2007
DOI: 10.1103/physrevlett.98.104501
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Numerical Simulation of a Turbulent Magnetic Dynamo

Abstract: We present numerical simulations of a turbulent magnetic dynamo mimicking closely the Riga-dynamo experiment at Re 3:5 10 6 and 15 Re m 20. The Reynolds-averaged Navier-Stokes equations for the fluid flow and turbulence field are solved simultaneously with the direct numerical solution of the magnetic field equations. The fully integrated two-way-coupled simulations reproduced all features of the magnetic self-excitation detected by the Riga experiment, with frequencies and amplitudes of the selfgenerated magn… Show more

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Cited by 35 publications
(26 citation statements)
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References 26 publications
(21 reference statements)
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“…(1)- (5) is discretised by using a finite volume Navier-Stokes solver for general non-orthogonal structured geometries, Kenjereš and Hanjalić, [37][38][39][40] Kenjereš. 41 The Cartesian vector and tensor components in the non-staggered grid arrangements are applied, i.e., all variables are located in the centers of hexahedral control volumes (CVs).…”
Section: Methodsmentioning
confidence: 99%
“…(1)- (5) is discretised by using a finite volume Navier-Stokes solver for general non-orthogonal structured geometries, Kenjereš and Hanjalić, [37][38][39][40] Kenjereš. 41 The Cartesian vector and tensor components in the non-staggered grid arrangements are applied, i.e., all variables are located in the centers of hexahedral control volumes (CVs).…”
Section: Methodsmentioning
confidence: 99%
“…The model equations presented in the previous section are solved using an in-house developed finite volume second-order Navier-Stokes / Maxwell solver for three-dimensional flows in structured multi-block non-orthogonal geometries, Kenjereš and Hanjalić (2001,2007a,2007b. The parallel execution is based on the domain-decomposition technique utilising MPI directives.…”
Section: Methodsmentioning
confidence: 99%
“…The system of equations (1)- (5) is discretized and iteratively solved by a three-dimensional finite-volume-based integrated Navier-Stokes-Maxwell numerical solver for general nonorthogonal geometries (for more numerical details see [17][18][19][20][21][22][23][24][25]). The simulations are performed on a numerical • C. This is done to minimize the variation of the fluid physical properties and to satisfy the Boussinesq approximation.…”
mentioning
confidence: 99%