Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Bharathram Ganapathisubramani is active.

Publication


Featured researches published by Bharathram Ganapathisubramani.


Journal of Fluid Mechanics | 2003

Characteristics of vortex packets in turbulent boundary layers

Bharathram Ganapathisubramani; Ellen K. Longmire; Ivan Marusic

Stereoscopic particle image velocimetry (PIV) was used to measure all three instantaneous components of the velocity field in streamwise–spanwise planes of a turbulent boundary layer at Re τ =1060 ( Re θ =2500). Datasets were obtained in the logarithmic layer and beyond. The vector fields in the log layer ( z + =92 and 150) revealed signatures of vortex packets similar to those proposed by Adrian and co-workers in their PIV experiments. Groups of legs of hairpin vortices appeared to be coherently arranged in the streamwise direction. These regions also generated substantial Reynolds shear stress, sometimes as high as 40 times − uw . A feature extraction algorithm was developed to automate the identification and characterization of these packets of hairpin vortices. Identified patches contributed 28% to − uw while occupying only 4% of the total area at z + =92. At z + =150, these patches occupied 4.5% of the total area while contributing 25% to − uw . Beyond the log layer ( z + =198 and 530), the spatial organization into packets is seen to break down.


Journal of Fluid Mechanics | 2007

Effects of upstream boundary layer on the unsteadiness of shock-induced separation

Bharathram Ganapathisubramani; Noel T. Clemens; D. S. Dolling

The relationship between the upstream boundary layer and the low-frequency, large-scale unsteadiness of the separated flow in a Mach 2 compression ramp interaction is investigated by performing wide-field particle image velocimetry (PIV) and planar laser scattering (PLS) measurements in streamwise–spanwise planes. Planar laser scattering measurements in the upstream boundary layer indicate the presence of spanwise strips of elongated regions of uniform momentum with lengths greater than 40?. These long coherent structures have been observed in a Mach 2 supersonic boundary layer (Ganapathisubramani, Clemens & Dolling 2006) and they exhibit strong similarities to those that have been found in incompressible boundary layers (Tomkins & Adrian 2003; Ganapathisubramani, Longmire & Marusic 2003). At a wall-normal location of y/?=0.2, the inferred instantaneous separation line of the separation region is found to oscillate between x/?=?3 and ?1 (where x/?=0 is the ramp corner). The instantaneous spanwise separation line is found to respond to the elongated regions of uniform momentum. It is shown that high- and low-momentum regions are correlated with smaller and larger size of the separation region, respectively. Furthermore, the instantaneous separation line exhibits large-scale undulations that conform to the low- and high-speed regions in the upstream boundary layer. The low-frequency unsteadiness of the separation region/shock foot observed in numerous previous studies can be explained by a turbulent mechanism that includes these elongated regions of uniform momentum


Journal of Fluid Mechanics | 2005

Investigation of large-scale coherence in a turbulent boundary layer using two-point correlations

Bharathram Ganapathisubramani; Nicholas Hutchins; William Hambleton; Ellen K. Longmire; Ivan Marusic

Stereoscopic particle image velocimetry (PIV) measurements are made in streamwise–spanwise and inclined cross-stream planes (inclined at


Journal of Fluid Mechanics | 2006

Large-scale motions in a supersonic turbulent boundary layer

Bharathram Ganapathisubramani; Noel T. Clemens; D. S. Dolling

45^\circ


Journal of Fluid Mechanics | 2009

Low-frequency dynamics of shock-induced separation in a compression ramp interaction

Bharathram Ganapathisubramani; Noel T. Clemens; D. S. Dolling

and


Journal of Fluid Mechanics | 2011

Three-dimensional conditional structure of a high-Reynolds-number turbulent boundary layer

Nicholas Hutchins; Jason Monty; Bharathram Ganapathisubramani; H. C. H. Ng; Ivan Marusic

135^\circ


Physics of Fluids | 2006

Experimental investigation of vortex properties in a turbulent boundary layer

Bharathram Ganapathisubramani; Ellen K. Longmire; Ivan Marusic

to the principal flow direction) of a turbulent boundary layer at moderate Reynolds number (


ieee visualization | 2003

Effectively visualizing multi-valued flow data using color and texture

Timothy Urness; Victoria Interrante; Ivan Marusic; Ellen K. Longmire; Bharathram Ganapathisubramani

\hbox{\it Re}_\tau\,{\sim} 1100


Journal of Fluid Mechanics | 2010

Amplification of enstrophy in the far field of an axisymmetric turbulent jet

O. R. H. Buxton; Bharathram Ganapathisubramani

). Two-point spatial velocity correlations computed using the PIV data reveal results that are consistent with an earlier study in which packets of hairpin vortices were identified by a feature-detection algorithm in the log region, but not in the outer wake region. Both streamwise–streamwise (


AIAA Journal | 2012

Aeroacoustic performance of fractal spoilers

Jovan Nedic; Bharathram Ganapathisubramani; J. C. Vassilicos; J. Borée; L. E. Brizzi; A. Spohn

R_{\hbox{\scriptsize\it uu}}

Collaboration


Dive into the Bharathram Ganapathisubramani's collaboration.

Top Co-Authors

Avatar

Ivan Marusic

University of Melbourne

View shared research outputs
Top Co-Authors

Avatar

Roeland de Kat

University of Southampton

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Eda Dogan

University of Southampton

View shared research outputs
Top Co-Authors

Avatar

R. de Kat

University of Southampton

View shared research outputs
Top Co-Authors

Avatar

Noel T. Clemens

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar

R. Jason Hearst

University of Southampton

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge