2006
DOI: 10.1017/s0022112005008608
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Spatial versus temporal instabilities in a parametrically forced stratified mixing layer

Abstract: A spatial instability of parametrically excited stratified mixing layer flows is considered together with the related temporal instability problem. A relatively simple iteration procedure yielding solutions of both temporal and spatial problems is proposed. Using this procedure a parametric analysis of the temporal and spatial Kelvin-Helmholtz and Holmboe instabilities is performed and characteristic features of the instabilities are compared. Both inviscid and viscous models are considered. The parametric dep… Show more

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Cited by 24 publications
(44 citation statements)
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“…Re>0.51, which is much smaller than usually considered cases and significantly smaller than the linear stability limit (Gelfgat & Kit, 2006). The graph shows that non-modal growth is possible also for α >1, at which the mixing layer flow is stable for any Reynolds number and also for the inviscid case.…”
Section: Appendix B -Eigenproblem and Complex Conjugated Eigenvaluesmentioning
confidence: 78%
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“…Re>0.51, which is much smaller than usually considered cases and significantly smaller than the linear stability limit (Gelfgat & Kit, 2006). The graph shows that non-modal growth is possible also for α >1, at which the mixing layer flow is stable for any Reynolds number and also for the inviscid case.…”
Section: Appendix B -Eigenproblem and Complex Conjugated Eigenvaluesmentioning
confidence: 78%
“…The linear stability results are taken from Gelfgat & Kit (2006) and are rescaled according to the present formulation. Apparently, the ReE(α,0) values are smaller than critical Reynolds numbers of the linear stability analysis.…”
Section: Appendix B -Eigenproblem and Complex Conjugated Eigenvaluesmentioning
confidence: 99%
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“…The optimal vectors of the perturbations are represented as Fourier modes in the streamwise and spanwise directions (∝ e i(kx+mz) ). In the cross-stream direction the perturbations are discretized and resolved by central finite-difference schemes in the same way as in Gelfgat & Kit (2006). For the three profiles the 3D maximal growths are indeed larger by an order of magnitude than the corresponding 2D ones, and are attained at later stages.…”
Section: Numerical Comparison Between 2d and 3d Growthmentioning
confidence: 99%
“…The spatial formulation arises naturally in the so-called signalling problem (see e.g. Gelfgat & Kit 2006), when spatial instability can be viewed as the result of an upstream periodic source of excitation.…”
Section: Interpretation In Terms Of Spatial Spectrummentioning
confidence: 99%