Sparse subsampling of flow measurements for finite-time Lyapunov exponent in domains with obstacles
We propose an efficient approach to estimate the finite-time Lyapunov exponent (FTLE).
Instead of incorporating all available velocity measurements, we develop a sparse …
Instead of incorporating all available velocity measurements, we develop a sparse …
[HTML][HTML] Influence of lateral boundaries on transport in quasi-two-dimensional flow
L Fang, NT Ouellette - Chaos: An Interdisciplinary Journal of Nonlinear …, 2018 - pubs.aip.org
We assess the impact of lateral coastline-like boundaries on mixing and transport in a
laboratory quasi-two-dimensional turbulent flow using a transfer-operator approach. We …
laboratory quasi-two-dimensional turbulent flow using a transfer-operator approach. We …
Lagrangian scale decomposition via the graph Fourier transform
T MacMillan, NT Ouellette - Physical Review Fluids, 2022 - APS
Scale decomposition is ubiquitous in the analysis of complex fluid flows. Often with an eye
towards reduced order modeling, considerable effort has been invested in the development …
towards reduced order modeling, considerable effort has been invested in the development …
[PDF][PDF] Modelling pollutant dispersion at the city and street scales
S Fellini - 2021 - researchgate.net
Air pollution in urban areas is a major concern for the health and safety of citizens. Hubs of
economic, political and social activities, cities are densely populated and are exposed to a …
economic, political and social activities, cities are densely populated and are exposed to a …
Ensemble-based method for the inverse Frobenius–Perron operator problem: Data-driven global analysis from spatiotemporal “movie” data
N Santitissadeekorn, EM Bollt - Physica D: Nonlinear Phenomena, 2020 - Elsevier
Given a sequence of empirical distribution data (eg a movie of a spatiotemporal process
such as a fluid flow), this work develops an ensemble data assimilation method to estimate …
such as a fluid flow), this work develops an ensemble data assimilation method to estimate …
Demonstrating the viability of Lagrangian in situ reduction on supercomputers
Performing exploratory analysis and visualization of large-scale time-varying computational
science applications is challenging due to inaccuracies that arise from under-resolved data …
science applications is challenging due to inaccuracies that arise from under-resolved data …
Controlling trajectories globally via spatiotemporal finite-time optimal control
L Zhang, S Balasuriya - SIAM Journal on Applied Dynamical Systems, 2020 - SIAM
The problems of (i) maximizing or minimizing Lagrangian mixing in fluids via the introduction
of a spatiotemporally varying control velocity and (ii) globally controlling the finite-time …
of a spatiotemporally varying control velocity and (ii) globally controlling the finite-time …
A persistent homology method with modified filtration to characterize the phase trajectory of a turbulent wake flow
The topological features of recurrent phase trajectories of a turbulent wake are studied using
a modified persistent homology method. In the general persistent homology computation …
a modified persistent homology method. In the general persistent homology computation …
Extracting features from eigenfunctions: higher Cheeger constants and sparse eigenbasis approximation
CP Rock - Bulletin of the Australian Mathematical Society, 2023 - cambridge.org
This thesis investigates links between the eigenvalues and eigenfunctions of the Laplace–
Beltrami operator, and the higher Cheeger constants of smooth Riemannian manifolds …
Beltrami operator, and the higher Cheeger constants of smooth Riemannian manifolds …
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
Lagrangian representations of flow fields have gained prominence for enabling fast,
accurate analysis and exploration of time-varying flow behaviors. In this paper, we present a …
accurate analysis and exploration of time-varying flow behaviors. In this paper, we present a …