Learning from Smart Lagrangian particles

ORAL

Abstract

We present a series of innovative ideas on how to track and/or reconstruct extreme events in turbulent and complex flows. These ideas are based on the instrumentation of small objects/probes that are able to sense the flow and learn from these measurements how to navigate inside it. We discuss a proof-of-concept using inertial drifters able to change their buoyancy in order to optimise vorticity tracking in 2d and 3d flows. We also argue how to use the information gathered by the particles to reconstruct the underlying flow via Lagrangian nudging of the equations of motion.

*The research leading to these results has received partial funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 339032.

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Presenters

  • Luca Biferale

    • University of Rome Tor Vergata
    • University Tor Vergata
    • University of Rome Tor Vergata, Department of Physics & INFN
    • University of Rome Tor Vergata and INFN

Authors

  • Luca Biferale

    • University of Rome Tor Vergata
    • University Tor Vergata
    • University of Rome Tor Vergata, Department of Physics & INFN
    • University of Rome Tor Vergata and INFN

  • Michele Buzzicotti

    • University of Rome Tor Vergata and INFN

  • Patricio Clark Di Leoni

    • University of Rome Tor Vergata and INFN

  • Andrea Mazzino

    • University of Genova