296 citations · 579 across the 19 of their papers we have counts for
19 papers
Neural networks in feedback for flow analysis, sensor placement and control
Tarcísio Déda, William Wolf, Scott Dawson
This work presents a novel methodology for analysis and control of nonlinear fluid systems using neural networks. The approach is demonstrated on four different study cases being t…
-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez +4
Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows. We propose a method for learning compact and near-ort…
Galerkin spectral estimation of vortex-dominated wake flows
Katherine J. Asztalos, Abdulrahman Almashjary, Scott T. M. Dawson
We propose a technique for performing spectral (in time) analysis of spatially-resolved flowfield data, without needing any temporal resolution or information. This is achieved by…
From resolvent to Gramians: extracting forcing and response modes for control
Benjamin Herrmann, Peter J. Baddoo, Scott T. M. Dawson +3
During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow contro…
A sparsity-promoting resolvent analysis for the identification of spatiotemporally-localized amplification mechanisms
Barbara Lopez-Doriga, Eric Ballouz, H. Jane Bae +1
This work introduces a variant of resolvent analysis that identifies forcing and response modes that are sparse in both space and time. This is achieved through the use of a sparse…
Wavelet-based resolvent analysis for statistically-stationary and temporally-evolving flows
Eric Ballouz, Barbara Lopez-Doriga, Scott T. M. Dawson +1
This work introduces a formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms in time. This allows resolvent analysis to be extended to turbu…
A Database for Reduced-Complexity Modeling of Fluid Flows
Aaron Towne, Scott T. M. Dawson, Guillaume A. Brès +8
We present a publicly accessible database designed to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. A…
Resolvent Analysis of laminar and turbulent duct flows
Barbara Lopez-Doriga, Scott T. M. Dawson, Ricardo Vinuesa
This work applies resolvent analysis to incompressible flow through a rectangular duct, in order to identify dominant linear energy-amplification mechanisms present in such flows.…
Improved approximations to the Wagner function using sparse identification of nonlinear dynamics
Scott T. M. Dawson, Steven L. Brunton
The Wagner function in classical unsteady aerodynamic theory represents the response in lift on an airfoil that is subject to a sudden change in conditions. While it plays a fundam…
Integrating multi-fidelity blood flow data with reduced-order data assimilation
Milad Habibi, Roshan M. D'Souza, Scott T. M. Dawson +1
High-fidelity patient-specific modeling of cardiovascular flows and hemodynamics is challenging. Direct blood flow measurement inside the body with in-vivo measurement modalities s…
Data-driven cardiovascular flow modeling: examples and opportunities
Amirhossein Arzani, Scott T. M. Dawson
High-fidelity modeling of blood flow is crucial for enhancing our understanding of cardiovascular disease. Despite significant advances in computational and experimental characteri…
From unsteady to quasi-steady dynamics in the streamwise-oscillating cylinder wake
Maysam Shamai, Scott T. M. Dawson, Igor Mezić +1
The flow around a cylinder oscillating in the streamwise direction with a frequency, , much lower than the shedding frequency, , has been relatively less studied than the…
Modal Analysis of Fluid Flows: Applications and Outlook
Kunihiko Taira, Maziar S. Hemati, Steven L. Brunton +5
We present applications of modal analysis techniques to study, model, and control canonical aerodynamic flows. To illustrate how modal analysis techniques can provide physical insi…
On the shape of resolvent modes in wall-bounded turbulence
Scott T. M. Dawson, Beverley J. McKeon
The resolvent formulation of the NavierStokes equations gives a means for the characterization and prediction of features of turbulent flowssuch as statistic…
On non-normality and classification of amplification mechanisms in stability and resolvent analysis
Sean Symon, Kevin Rosenberg, Scott T. M. Dawson +1
We seek to quantify non-normality of the most amplified resolvent modes and predict their features based on the characteristics of the base or mean velocity profile. A 2-by-2 model…
Evaluating the accuracy of the dynamic mode decomposition
Hao Zhang, Scott T. M. Dawson, Clarence W. Rowley +2
Dynamic mode decomposition (DMD) gives a practical means of extracting dynamic information from data, in the form of spatial modes and their associated frequencies and growth/decay…
Modal Analysis of Fluid Flows: An Overview
Kunihiko Taira, Steven L. Brunton, Scott T. M. Dawson +7
Simple aerodynamic configurations under even modest conditions can exhibit complex flows with a wide range of temporal and spatial features. It has become common practice in the an…
Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition
Scott T. M. Dawson, Maziar S. Hemati, Matthew O. Williams +1
Dynamic mode decomposition (DMD) provides a practical means of extracting insightful dynamical information from fluids datasets. Like any data processing technique, DMD's usefulnes…
State-space model identification and feedback control of unsteady aerodynamic forces
Steven L. Brunton, Scott T. M. Dawson, Clarence W. Rowley
Unsteady aerodynamic models are necessary to accurately simulate forces and develop feedback controllers for wings in agile motion; however, these models are often high dimensional…