Analysis and interpretation of instantaneous turbulent velocity fields

By R. Adrian, Kenneth T. Christensen, Z.-C. Liu. 2000

924 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/1b2b3c0c6119df4295bab30915b509b802ee1d18

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In Artificial Intelligence

1. Yanhua Wu
2. Ivan Marusic
3. Ati S. Sharma
4. Hyung Jin Sung
5. B. McKeon
6. J. Lee
7. Julio Soria
8. Min S. Chong

In Computational Mechanics

1. Ivan Marusic
2. B. McKeon
3. Nicholas Hutchins
4. Hyung Jin Sung
5. J. Lee
6. M. Schultz
7. K. Flack
8. Jason Monty

Citations in the corpus

• Very-large-scale motions in a turbulent boundary layer (2010, methodology): “Here, λci was calculated from the twodimensional gradient tensor D2−D to detect wall-normal (angled vortex legs or neck) and spanwise swirling motions (vortex head) in the xz and xy planes, respectively (Adrian et al. 2000b).”
• Spatial structure of a turbulent boundary layer with irregular surface roughness (2010, methodology): “Consistent with previous observations of hairpin vortex packets in wall turbulence (Adrian et al. 2000b; Christensen & Adrian 2001), several swirling motions with clockwise rotation (hairpin heads) appear aligned in the streamwise direction and form a large-scale interface inclined slightly away fro”
• Population trends of spanwise vortices in wall turbulence (2006, background): “More recently, particle-image velocimetry (PIV) measurements at moderate Re in a turbulent boundary layer by Adrian et al. (2000b) provide evidence that hairpin structures occur throughout the outer layer and streamwise-align to create larger-scale vortex packets. The PIV data permitted visualizatio”
• Numerical and experimental study of mechanisms responsible for turbulent secondary flows in boundary layer flows over spanwise heterogeneous roughness (2015, background): “The LMRs are encapsulated by coherent ‘hairpin’ or ‘cane’ structures, associated with shear between adjacent parcels of fluid with relatively uniform momentum (Adrian et al. 2000b; Adrian 2007).”
• On coherent structure in wall turbulence (2013, methodology): “That study used a much greater wall-normal extent than those identified in Adrian et al. (2000a), which was at lower Reynolds number and in pipe flow, and a streamwise extent of at least 6δ.”
• The turbulence structure of drag-reduced boundary layer flow (2004, methodology): “The wall-normal vorticies were identified by using a low-pass filter on the velocity field ( Adrian et al. 2000 ).”
• Particle image velocimetry measurements of a backward-facing step flow (2002, methodology): “Using the inhomogeneous spatial filtering property of POD (see Adrian et al. 2000a ), one is able to investigate the contribution of the various length scales in the flow to the mean turbulence structure.”
• Vortical structures in the turbulent boundary layer: a possible route to a universal representation (2008, background): “It is shown by Zhou et al. (1999), Adrian et al. (2000a) and Chakraborty et al. (2005) that λci , which is the imaginary part of the complex eigenvalue of the velocity gradient tensor, is an efficient vortex core identification criterion.”
• Towards Reconciling the Large-Scale Structure of Turbulent Boundary Layers in the Atmosphere and Laboratory (2012, methodology): “In the laboratory, hairpin vortices have been well-documented (for example Adrian et al. 2000b; Christensen and Adrian 2001; Ganapathisubramani et al. 2003, 2005; Lee and Sung 2011) while in the ASL the evidence, though suggestive of such features, has been less conclusive (Hommema and Adrian 2003;…”
• Phase-resolved characterization of vortex–flame interaction in a turbulent swirl flame (2011, positive): “At first, the swirling strength has been calculated for the instantaneous 2D velocity fields in order to determine the pres- ence of vortices (Adrian et al. 2000).”
• Time-resolved wake structure and kinematics of bat flight (2009, methodology): “To visualize the development of the wake structure over time, we first convert time to streamwise distance (assuming that the wake structures advect with the freestream velocity) and plot an isosurface of the swirl (Adrian et al. 2000), therefore taking only the rotational part of the vorticity from”