Characterization, Modeling, and Control of Turbulence from a Network-Theoretic Perspective
Abstract
The objective of the proposed numerical and theoretical work is to capitalize on these unique capabilities of network theory to perform network-based characterization and modeling of turbulent vortical interactions and utilize the findings to implement network-based control of canonical turbulent flows. Our intention is not to fully control each and every vortices in turbulent flows but to modify the collective behavior of the global flow field (i.e., modifiability) using insights from the interaction network. To achieve the goals of this effort, we will -- investigate a hierarchy of models, from linear dynamics on a scale-free network to direct numerical simulations of turbulent flows (isotropic 2D and 3D turbulence and channel flow); -- characterize time-varying turbulence network and develop sparsified/low-order models; -- explore network resilience/vulnerability to random actuation and focused actuation at vortex hubs; -- infer interaction network and balanced reduced-order models of dynamics from turbulent fluid flow data; -- perform network-based open and closed-loop control of the collective dynamics of turbulent eddies.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710118
Entities
People
- Kunihiko Taira
Organizations
- Army Contracting Command
- Florida State University
- United States Army