2005
DOI: 10.1103/physrevlett.94.164502
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Numerical Study of Dynamo Action at Low Magnetic Prandtl Numbers

Abstract: We present a three-pronged numerical approach to the dynamo problem at low magnetic Prandtl numbers PM . The difficulty of resolving a large range of scales is circumvented by combining Direct Numerical Simulations, a Lagrangian-averaged model, and Large-Eddy Simulations (LES). The flow is generated by the Taylor-Green forcing; it combines a well defined structure at large scales and turbulent fluctuations at small scales. Our main findings are: (i) dynamos are observed from PM = 1 down to PM = 10 −2 ; (ii) th… Show more

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Cited by 166 publications
(232 citation statements)
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“…In this context, fluctuations favor or impede the magnetic field growth depending on their intensity or correlation time. This observation is confirmed by recent numerical simulations of simple periodic flows with non-zero mean flow [12,13] showing that turbulence increases the dynamo threshold.In the sequel we use direct and stochastic numerical simulation of the magnetohydrodynamic (MHD) equations to explore a possible explanation, linked with the existence of non-stationarity of the largest scales. We found that the addition of a stochastic noise to the mean velocity could significantly alter the dynamo threshold.…”
supporting
confidence: 74%
“…In this context, fluctuations favor or impede the magnetic field growth depending on their intensity or correlation time. This observation is confirmed by recent numerical simulations of simple periodic flows with non-zero mean flow [12,13] showing that turbulence increases the dynamo threshold.In the sequel we use direct and stochastic numerical simulation of the magnetohydrodynamic (MHD) equations to explore a possible explanation, linked with the existence of non-stationarity of the largest scales. We found that the addition of a stochastic noise to the mean velocity could significantly alter the dynamo threshold.…”
supporting
confidence: 74%
“…However, for a wide range of values of the Pèclet number, D x remains approximately constant. This is in good agreement with theoretical expectations that for small enough ν and κ, the effective turbulent Schmidt number should be of order one (see [35] for similar arguments in the case of the turbulent magnetic Prandtl number).…”
Section: Effect Of S C and P E Numberssupporting
confidence: 78%
“…For smooth flows on larger scales, the artificial viscosity is much smaller than the magnetic diffusivity, so that our "effective" magnetic Prandtl number on these scales is smaller than unity. Given these conditions, our results do not provide a proper basis for commenting on the much debated question of the dependence of turbulent dynamo action on the value of Pr m (e.g., Boldyrev & Cattaneo 2004;Ponty et al 2005;Schekochihin et al 2005;Brandenburg & Subramanian 2005). Fig.…”
Section: Numerical Modelmentioning
confidence: 82%