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Conference Papers Year : 2024

Multiresolution analysis of convergence and divergence of inertial particle velocity in turbulence

Abstract

We study the multiscale dynamics of inertial particle clustering using three-dimensional DNS data of isotropic turbulence with inertial particles considering different Stokes numbers. We apply a tessellation-based technique and thus assign a volume to each point particle. The temporal rate of change of the volumes yields the divergence of the particle velocity (Oujia et al., 2020; Maurel-Oujia et al., 2024). We perform a multiresolution analysis of the divergence on unstructured discrete particle positions (Matsuda et al., 2022). Thus the multiscale clustering dynamics is assessed and the spatial scales where clustering formation and destruction are most active, is determined for the different Stokes numbers.
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hal-04597079 , version 1 (01-06-2024)

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  • HAL Id : hal-04597079 , version 1

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Thibault Maurel-Oujia, Keigo Matsuda, Kai Schneider. Multiresolution analysis of convergence and divergence of inertial particle velocity in turbulence. 13th International Symposium on Turbulence and Shear Flow Phenomena (TSFP13) Montreal, Canada, June 25–28, 2024, Jun 2024, Montréal, Canada. ⟨hal-04597079⟩
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