Stability of a temporally evolving natural convection boundary layer on an isothermal wall
The stability properties of a natural convection boundary layer adjacent to an isothermally heated vertical wall, with Prandtl number 0.71, are numerically investigated in the configuration of a temporally evolving parallel flow. The instantaneous linear stability of the flow is first investigated b...
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Veröffentlicht in: | Journal of fluid mechanics 2019-10, Vol.877, p.1163-1185 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The stability properties of a natural convection boundary layer adjacent to an isothermally heated vertical wall, with Prandtl number 0.71, are numerically investigated in the configuration of a temporally evolving parallel flow. The instantaneous linear stability of the flow is first investigated by solving the eigenvalue problem with a quasi-steady assumption, whereby the unsteady base flow is frozen in time. Temporal responses of the discrete perturbation modes are numerically obtained by solving the two-dimensional linearized disturbance equations using a ‘frozen’ base flow as an initial-value problem at various
$Gr_{\unicode[STIX]{x1D6FF}}$
, where
$Gr_{\unicode[STIX]{x1D6FF}}$
is the Grashof number based on the velocity integral boundary layer thickness
$\unicode[STIX]{x1D6FF}$
. The resultant amplification rates of the discrete modes are compared with the quasi-steady eigenvalue analysis, and both two-dimensional and three-dimensional direct numerical simulations (DNS) of the temporally evolving flow. The amplification rate predicted by the linear theory compares well with the result of direct numerical simulation up to a transition point. The extent of the linear regime where the perturbations linearly interact with the base flow is thus identified. The value of the transition
$Gr_{\unicode[STIX]{x1D6FF}}$
, according to the three-dimensional DNS results, is dependent on the initial perturbation amplitude. Beyond the transition point, the DNS results diverge from the linear stability predictions as nonlinear mechanisms become important. |
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ISSN: | 0022-1120 1469-7645 |
DOI: | 10.1017/jfm.2019.639 |