2020Physical Review FluidsRequires access

Similarity of dissipation and enstrophy in particle-induced small-scale turbulence

Zhuo Wang, Kun Luo, Junhua Tan, Dong Li, Jianren Fan

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Abstract

Direct numerical simulations and the immersed boundary method show that finite-size particles greatly enhance small-scale motions. Enstrophy and dissipation become similar in this augmented small-scale turbulence, as manifest in statistical relations and spatial distributions. This kind of similarity also exists in single-phase high-Reynolds-number turbulence but not in low-Reynolds-number turbulence.

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What this paper is about

Direct numerical simulations and the immersed boundary method show that finite-size particles greatly enhance small-scale motions. Enstrophy and dissipation become similar in this augmented small-scale turbulence, as manifest in statistical relations and spatial distributions. This kind of similarity also exists in single-phase high-Reynolds-number turbulence but not in low-Reynolds-number turbulence.

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Available abstract

Direct numerical simulations and the immersed boundary method show that finite-size particles greatly enhance small-scale motions. Enstrophy and dissipation become similar in this augmented small-scale turbulence, as manifest in statistical relations and spatial distributions. This kind of similarity also exists in single-phase high-Reynolds-number turbulence but not in low-Reynolds-number turbulence.

Key concepts: Enstrophy, Turbulence, Dissipation, Reynolds stress equation model, Reynolds decomposition, K-epsilon turbulence model, Physics, Reynolds number

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