Oregon State University was awarded a $348,450 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) for the period of September 1, 2022 through January 31, 2023. The grant funds the CAREER project "ACCELERATING REAL-TIME HYBRID PHYSICAL-NUMERICAL SIMULATIONS IN NATURAL HAZARDS ENGINEERING WITH A GRAPHICS PROCESSING UNIT (GPU)-DRIVEN PARADIGM" which aims to advance hybrid physical-numerical simulation techniques in natural hazards engineering using...
This $127,940 National Science Foundation project grant supports research to develop an innovative seismic resilient structural system at Stanford University from October 1, 2022 to August 31, 2023. The system aims to protect buildings and their occupants from earthquakes through a new steel frame-spine design with force-limiting connections. Researchers will collaborate with counterparts in Japan to test the system using a full-scale earthquake facility. They also plan to offer an online course...
This National Science Foundation (NSF) Project Grant award for $399,915 will fund fundamental scientific research to develop a novel method for simulating fracture behavior in steel structures under extreme loads and hazards. The award, which runs from April 1, 2025 to March 31, 2028, is part of the NSF's Engineering program (CFDA 47.041). The research aims to integrate fracture mechanics with an enriched frame element formulation, enabling more accurate prediction of fracture initiation and...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Stanford University a $309,441 Project Grant under the Engineering (47.041) federal grant program. The grant will fund a three-year research project titled "Assessing Urban Post-Earthquake Community Recovery to Inform Pre-Disaster Planning." The project aims to analyze how communities recover from earthquakes to develop better preparedness strategies. Stanford University will assess...
This National Science Foundation (NSF) Engineering grant award, with the Catalog of Federal Domestic Assistance (CFDA) number 47.041, provides $607,802 in funding from August 1, 2025 to July 31, 2030 to the University of Nevada, Reno to develop a physics-informed machine learning framework for modeling the dynamic response of geostructural systems under seismic loading. The key objectives are to: (1) develop scalable machine learning algorithms for accurately modeling the dynamic response of...
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...
This $499,543 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports the development of novel, high-fidelity computational tools for simulating the interaction between extreme hydrodynamic conditions and coastal structures. The research, conducted by The Research Foundation for The State University of New York (Stony Brook University), aims to advance mathematical methods, algorithms, and software to enable more...
The National Science Foundation (NSF) awarded a $600,000 Project Grant (CFDA 47.070 Computer and Information Science and Engineering) to the Massachusetts Institute of Technology (MIT) to advance GPU-accelerated geometric data processing. The 3-year project seeks to develop GPU-optimized algorithms and data structures to improve speed, efficiency, and scalability of unstructured mesh processing, a critical task for applications in architecture, design, medical imaging, robotics, animation, and...
This National Science Foundation Project Grant award of $510,436 provides funding from June 1, 2023 through May 31, 2028 to San Francisco State University under the Engineering federal grant program (CFDA 47.041). The award will support research and educational efforts to advance understanding of green infrastructure systems' influences on structural performance during natural hazard events. Specifically, the university will conduct sensitivity analyses and nonlinear time history analyses to...
This $466,714 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new expressive and differentiable robotics simulators at Stanford University from September 2022 through August 2026. The researchers will establish the mathematical foundations for simulators with learnable components, prototype such simulators, and evaluate their ability to reduce the "sim-to-real gap" where robots perform differently in simulation versus...
This five-year, $598,450 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will support research accelerating hybrid physical-numerical simulations in natural hazards engineering using graphics processing units. The grantee, Stanford University, will develop advanced numerical methods harnessing graphics processors to overcome computational bottlenecks in structural simulations. In particular, the research will derive and demonstrate algorithms enabling real-time hybrid simulation of tall buildings at higher fidelity through massively parallel processing on graphics chips. This will establish multi-disciplinary research and mentorship at the intersection of structural engineering and scientific computing. Data will be archived in the NHERI Data Depot for public availability. The research aims to advance understanding of natural hazard risks to the built environment through more realistic, faster simulations coupling physical experiments and numerical models.