3 papers
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-dyn2025
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…