This National Science Foundation project grant of $100,000 supports research at Purdue University from September 2022 to August 2025 under the Engineering program (CFDA 47.041). The research aims to strengthen community resilience to natural hazards like earthquakes by incorporating stakeholder priorities into risk mitigation efforts. Specifically, the university will conduct social and physical experiments to better understand vulnerability of pre-1970s concrete buildings and evaluate community...
The Pennsylvania State University received a $400,000 project grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation on January 1, 2022 to develop and validate a framework for measuring resilience in low-income housing through December 31, 2023. This award is funded through NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education innovation....
This $1.1 million project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at Pennsylvania State University from April 2022 through March 2025 to improve understanding of supercell thunderstorms and tornado formation. The research team will analyze well-observed tornadic storms using innovative observation and simulation techniques to address fundamental questions about tornado rotation, the role of surface friction and baroclinically-generated...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award in the amount of $454,236 to the University of Massachusetts Lowell will advance the field of resilience analytics and enhance the ability of civil infrastructure systems to withstand natural disasters. The key research objectives include: (i) Adapting statistical physics and discrete modeling techniques to predict the type, extent, and functional integrity of damage to structural and non-structural building...
This $165,000 Project Grant award from the National Science Foundation (NSF) Engineering (CFDA 47.041) program supports the development of a novel adaptive data collection framework for automated post-disaster rapid damage assessment. The project at Arizona State University's Orspa division will create a Bayesian-based system that analyzes recent observations to dynamically update the trajectories of data collector agents toward areas with the greatest potential for information gain. This will...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $212,344 Project Grant to the University of Wisconsin System to support research titled "Collaborative Research: Assessment of Building Resiliency in Tornadoes Considering Transient Internal Pressure Effects" from November 1, 2021 through October 31, 2024. Under this award, the University of Wisconsin - Madison will conduct research to evaluate building resiliency during tornado events...
This $458,784 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) aims to enhance disaster response and recovery capabilities through improved machine learning and autonomous systems for rapid damage assessment. The project, led by Lehigh University, will develop physics-informed machine learning models that can operate across different geographic scales and disaster types by integrating physical principles...
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) Engineering (CFDA 47.041) grant award for $420,420 will advance the understanding of the performance of steel grain bins and the resilience of agriculturally-based rural communities to natural hazards like earthquakes and windstorms. The primary research activities include high-fidelity numerical modeling of steel grain bins, large-scale seismic and aeroelastic testing, development of metamodels for fragility analyses, and the creation of an agricultural...
This National Science Foundation (NSF) Engineering (47.041) Project Grant of $396,200 was awarded to The University of Texas at Arlington on November 1, 2021 to support research through October 31, 2023. The grant aims to leverage crowdsourced data to assess spatiotemporal patterns of resilience in diverse Gulf Coast communities impacted by natural hazards. Products and services will include analysis of how crowdsourced data can measure community resilience following disasters. A sub-award of...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $618,863 to The Pennsylvania State University will fund research to develop an interdisciplinary framework for improving the resilience of unreinforced masonry buildings in tornado-prone areas. The research aims to integrate structural, social, and preservation factors to create more accurate predictive models for tornado damage and recovery. Key project activities include collecting and analyzing quantitative and qualitative data, performing feature importance analysis through machine learning, and developing updated fragility curves for unreinforced masonry structures. The project outcomes will include refined damage and recovery models, as well as practitioner guides and community resources to enhance disaster preparedness and recovery planning in tornado-affected communities. This award period runs from July 1, 2025 to June 30, 2030.