710 citations · 2.3k across the 49 of their papers we have counts for
5 papers · 2 filters
Lagrangian Gradient Regression for the Detection of Coherent Structures from Sparse Trajectory Data
Tanner D. Harms, Steven L. Brunton, Beverley J. McKeon
Lagrangian Coherent Structures (LCS) are flow features which are defined to objectively characterize complex fluid behavior over a finite time regardless of the orientation of the…
Spatio-temporal characterization of non-linear forcing in turbulence
Yuting Huang, Simon S. Toedtli, Gregory P. Chini +1
The quadratic convection term in the incompressible Navier-Stokes equations is considered as a non-linear forcing to the linear operator, and it is studied in the Fourier domain th…
The transformative potential of machine learning for experiments in fluid mechanics
Ricardo Vinuesa, Steven L. Brunton, Beverley J. McKeon
The field of machine learning has rapidly advanced the state of the art in many fields of science and engineering, including experimental fluid dynamics, which is one of the origin…
From resolvent to Gramians: extracting forcing and response modes for control
Benjamin Herrmann, Peter J. Baddoo, Scott T. M. Dawson +3
During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow contro…
Towards real-time reconstruction of velocity fluctuations in turbulent channel flow
Rahul Arun, H. Jane Bae, Beverley J. McKeon
We develop a framework for efficient streaming reconstructions of turbulent velocity fluctuations from limited sensor measurements with the goal of enabling real-time applications.…