Multiscale geometrical Lagrangian statistics: scale-dependent curvature and torsion angles in particle-laden turbulent flows

ORAL

Abstract

We present multiscale statistics of particle trajectories in isotropic turbulence and compare the behaviour of fluid and inertial particles. The directional change of inertial particles is quantified by considering the curvature angle for different time increments. Distinct scaling behaviors of the mean angle are observed for short, intermediate and long time lags. We also introduce the scale-dependent torsion angle, which quantifies the directional change of particles moving out of the plane. The influence of the Stokes and Reynolds numbers on the mean angles and on the probability distributions are analyzed. Finally, we assess the impact of LES and particle SGS modeling on those statistics.

*MF and KS thankfully acknowledge financial support from CTR, Stanford.

Authors

  • Kai Schneider

    • I2M-CNRS, Centre de Math\'ematiques et d'Informatique, Aix-Marseille Universit\'e, Marseille, France
  • Benjamin Kadoch

    • Aix-Marseille Universit\'e, Marseille, France
    • IUSTI-CNRS, Aix-Marseille Universit\’e, Marseille, France
  • Maxime Bassenne

    • Center for Turbulence Research, Stanford University, Stanford, CA, USA
    • Center for Turbulence Research, Stanford University
  • Mahdi Esmaily-Moghadam

    • Stanford University
    • Center for Turbulence Research, Stanford University, Stanford, CA, USA
  • Marie Farge

    • LMD-IPSL-CNRS, Ecole Normale Sup\'erieure, Paris, France
    • LMD-CNRS, Ecole Normale Sup\'erieure, Paris, France
  • Wouter Bos

    • CNRS - LMFA - Ecole Centrale de Lyon
    • LMFA-CNRS, Ecole Centrale de Lyon, Universit\'e de Lyon, Ecully, France