Capturing multiscale interactions in fluid flow via Lagrangian coherent structures and modal analysis
arXiv:2410.20802 · doi:10.1103/kgw4-ywtm
Abstract
We consider the relationship between Eulerian modal decompositions and Lagrangian coherent structures (LCSs). The model sensitivity framework developed by Kaszás and Haller (2020) is used to express data-driven modal representations of fluid flow in a Lagrangian space. The method, based on the computation of the finite-time Lyapunov exponent, computes the amplitude perturbations experienced by fluid particles due to specific modal components of the flow. Demonstrations of the method are presented for both periodic and turbulent flows, including experimental data from the wake past an oscillating foil, numerical data of the classical cylinder wake flow, and a direct numerical simulation (DNS) of a turbulent channel flow. This method provides a way to understand how Eulerian mode structures interact dynamically with features of the Lagrangian coherent structure across scales, offering additional physical insight into modal decompositions.
References in corpus (7)
- Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis
- Bispectral mode decomposition of nonlinear flows
- Data-driven resolvent analysis
- Vortex-induced vibrations: a soft coral feeding strategy?
- Connections between propulsive efficiency and wake structure via modal decomposition
- Lagrangian Data-Driven Reduced Order Modeling of Finite Time Lyapunov Exponents
- Universal Upper Estimate for Prediction Errors under Moderate Model Uncertainty