This National Science Foundation award provides $267,114 to the University of California, Los Angeles through December 2025 to advance research on estimating and controlling gust-induced aerodynamics. The project aims to develop reinforcement learning techniques to mitigate the challenges posed by large-amplitude fluid disturbances, or gusts, encountered by energy and propulsion systems with lifting surfaces such as wind turbines, aircraft, and turbomachinery. Researchers will leverage prior...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $192,283 to Northeastern University supports collaborative research to model the influence of turbulence on flow-induced instabilities of large flexible structures, with a focus on wind turbine blades. The research aims to develop a novel dynamic model for fluid-structure interaction (FSI) systems that accounts for the effects of turbulence on the onset and post-critical behavior of aeroelastic instabilities in...
This Project Grant award of $414,978 from the National Science Foundation's Engineering program (CFDA 47.041) supports fundamental research at the University of Akron to advance the understanding of flow control mechanisms using tunable flexible materials. The research aims to develop new methods for mitigating flow separation over aircraft wings and turbine blades, which can lead to reduced lift and undesirable pressure fluctuations. Key aspects of the project include: (1) performing...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $365,447 to the University of Massachusetts to conduct research on modeling the influence of turbulence on flow-induced instabilities of large flexible structures, with a focus on wind turbine blades. The project aims to develop a novel dynamic model for fluid-structure interaction systems that can accurately account for the effects of turbulence on the onset and post-critical behavior...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) provides $490,525.00 to The Regents of the University of Minnesota, doing business as the Office of Sponsored Projects Administration, to conduct research on stochastic modeling of turbulence over rough surfaces. The goal is to develop a new model that can accurately represent the velocity field and dynamics of near-surface turbulence, which is critical for applications like wind energy and pollution...
This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $523,552 to the University of Texas at Austin to develop advanced computational models for simulating complex turbulent fluid flows. The research aims to create reliable, broadly applicable turbulence models for use in Large Eddy Simulation (LES) to enable more practical and accurate simulations across fields like aeronautics, propulsion, power generation, and wind energy. In...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will fund research at Louisiana State University (LSU) to develop mathematical methods for controlling important classes of dynamical systems used in aerospace engineering. The $100,000 grant, awarded from August 1, 2023 to July 31, 2026, will produce designs and theory for interval contractors and reference governors to address input and state constraints in aerospace systems. The research...
The National Science Foundation awarded a $670,636 project grant under the Engineering federal grant program (CFDA 47.041) to the California Institute of Technology. The grant will fund the development of a robust wall model for large-eddy simulations through reinforcement learning methods. Present wall models rely on assumptions that limit applicability, often incorrectly predicting separation and transition crucial to external aerodynamics simulations. This project aims to develop novel wall...
The National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences awarded a $126,139 Project Grant to the University of Virginia to advance research on measuring atmospheric turbulence and wind behavior using commercial off-the-shelf multi-rotor drone technology. The 12-month project, which runs from July 15, 2023 to June 30, 2024, aims to investigate the accuracy of drone-based turbulence measurements and how accuracy varies with drone size and weight. The work will be...
This $315,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new methods to robustly analyze and control large-scale networked systems with uncertain and variable delays. Specifically, the project will combine integral quadratic constraint and partial integral equation frameworks to enable accurate modeling and control of nonlinear systems with known and uncertain delay components. This work has direct applications...