2008
DOI: 10.1017/s002211200800178x
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On steady linear diffusion-driven flow

Abstract: showed that a temperature flux condition on a sloping non-slip surface in a stratified fluid can generate a slow steady upward flow along a thin 'buoyancy layer'. Their analysis is extended here to the more-general case of steady flow in a contained fluid where buoyancy layers may expel or entrain fluid from their outer edge. A compatibility condition that relates the mass flux and temperature gradient along that edge is derived, and this allows the fluid recirculation and temperature perturbation to be determ… Show more

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Cited by 6 publications
(34 citation statements)
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“…As in Page & Johnson (2008), there are three key flow regions for steady 'diffusiondriven flow' in a closed container: on vertical or sloping surfaces there are 'buoyancy layers'; on some horizontal lines there can be thin 'R 1/3 layers'; while the remainder is the 'outer flow'. Modifications to each of these regions in the nonlinear case are described below.…”
Section: Flow Regionsmentioning
confidence: 99%
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“…As in Page & Johnson (2008), there are three key flow regions for steady 'diffusiondriven flow' in a closed container: on vertical or sloping surfaces there are 'buoyancy layers'; on some horizontal lines there can be thin 'R 1/3 layers'; while the remainder is the 'outer flow'. Modifications to each of these regions in the nonlinear case are described below.…”
Section: Flow Regionsmentioning
confidence: 99%
“…(In contrast, Page & Johnson (2008) used the constant background temperature gradient dT * 0 /dz * to determine the temperature scale, so their scaled linearized temperature, written asT here, is equivalent to T = 4z + 2 √ σT .) The velocity components of the flow are non-dimensionalized with L * and the buoyancy frequency N * = (g * α * T * /L * ) 1/2 , so (u, w) = (u * , w * )/N * L * , without the factor of used in Page & Johnson (2008). The pressure in the fluid is predominantly hydrostatic, and variations are quantified by a scaled pressure p that is nondimensionalized with ρ * 00 (N * L * ) 2 .…”
Section: Configuration and Governing Equationsmentioning
confidence: 99%
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