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20242026
most citedThree-dimensional variational data assimilation of separated flows using time-averaged experimental data

4 citations · 4 across the 9 of their papers we have counts for

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physics.flu-dyn2026

Efficient three-dimensional variational data assimilation of multi-plane PIV data

Uttam Cadambi Padmanaban, Samaresh Midya, Ping He +2

We perform three-dimensional variational data assimilation (3DVar) using a discrete adjoint approach to optimise the time-averaged momentum equations. The experimental data consist…

physics.flu-dyn2026

To stall-cell or not to stall-cell: Variational data assimilation of 3D mean flow past a stalled airfoil

Uttam Cadambi Padmanaban, Craig Thompson, Bharathram Ganapathisubramani +1

The full-field reconstruction of three-dimensional (3D) turbulent flows from sparse experimental measurements remains a significant challenge, particularly for flows exhibiting com…

physics.flu-dyn2026

Characterisation of rough-wall drag in compressible turbulent boundary layers

Dea Daniella Wangsawijaya, Rio Baidya, Sven Scharnowski +2

In compressible turbulent boundary layers (TBLs), roughness drag is typically characterised by first applying a velocity transformation to account for compressibility, after which…

physics.flu-dyn2026

Assimilating rough features: A data-driven framework to infer rough wall properties from sparse experimental data

Martina Formichetti, Uttam Cadambi Padmanaban, Ping He +2

Surface roughness influences turbulent boundary layers (TBLs) primarily through the roughness function and the equivalent sand-grain roughness height \(k_s\). Direct determi…

physics.flu-dyn2026

Mixed data-source transfer learning for a turbulence model augmented physics-informed neural network

Christian Toma, Bharathram Ganapathisubramani, Sean Symon

Physics-informed neural networks (PINNs) have recently emerged as a promising alternative for extracting unknown quantities from experimental data. Despite this potential, much of…

physics.flu-dyn2025

Boundary layer flow dynamics of propulsive flapping foils with increasing Reynolds numbers

Andhini N. Zurman-Nasution, Gabriel D. Weymouth, Bharathram Ganapathisubramani

We study flapping foils at optimally propulsive Strouhal number with increasing chord-based Reynolds number at , , and to examine changes in their…

physics.flu-dyn2025★ 4 cited

Three-dimensional variational data assimilation of separated flows using time-averaged experimental data

Uttam Cadambi Padmanaban, Bharathram Ganapathisubramani, Sean Symon

We present a novel framework for assimilating planar PIV experimental data using a variational approach to enhance the predictions of the Spalart-Allmaras RANS turbulence model. Ou…

physics.flu-dyn2024

Effects of fetch length on turbulent boundary layer recovery past a step-change in surface roughness

Martina Formichetti, Dea D. Wangsawijaya, Sean Symon +1

Recent studies focusing on the response of turbulent boundary layers (TBL) to a step-change in roughness have provided insight into the scaling and characterisation of TBLs and the…

physics.flu-dyn2024

Resolvent analysis of a swimming foil

Jonathan M. O. Massey, Sean Symon, Bharathram Ganapathisubramani +1

This study employs resolvent analysis to explore the dynamics and coherent structures in the boundary layer of a foil that swims via a travelling wave undulation. A modified NACA f…

physics.flu-dyn2024

Linear models of strip-type roughness

D. Lasagna, G. Zampino, B. Ganapathisubramani

Prandtl's secondary flows of the second kind generated by laterally-varying roughness are studied using the linearised Reynolds-Averaged Navier-Stokes approach proposed in Zampino…