Dan S. Henningson
Royal Institute of Technology
397 Papers
1.7K Citations
Dan S. Henningson is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Boundary layer & Turbulence. The author has an hindex of 66, co-authored 369 publications. Previous affiliations of Dan S. Henningson include Defence Research Agency & SERC Reliability Corporation.
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Papers
Optimal disturbances of flow above a flat plate with an elliptic leading edge
Antonios Monokrousos,Luca Brandt,Catherine Mavriplis,Dan S. Henningson +3 more
- 01 Jan 2011
TL;DR: Adjoint-based iterative methods are employed in order to compute linear optimal disturbances in the case of a spatially growing boundary layer around an elliptic leading edge as mentioned in this paper, where the Lagrangian approa
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Low-order modeling for transition prediction applicable towind-turbine rotors
Thales Coelho Leite Fava,Mikaela Lokatt,Niels N. Sørensen,Frederik Zahle,Ardeshir Hanifi,Dan S. Henningson +5 more
- 12 Nov 2020
TL;DR: In this paper, a low-order framework was developed to predict the onset of transition over wind-turbine blades without requiring three-dimensional simulations and the effects of threedimensionalality and rotation on the transition location were also analyzed.
Nonlocal and Local Instability Analysis of Hypersonic Flows
M. Simen,Stefan Hein,F. P. Bertolotti,V. Wendt,Ardeshir Hanifi,Dan S. Henningson +5 more
- 01 Jan 1995
TL;DR: In this paper, a nonlocal, linear instability theory is used to model convective amplification of waves with weakly divergent or curved wave-rays and wavefronts, propagating in a weakly nonuniform flow.
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A procedure for computing the spot production rate in transitional boundary layers
M. Dellacasagrande,Davide Lengani,Daniele Simoni,Jan O. Pralits,K. Durović,Ardeshir Hanifi,Dan S. Henningson +6 more
TL;DR: In this article , a method for the computation of the nucleation rate of turbulent spots in transitional boundary layers from particle image velocimetry (PIV) measurements is presented, which can accurately predict the statistical evolution of transition even when the nearwall velocity field is not directly available from the measurements.
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