activity
20172026
most citedOn non-normality and classification of amplification mechanisms in stability and resolvent analysis

73 citations · 236 across the 14 of their papers we have counts for

collaborators

15 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-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

Searching for Invariant Solutions to Wall-Bounded Flows using Resolvent-Based Optimisation

Thomas Burton, Sean Symon, Davide Lasagna

We present a robust optimisation framework for computing invariant solutions of wall-bounded flows by recasting the Navier-Stokes equations as a variational problem as established…

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…

nlin.CD2024

Resolvent-Based Optimisation for Approximating the Statistics of a Chaotic Lorenz System

Thomas Burton, Sean Symon, Ati Sharma +1

We propose a novel framework for approximating the statistical properties of turbulent flows by combining variational methods for the search of unstable periodic orbits with resolv…

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-dyn2020★ 61 cited

Energy transfer in turbulent channel flows and implications for resolvent modelling

Sean Symon, Simon J. Illingworth, Ivan Marusic

We analyse the inter-scale transfer of energy for two types of plane Poiseuille flow: the P4U exact coherent state of Park and Graham (2015) and turbulent flow in a minimal channel…

physics.flu-dyn2020★ 29 cited

Energy transfer mechanisms and resolvent analysis in the cylinder wake

Bo Jin, Sean Symon, Simon J. Illingworth

Energy transfer mechanisms for vortex shedding behind a 2D cylinder at a Reynolds number of Re=100 are investigated. We first characterize the energy balances achieved by the true…

physics.flu-dyn2019★ 44 cited

A tale of two airfoils: resolvent-based modelling of an oscillator vs. an amplifier from an experimental mean

Sean Symon, Denis Sipp, Beverley J. McKeon

The flows around a NACA 0018 airfoil at a Reynolds number of 10250 and angles of attack of alpha = 0 (A0) and alpha = 10 (A10) are modelled using resolvent analysis and limited exp…

physics.flu-dyn2019

The role of parasitic modes in nonlinear closure via the resolvent feedback loop

Kevin Rosenberg, Sean Symon, Beverley J. McKeon

We use the feedback loop of McKeon \& Sharma (2010), where the nonlinear term in the Navier-Stokes equations is treated as an intrinsic forcing of the linear resolvent operator, to…

physics.flu-dyn2018★ 25 cited

Coherent structures in the linearized impulse response of turbulent channel flow

Sabarish B. Vadarevu, Simon J. Illingworth, Ivan Marusic

We study the evolution of velocity fluctuations due to an isolated spatio-temporal impulse using the linearized Navier-Stokes equations. The impulse is introduced as an external bo…

physics.flu-dyn2017★ 73 cited

On non-normality and classification of amplification mechanisms in stability and resolvent analysis

Sean Symon, Kevin Rosenberg, Scott T. M. Dawson +1

We seek to quantify non-normality of the most amplified resolvent modes and predict their features based on the characteristics of the base or mean velocity profile. A 2-by-2 model…