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Clustering and energy spectra in two-dimensional dusty gas turbulence.
Pandey, Vikash; Perlekar, Prasad; Mitra, Dhrubaditya.
Affiliation
  • Pandey V; TIFR Centre for Interdisciplinary Sciences, Hyderabad 500107, India.
  • Perlekar P; TIFR Centre for Interdisciplinary Sciences, Hyderabad 500107, India.
  • Mitra D; NORDITA, Royal Institute of Technology and Stockholm University, SE-10691 Stockholm, Sweden.
Phys Rev E ; 100(1-1): 013114, 2019 Jul.
Article in En | MEDLINE | ID: mdl-31499820
ABSTRACT
We present direct numerical simulation of heavy inertial particles (dust) immersed in two-dimensional turbulent flow (gas). The dust particles are modeled as monodispersed heavy particles capable of modifying the flow through two-way coupling. By varying the Stokes number (St) and the mass-loading parameter (ϕ_{m}), we study the clustering phenomenon and the gas phase kinetic energy spectra. We find that the dust-dust correlation dimension (d_{2}) also depends on ϕ_{m}. In particular, clustering decreases as mass loading (ϕ_{m}) is increased. In the kinetic energy spectra of gas we show (i) the emergence of a different scaling regime and that (ii) the scaling exponent in this regime is not universal but a function of both St and ϕ_{m}. Using a scale-by-scale enstrophy budget analysis we show that in this emerged scaling regime, which we call the dust-dissipative range, viscous dissipation due to the gas balances the back-reaction from the dust.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Phys Rev E Year: 2019 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Phys Rev E Year: 2019 Type: Article Affiliation country: India