Bolstering Disaster Resilience

Oklahoma State University ($398,071)
To develop a performance-based wildland-urban interface (WUI) fire resilience assessment model that can be used to create customized community emergency management plans for mitigation, preparedness, response and recovery, and which takes into account the unique built environment and human interactions with it. 

University of California San Diego ($397,820)
To develop, validate and assess an efficient and practical design method that will integrate resilience and performance criteria in support of resilience-based design to reduce the cost and impact of disasters on the built environment. 

University of Notre Dame ($394,577)
To address fundamental knowledge gaps in support of a design procedure for thunderstorm/downburst winds based on a web-enabled enhanced gust effects factor (EGEF) framework and ensuring the dissemination of data and knowledge with a focus on diversity, equity and inclusivity.

Virginia Polytechnic Institute and State University ($388,419)
To develop an open-source, computationally efficient model that can be used by the engineering community to assess the risk of infrastructure ignition due to ember, or firebrand, showers caused by fires in the wildland-urban interface where communities abut undeveloped land.

The 10 research projects funded by NSF are:

University of Washington ($400,000)
To develop a fundamental understanding of the behavior of cast-in-place floor slabs, or “diaphragms,” in reinforced concrete buildings and develop tools for their design and for probabilistically quantifying their expected performance during an earthquake. 

University of California, Los Angeles ($399,933)
To use principles from artificial intelligence to develop near real-time infrastructure damage prediction models for use in the immediate post-event environment of a major hazard event (e.g., wildfire, earthquake and flood), thereby enhancing the emergency response and recovery planning phases that follow.

University of Illinois Urbana-Champaign ($399,851)
To examine how characteristics of thunderstorm winds, including design-level peak wind speeds, relate to the different generating mechanisms of such winds. The project will also investigate spatial variabilities and temporal intermittencies associated with these mechanisms. 

University of Mississippi ($399,475)
To establish a standard monitoring approach for impoundments of mine tailings (massive geotechnical structures that store mining waste), thereby revolutionizing infrastructure monitoring and hazard management during extreme weather events.

North Carolina State University ($398,891)
To advance understanding of how local erosion events contribute to floods in neighboring communities; how these floods can be managed by allowing barrier sections to return to nature; and how such a transformation, when informed and deliberated on by community stakeholders, may affect community place meanings.

George Mason University ($397,365)
To incorporate equity into wildfire preparedness strategies and minimize the equity-of-access gap to resources between disadvantaged and advantaged communities. 

Johns Hopkins University ($391,951)
To develop a novel system to provide rapid, scalable and joint assessments of cascading hazards (e.g., ground shaking, landslide and liquefaction) during seismic events by leveraging the causal dependencies among them.

George Mason University ($385,353)
To evaluate the effect of extreme heat on efficacy of disinfection in drinking water distribution systems and evaluate a novel engineering solution to increase resiliency to extreme heat disasters.

Oklahoma State University ($367,706)
To investigate the potential role of social networks and micromobility (lightweight vehicles such as bicycles or scooters) in enhancing the planning and operation of resilience hubs, an emerging infrastructural concept that has the potential to support more equitable disaster response and recovery efforts.

Louisiana State University ($363,852)
To model power grid resilience equity by considering the hardships faced by different communities and taking account of these hardships in the protection of power infrastructure against flood-induced hazards.