3 citations · 4 across the 11 of their papers we have counts for
8 papers · 1 filter
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…
Capturing multiscale interactions in fluid flow via Lagrangian coherent structures and modal analysis
Morgan R. Jones, Charles Klewicki, Oliver Khan +2
We consider the relationship between Eulerian modal decompositions and Lagrangian coherent structures (LCSs). The model sensitivity framework developed by Kaszás and Haller (2020)…
Preferential sampling enabled by particle finite size and anisotropic shape
Helena E. Schreder, Kartik Krishna, Steven L. Brunton +1
Anisotropic, finite-sized particles, common in environmental and industrial flows, exhibit complex dynamics distinct from those of small, spherical particles. Their shape introduce…
Spectral proper orthogonal decomposition of rapid snapshot pairs sampled at sub-Nyquist intervals
Caroline Cardinale, Steven L. Brunton, Tim Colonius
Modal decomposition methods are important for characterizing the low-dimensional dynamics of complex systems, including turbulent flows. Different methods have varying data require…
Leveraging three-dimensionality for navigation in bluff-body wakes
Vedasri Godavarthi, Kartik Krishna, Steven L. Brunton +1
Biological flyers and swimmers navigate in unsteady wake flows using limited sensory abilities and actuation energies. Understanding how vortical structures can be leveraged for en…
Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels
Alejandro A. Stefan-Zavala, Isabel Scherl, Ioannis Mandralis +2
Fan-array wind tunnels are an emerging technology to design bespoke wind fields through grids of individually controllable fans. This design is especially suited for the turbulent,…