This $193,788 National Science Foundation project grant to Florida A&M University will fund research into wind mitigation strategies for low-rise buildings. The grant is part of NSF's Engineering program (CFDA 47.041), which aims to advance engineering research and education. Specifically, the university will leverage a novel flow control instrument at the University of Florida's wind tunnel facility to physically simulate a wide range of atmospheric wind flows. Researchers will integrate...
This $395,226 CAREER grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to address computational and modeling challenges in the design of large-scale electric transmission networks with increased renewable energy integration. The project will develop a new framework using spatially-embedded complex networks to enable more efficient and comprehensive transmission expansion planning. Key focus areas include improving solver efficiency, expanding...
This Project Grant award of $1,233,079.00 from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) aims to develop a comprehensive theoretical framework for modeling, designing, sensing, and controlling the post-fault stability of future power systems with varying levels of inverter-based resources and synchronous generators. The key products and services to be delivered under this grant include: Establishing the theoretical foundations of energy functions for...
This $423,690 National Science Foundation project grant supports research at the University of Florida to develop a debris damage vulnerability assessment platform and interactive augmented reality tool. Funded under the NSF Engineering program (CFDA 47.041), the three-year award running from July 2022 to June 2025 aims to advance understanding of windborne debris transport in urban areas through wind tunnel experiments, data-driven computer simulations, and physics-based models. Researchers...
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 $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...
This three-year National Science Foundation project grant of $338,074 will support research at Texas Tech University to develop efficient analysis frameworks for assessing the inelastic wind response of tall buildings. Funded through NSF's Engineering program (CFDA 47.041), this research directly addresses critical knowledge gaps to enable performance-based wind design of tall structures. Key products will include high-fidelity modeling of different building heights and systems to characterize...
This five-year, $1.167 million project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research and educational activities to address gaps in understanding the impacts of downburst windstorms on buildings. Led by Florida International University, the award will support field measurements, physical simulations, and numerical modeling to characterize downburst wind flows and assess building vulnerability. Researchers will leverage domestic and international...
The University of Michigan was awarded a three-year, $414,847 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The grant funds the "PERFORMANCE-BASED WIND ENGINEERING: KNOWLEDGE AND COMPUTATIONAL MODELING ADVANCES FOR COLLAPSE CHARACTERIZATION" project to advance knowledge and computational modeling of wind turbine collapse behavior. The University of Michigan will leverage its...
This $199,998 project grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop real-time digital signal processing capabilities for enhanced fault diagnosis in next-generation electric power grids. The project, titled "ERI: Advanced Wavelet Transform for Comprehensive Real-Time Fault Diagnosis in Next-Generation Sustainable Power Grids," will focus on two key areas: (1) the development of an innovative real-time wavelet transform theory...
This $599,290 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Florida to develop innovative methods for modeling the progressive collapse of high-voltage transmission tower-line (TTL) systems under extreme wind loads. The key products of this 5-year award, which runs from June 2025 to May 2030, include:
New stochastic wind load models that capture the complex, unpredictable nature of wind patterns to enable performance-based design of TTL systems. 2) Advanced computational procedures for progressive collapse analysis that can model real-time force redistribution and cascading failures in TTL systems under wind loads. 3) New damage metrics linking TTL collapse to power delivery functionality to quantify regional blackout risks for power grid resilience. 4) Systems-level fragility models to assess infrastructure safety and support the development of hurricane-resilient transmission towers.
This research aims to challenge current industry reliance on simplified wind load assumptions, advancing the technical design and risk assessment of power grid infrastructure to enhance energy security and reduce blackout risks during extreme wind events.