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F. Krause and K. -H. Rädler, Mean-Field Magnetohydrodynamics and Dynamo Theory (Pergamon, Oxford, 1980);, Cambridge University, Cambridge, England
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H. F. Moffatt, Magnetic Field Generation in Electrically Conducting Fluids (Cambridge University, Cambridge, England, 1978);F. Krause and K. -H. Rädler, Mean-Field Magnetohydrodynamics and Dynamo Theory (Pergamon, Oxford, 1980);
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S. Childress and A. D. Gilbert, Stretch, Twist, Fold: The Fast Dynamo (Springer-Verlag, New York, 1995);
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Gilbert, A.D.2
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These experiments are currently being performed in various groups around the world, including groups in Karlsruhe, Germany [U. Müller and R. Stieglitz, Naturwissenschaften 87, 381 (2000)];
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Naturwissenschaften
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, pp. 381
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Müller, U.1
Stieglitz, R.2
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17
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0000965018
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Madison, Wisconsin [C. Forest, private communication];, Socorro, New Mexico [S. Colgate, private communication];, and College Park, Maryland 5. The devices in Riga and Karlsruhe self-generate in constrained geometries in which internal walls severely limit turbulent fluctuations. The efforts in the other laboratories have relatively unconstrained stirred flows with typical hydrodynamic Reynolds numbers of (Formula presented). The fact that the experiment in Karlesruhe does not observe bursting is due to their constrained geometry and the consequent lack of large scale turbulent velocity fluctuations
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Cadarache, France [P. Odier, J.-F. Pinton, and S. Fauve, Phys. Rev. E 58, 7397 (1998)];Madison, Wisconsin [C. Forest, private communication];Socorro, New Mexico [S. Colgate, private communication];and College Park, Maryland 5. The devices in Riga and Karlsruhe self-generate in constrained geometries in which internal walls severely limit turbulent fluctuations. The efforts in the other laboratories have relatively unconstrained stirred flows with typical hydrodynamic Reynolds numbers of (Formula presented). The fact that the experiment in Karlesruhe does not observe bursting is due to their constrained geometry and the consequent lack of large scale turbulent velocity fluctuations.
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(1998)
Phys. Rev. E
, vol.58
, pp. 7397
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Odier, P.1
Pinton, J.-F.2
Fauve, S.3
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T. Dombre, U. Frisch, J. M. Greene, M. Hénon, A. Mehr, and A. Soward J. Fluid Mech. 167, 353 (1986).
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Mehr, A.5
Soward, A.6
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Cambridge University, Cambridge
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E. Ott, Chaos in Dynamical Systems (Cambridge University, Cambridge, 1993), Sec. 9.4.
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Chaos in Dynamical Systems
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Ott, E.1
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The expectation of similar behavior in the simulations and the much higher R experiments is also supported by the following argument. At onset, (Formula presented) the tendency to self-generate magnetic field is balanced by magnetic diffusion [the term (Formula presented) in Eq. (2)]. Shorter spatial magnetic-field scales are more rapidly damped by diffusion. Consequently, we expect that, at onset, the magnetic field varies predominantly at large spatial scales L. Thus low-pass spatial filtering of (Formula presented) for wave numbers (Formula presented) (Formula presented), leaves (Formula presented) approximately unchanged. Applying such a filter to Eq. (2) approximately reproduces Eq. (2) with (Formula presented) replaced by its filtered version (Formula presented). High fluid Reynolds number R is characterized by the creation, via turbulent cascade, of high wave-number components of (Formula presented) that are not present at lower R. The point is that high R dynamo action is essentially driven by the spatial low-pass filtered flow component (Formula presented) whose spatial variation is similar to that of flows with much lower R. Consequently, we expect our simulations to exhibit magnetic-field behavior similar to that of experiments at much higher R
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The expectation of similar behavior in the simulations and the much higher R experiments is also supported by the following argument. At onset, (Formula presented) the tendency to self-generate magnetic field is balanced by magnetic diffusion [the term (Formula presented) in Eq. (2)]. Shorter spatial magnetic-field scales are more rapidly damped by diffusion. Consequently, we expect that, at onset, the magnetic field varies predominantly at large spatial scales L. Thus low-pass spatial filtering of (Formula presented) for wave numbers (Formula presented) (Formula presented), leaves (Formula presented) approximately unchanged. Applying such a filter to Eq. (2) approximately reproduces Eq. (2) with (Formula presented) replaced by its filtered version (Formula presented). High fluid Reynolds number R is characterized by the creation, via turbulent cascade, of high wave-number components of (Formula presented) that are not present at lower R. The point is that high R dynamo action is essentially driven by the spatial low-pass filtered flow component (Formula presented) whose spatial variation is similar to that of flows with much lower R. Consequently, we expect our simulations to exhibit magnetic-field behavior similar to that of experiments at much higher R.
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36
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33847573999
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E. Ott, Physica D 76, 384 (1994).
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Physica D
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D. Sweet, Phys. Plasmas (to be published).
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