R
R. Baidya
Researcher at University of Melbourne
Publications - 36
Citations - 709
R. Baidya is an academic researcher from University of Melbourne. The author has contributed to research in topics: Turbulence & Boundary layer. The author has an hindex of 13, co-authored 35 publications receiving 549 citations. Previous affiliations of R. Baidya include Bundeswehr University Munich.
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Amplitude modulation of all three velocity components in turbulent boundary layers
TL;DR: In this article, a combination of cross-wire probes with an array of flush-mounted skin-friction sensors are used to study the three-dimensional conditional organisation of large-scale structures in a high-Reynolds-number turbulent boundary layer.
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Distance-from-the-wall scaling of turbulent motions in wall-bounded flows
TL;DR: Wei et al. as discussed by the authors showed that not all turbulent stress quantities approach the self-similar asymptotic state at an equal rate as the Reynolds number is increased, with the Reynolds shear stress approaching faster than the streamwise normal stress.
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The effect of spanwise wavelength of surface heterogeneity on turbulent secondary flows
TL;DR: In this paper, the authors examine the behaviour of turbulent boundary layers over surfaces composed of spanwise-alternating smooth and rough strips, where the width of the strips varies such that, where is the boundary-layer thickness averaged over one spanwise wavelength of the heterogeneity.
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Two-dimensional energy spectra in high-Reynolds-number turbulent boundary layers
TL;DR: In this paper, Taylor's frozen turbulence hypothesis is used to convert temporal-spanwise information into a 2D spatial spectrum which shows the contribution of streamwise and spanwise length scales to the streamwise variance at a given wall height.
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Enhancing Tomo-PIV reconstruction quality by reducing ghost particles
TL;DR: In this article, a simulacrum matching-based reconstruction enhancement (SMRE) technique is proposed, which utilizes the characteristic shape and size of actual particles to remove ghost particles in the reconstructed intensity field.