Conference on Computational Fluid Dynamics, ICCFD 2012
CountryUnited States
CityBig Island
Period7/9/127/13/12

Keywords

  • Computational fluid dynamics
  • Feature detection
  • Feature tracking
  • In-situ
  • Turbulence
  • Visualization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Computational Mechanics
  • Mechanical Engineering
  • Mechanics of Materials
  • Condensed Matter Physics

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  • Cite this

    Duque, E. P. N., Hiepler, D., Stone, C. P., Legensky, S. M., Ma, K. L., Muelder, C., & Wei, J. (2012). Ifdt-Intelligent in-situ feature detection, extraction, tracking and visualization for turbulent flow simulations. Paper presented at 7th International Conference on Computational Fluid Dynamics, ICCFD 2012, Big Island, United States.