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<p>The complex mechanisms underpinning multiphase turbulent flows with dispersed particles play a crucial role in a wide range of natural and engineering systems. In many scenarios, rotation fundamentally modifies the transport, dispersion, and spatial organization of dispersed particles. Despite its relevance to geophysical, astrophysical, and industrial flows, publicly available datasets that simultaneously resolve carrier-flow dynamics and Lagrangian particle motion under controlled rotation are not available. In this regard, it is presented a high-resolution computational dataset of particle-laden turbulence with and without background rotation, generated using state-of-the-art direct numerical simulations. The data comprise fully resolved three-dimensional Eulerian fields coupled with time-resolved Lagrangian trajectories of sub-Kolmogorov point particles spanning tracer and inertial regimes. Simulations cover a wide range of rotation rates, enabling systematic investigation of rotation-induced anisotropy. For each case, particle positions and velocities are recorded over many integral time scales, together with Eulerian flow fields, allowing detailed physical and spectral analyses. The data are organized to support both Eulerian and Lagrangian perspectives and provide a reusable benchmark for studying particle transport, preferential concentration, and dispersion.</p>

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High-fidelity Eulerian-Lagrangian dataset of multiscale particle-laden rotating turbulence

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月23日

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  • Federico Pizzi,
  • David Martín,
  • Mona Rahmani,
  • Lluís Jofre

摘要

The complex mechanisms underpinning multiphase turbulent flows with dispersed particles play a crucial role in a wide range of natural and engineering systems. In many scenarios, rotation fundamentally modifies the transport, dispersion, and spatial organization of dispersed particles. Despite its relevance to geophysical, astrophysical, and industrial flows, publicly available datasets that simultaneously resolve carrier-flow dynamics and Lagrangian particle motion under controlled rotation are not available. In this regard, it is presented a high-resolution computational dataset of particle-laden turbulence with and without background rotation, generated using state-of-the-art direct numerical simulations. The data comprise fully resolved three-dimensional Eulerian fields coupled with time-resolved Lagrangian trajectories of sub-Kolmogorov point particles spanning tracer and inertial regimes. Simulations cover a wide range of rotation rates, enabling systematic investigation of rotation-induced anisotropy. For each case, particle positions and velocities are recorded over many integral time scales, together with Eulerian flow fields, allowing detailed physical and spectral analyses. The data are organized to support both Eulerian and Lagrangian perspectives and provide a reusable benchmark for studying particle transport, preferential concentration, and dispersion.