Network Structure of Two-Dimensional Decaying Isotropic Turbulence
arXiv:1705.07526 · doi:10.1017/jfm.2016.235
Abstract
The present paper reports on our effort to characterize vortical interactions in complex fluid flows through the use of network analysis. In particular, we examine the vortex interactions in two-dimensional decaying isotropic turbulence and find that the vortical interaction network can be characterized by a weighted scale-free network. It is found that the turbulent flow network retains its scale-free behavior until the characteristic value of circulation reaches a critical value. Furthermore, we show that the two-dimensional turbulence network is resilient against random perturbations but can be greatly influenced when forcing is focused towards the vortical structures that are categorized as network hubs. These findings can serve as a network-analytic foundation to examine complex geophysical and thin-film flows and take advantage of the rapidly growing field of network theory, which complements ongoing turbulence research based on vortex dynamics, hydrodynamic stability, and statistics. While additional work is essential to extend the mathematical tools from network analysis to extract deeper physical insights of turbulence, an understanding of turbulence based on the interaction-based network-theoretic framework presents a promising alternative in turbulence modeling and control efforts.
arXiv comment11 pages, 5 figures
References in corpus (11)
- Emergence of scaling in random networks
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Error and attack tolerance of complex networks
- The architecture of complex weighted networks
- Weighted evolving networks: coupling topology and weights dynamics
- Realistic Control of Network Dynamics
- Cluster-based reduced-order modelling of a mixing layer
- Spectrum of Controlling and Observing Complex Networks
- Lagrangian Dynamics in High-Dimensional Point-Vortex Systems
- Network-theoretic approach to sparsified discrete vortex dynamics
Cited by in corpus (38)
- Super-resolution reconstruction of turbulent flows with machine learning
- Data-Driven Sparse Sensor Placement for Reconstruction
- Machine learning based spatio-temporal super resolution reconstruction of turbulent flows
- Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
- Sparse Principal Component Analysis via Variable Projection
- Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization
- A review on turbulent and vortical flow analyses via complex networks
- Visibility graph analysis of wall turbulence time-series
- Cluster-based network model
- Network community-based model reduction for vortical flows
- Probing turbulent superstructures in Rayleigh-Bénard convection by Lagrangian trajectory clusters
- Single-snapshot machine learning for super-resolution of turbulence
- Environment Identification in Flight using Sparse Approximation of Wing Strain
- Networked oscillator based modeling and control of unsteady wakes
- Identifying vortical network connectors for turbulent flow modification
- Lagrangian network analysis of turbulent mixing
- Network broadcast analysis and control of turbulent flows
- Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
- Large-to-small scale frequency modulation analysis in wall-bounded turbulence via visibility networks
- Experimental investigation on the susceptibility of minimal networks to a change in topology and number of oscillators
- From time-series to complex networks: Application to the cerebrovascular flow patterns in atrial fibrillation
- Experimental investigation of vertical turbulent transport of a passive scalar in a boundary layer: statistics and visibility graph analysis
- Spatial characterization of turbulent channel flow via complex networks
- Randomized methods to characterize large-scale vortical flow network
- Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data
- A graph theoretic framework for representation, exploration and analysis on computed states of physical systems
- Multilayer network analysis to study complex inter-subsystem interactions in a turbulent thermoacoustic system
- Image and video compression of fluid flow data
- Wall-induced anisotropy effects on turbulent mixing in channel flow: A network-based analysis
- Dynamical Complex Network Models of the Turbulent Cascade
- Study of Interaction and Complete Merging of Binary Cyclones Using Complex Networks
- Network analysis of Reynolds number scaling in wall-bounded Lagrangian mixing
- Selective energy and enstrophy modification of two-dimensional decaying turbulence
- Network-theoretic modeling of fluid-structure interactions
- Evolution of clusters of turbulent reattachment due to shear layer instability in flow past a circular cylinder
- Stabilizing two-dimensional turbulent Kolmogorov flow via selective modification of inviscid invariants
- Vortical interactions in turbulent thermoacoustic systems
- Visibility analysis of boundary layer transition