This two-year, $240,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research at the University of California Irvine to evaluate the effect of vertical accelerations on the seismic performance of steel building components through experimental and numerical studies. A near full-scale, ten-story steel building will be instrumented and tested on a shake table in Japan, with the experimental data used to create finite element models. These models...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $399,915 in funding to the University of California, Davis from April 1, 2025 to March 31, 2028. The goal of this research is to develop a novel scientific formulation that integrates fracture mechanics with an enriched frame element formulation, resulting in a method that can accurately simulate the initiation and propagation of fracture and fatigue in steel structures. This research...
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 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 National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $400,000 Project Grant to the University of Washington to advance earthquake engineering research on cast-in-place concrete diaphragms with openings in reinforced concrete buildings. The 3-year project, beginning January 1, 2024, will develop a fundamental understanding of how openings for stairs, elevators, and mechanical systems affect the seismic performance of concrete floor diaphragms. The research...
This $199,638 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research by the San Diego State University (SDSU) Research Foundation to develop an improved seismic-resistant timber-concrete connection using replaceable ductile anchor rods. The goal is to enhance the seismic resilience of mass timber structures by enabling rapid post-earthquake repair through a reliable ductile mechanism that dissipates energy in the anchor connecting the...
The University of California, Davis will receive $200,000 under a two-year Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The grant funds the research project "COLLABORATIVE RESEARCH: DEVELOPMENT OF REALISTIC SEISMIC INPUT MOTIONS FOR IMPROVING THE RESILIENCE OF INFRASTRUCTURE TO EARTHQUAKES" from November 2021 through October 2023. This project supports the NSF Directorate for Engineering's goal of improving...
The National Science Foundation (NSF) Directorate for Engineering has awarded a $391,951 Project Grant to The Johns Hopkins University to develop a novel system for rapidly and accurately assessing cascading seismic hazards and impacts using satellite imagery and causal modeling. The project, funded under the NSF Engineering program (CFDA 47.041), aims to integrate satellite data with existing geophysical and structural fragility models to jointly estimate the occurrence and location of...
The University of Utah will use $395,742 from the National Science Foundation to develop machine learning models for predicting seismic failure limit states in buildings under an Engineering Project Grant (CFDA 47.041). The three-year project beginning September 2021 aims to apply machine learning techniques to analyze structural response data and improve predictions of building vulnerability under earthquake loading. NSF's Engineering Directorate seeks to foster innovation in engineering...
This Project Grant award, totaling $287,739, was provided by the National Science Foundation (NSF) through its Integrative Activities program (CFDA 47.083). The award will support research at the University of Nevada, Reno aimed at developing a next-generation data-informed probabilistic framework for assessing and quantifying the seismic risk to infrastructure. Key objectives include: Leveraging machine learning techniques to map correlations between environmental factors and infrastructure...