Project Grant 2501918
Award Date 1/1/26
Completion Date 12/31/27
Dollars Obligated $200K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90032, USA
Similar Awards
- This Project Grant from the National Science Foundation (NSF) Office of Integrative Activities provides $452,243 to California State University Auxiliary Services Inc. (Cal State LA UAS) under the NSF Engineering program (CFDA 47.041) to acquire a confined bi-directional cyclic shear apparatus. The apparatus will support research and education efforts on earthquake-resilient infrastructure from September 2021 through August 2024. As the NSF's Directorate for Engineering seeks to improve...
- The University of California, Davis was awarded a $567,806 Project Grant from the National Science Foundation under the Engineering federal grant program (CFDA 47.041). The grant will support research from July 2021 through June 2026 related to evaluating soil liquefaction at multiple scales through physics-guided data science approaches. The NSF Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research and...
- The National Science Foundation's Engineering program (CFDA 47.041) awarded a $200,000 Project Grant to the University of Delaware to evaluate liquefaction and its consequences through advanced field and laboratory investigations. The key objectives are to: 1) characterize subsurface features and mechanisms responsible for formation or abatement of liquefaction-induced ejecta at sites where conventional procedures misestimated its severity; 2) validate dynamic nonlinear effective-stress models...
- This federal Project Grant award of $386,220, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), supports the development of machine learning techniques to efficiently generate realistic, synthetic earthquake ground motions. The research, conducted by the University of California, San Diego, aims to enable geologists to effectively study large earthquakes and assess the hazards they pose to California and Nevada. The project will produce publicly available...
- 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...
- This $1,000,000 federal Project Grant from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to study the dynamic responses and liquefaction behavior of gravelly soil deposits. The research aims to parameterize the in-situ, dynamic constitutive degradation and liquefaction of gravelly soils and associated deformations. This work seeks to advance fundamental knowledge of gravelly soils, help secure resilience of civil infrastructure against earthquake...
- The National Science Foundation (NSF) awarded a $462,400 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California San Diego's (UCSD) Scripps Institution of Oceanography. This collaborative research project aims to develop machine learning techniques to efficiently generate realistic, synthetic ground motion data for the study of large, infrequent earthquakes in California and Nevada. The research will create parametric surrogate models of seismic ground motions...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to address critical gaps in understanding, modeling, and predicting soil behavior during transitions from solid-like to fluid-like motion, such as during landslides. The $642,143 award, spanning June 1, 2025 to May 31, 2030, will enable the University of Maine System to: 1) measure the statistical characteristics of particle collisions using discrete element modeling, 2)...
- This National Science Foundation (NSF) Geosciences program (CFDA 47.050) award of $249,272 to the University of Nevada, Reno (UNR) supports the development of machine learning techniques to generate realistic, synthetic earthquake ground motion simulations. The goal is to enable geologists to efficiently study large, infrequent earthquakes and assess their hazards to California and Nevada. The project will create publicly available software and educational resources to train future scientists...
- This $224,382 federal Project Grant was awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) to the California Institute of Technology (Caltech) on March 1, 2025. The grant supports a collaborative research project to develop a detailed 3D model of the Los Angeles (LA) Basin, which is critical for accurately estimating earthquake ground motion and assessing seismic hazard in this densely populated area. Researchers will analyze new high-resolution seismic data collected...