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Linear and weakly nonlinear dominant dynamics in a boundary layer flow
Author(s) -
Dandan Xiao,
Wenqiang Zhang,
Qiangqiang Sun,
Xuerui Mao
Publication year - 2022
Publication title -
physics of fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 180
eISSN - 1089-7666
pISSN - 1070-6631
DOI - 10.1063/5.0089997
Subject(s) - physics , boundary layer , inflow , nonlinear system , mechanics , vorticity , perturbation (astronomy) , boundary value problem , flow (mathematics) , orthogonality , classical mechanics , vortex , geometry , mathematics , quantum mechanics
The aim of this paper is to investigate the linear and weakly nonlinear dynamics in flow over a flat-plate with leading edge. Linear optimal and suboptimal inflow perturbations are obtained using a Lagrangian multiplier technique. In particular, the suboptimal inflow conditions and the corresponding downstream responses are investigated in detail for the first time. Unlike the suboptimal dynamics reported in other canonical cases such as the backward-facing step flow, the growth rate of the suboptimal perturbation is in the same order as the optimal one and both of them depend on the lift-up mechanism even though they are orthogonal. The suboptimal mode has an additional layer of vorticity that penetrates into the boundary layer further downstream, generating a second patch of high- and low-speed streaks. The further suboptimal ones spread to the free-stream without entering the boundary layer. The weakly nonlinear dynamics are examined by decomposing the flow field into multiple orders of perturbations using the Volterra series. Small structures in the higher order perturbations mainly concentrate in the region farther away from wall, suggesting a mechanism of outwards perturbation developments, which is opposite with the well reported inwards development of perturbations, i.e. from free-stream to boundary layer. The significance of these modes is then demonstrated through a prediction of flow field from the inflow condition by exploiting the orthogonality of the modes.

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