710 citations · 2.3k across the 49 of their papers we have counts for
50 papers
Data-driven linear analysis of dynamical systems via nonlinearity-subtracted dynamic mode decomposition
Benjamin Herrmann, Katherine Cao, Steven L. Brunton +1
The Dynamic Mode Decomposition (DMD) has been consolidated as a basic tool for data-driven analysis of dynamical systems, allowing simultaneous identification of coherent structure…
Data-driven linear analysis of turbulent flows
Benjamin Herrmann, Katherine Cao, Carlos A. Gonzalez +2
Mean-flow-based linear analyses of turbulent flows, such as resolvent analysis, provide valuable insight about flow structures and their dynamics that has been widely leveraged to…
Coupled dynamics of wall pressure and transpiration, with implications for the modeling of tailored surfaces and turbulent drag reduction
Simon Toedtli, Anthony Leonard, Beverley McKeon
Wall-based active and passive flow control for drag reduction in low Reynolds number (Re) turbulent flows can lead to three typical phenomena: i) attenuation or ii) amplification o…
Basset-Boussinesq history force and inertia are relevant for unsteady particle settling dynamics
Tomek Jaroslawski, Divya Jaganathan, Rama Govindarajan +1
Our experiments on a sphere falling under gravity in Stokes flow show significant history effects. We observe an algebraic, not exponential, relaxation rate to the terminal velocit…
Estimating Dynamic Flow Features in Groups of Tracked Objects
Tanner D. Harms, Steven L. Brunton, Beverley J. McKeon
Interpreting motion captured in image sequences is crucial for a wide range of computer vision applications. Typical estimation approaches include optical flow (OF), which approxim…
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…