From the 1 of 8 linked papers with an AI index.
8 papers
Rapid Kirigami Simulation using the Bar & Hinge Approach
Raj Pradip Khawale, Elaheh Mehdizadeh, John Brigham +1
Kirigami, the art of cutting sheets, offers unique characteristics such as shape morphing, stretchability, and adaptability, with applications in deployable and reconfigurable stru…
Operator theoretic causality analysis of fluid flows using linearized dynamics
Ankit Srivastava, Victor Jimenez-Fernandez, Louis Cattafesta +1
The paper introduces Linear Operator Causality Analysis (LOCA), an operator‑theoretic method that uses the matrix exponential of linearized fluid‑flow equations to quantify causal…
Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
Oliver T. Schmidt, Aaron Towne, Adrian Lozano-Duran +2
We introduce a community challenge designed to facilitate direct comparisons between data-driven methods for compression, forecasting, and sensing of complex aerospace flows. The c…
Observer-based neural networks for flow estimation and control
TarcÃsio C. Déda, William R. Wolf, Scott T. M. Dawson +1
Neural network observers (NNOs) are proposed for real-time estimation of fluid flows, addressing a key challenge in flow control: obtaining real-time flow states from a limited set…
Transient growth and nonlinear breakdown of wavelet-based resolvent modes in turbulent channel flow
Eric Ballouz, Scott T. M. Dawson, H. Jane Bae
We study the effectiveness of the time-localised principal resolvent forcing mode at actuating the near wall cycle of turbulence. The mode is restricted to a wavelet pulse and comp…
Sparsity-promoting methods for isolating dominant linear amplification mechanisms in wall-bounded flows
Scott T. M. Dawson, Jaime Prado Zayas, Barbara Lopez-Doriga
This work proposes a method to identify and isolate the physical mechanisms that are responsible for linear energy amplification in fluid flows. This is achieved by applying a spar…