A space-time integral minimisation method for the reconstruction of velocity fields from measured scalar fields.

POSTER

Abstract

Scalar image velocimetry (SIV) reconstructs velocity vectors from scalar field measurements. The usual technique involves minimising a cost functional, that penalises the deviation from the scalar conservation equation. This approach requires the scalar measurements to be sufficiently resolved and relatively noise free, such that space and time derivatives can be accurately evaluated. To alleviate these requirements, we propose an improved SIV scheme, which does not require evaluating the space and time derivatives of the measured scalar field. Improved velocity reconstruction is demonstrated for a two dimensional, synthetic field. We furthermore apply the scheme to interferograms of the thickness field of a turbulent soap film. The reconstructed velocity fluctuations are within 10 % of laser Doppler velocimetry measurements.

*This research is supported by the National Research Foundation Singapore under its Campus for Research Excellence and Technological Enterprise programme. The Center for Environmental Sensing and Modeling is an interdisciplinary research group of the Singapore MIT Alliance for Research and Technology.

Presenters

  • jurriaan gillissen

    • University College London

Authors

  • jurriaan gillissen

    • University College London
  • Alexandre Vilquin

    • Bordeaux University
  • Hamid Kellay

    • Bordeaux University
  • Roland Bouffanais

    • Singapore University of Technology and Design
  • Dick K P Yue

    • Massachusetts Institute of Technology
    • Massachusetts Inst of Tech-MIT