This three-year, $475,603 project grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems Engineering program (CFDA 47.041) will fund the development of experimental, theoretical, and computational methods to predict the behavior of dense suspensions of frictionless particles, such as those found in landslides, mudslides, and underwater avalanches. Specifically, the awardee Cornell University will use advanced microscopy, rheology,...
This Project Grant award, valued at $349,428, was awarded by the National Science Foundation (NSF) under the Engineering (CFDA 47.041) federal grant program. The award supports collaborative research focused on understanding the risk of increased catastrophic landslides of historically stable or slowly creeping natural soil slopes due to the presence of thermally sensitive soil materials that exhibit significant changes in strength and stiffness in response to temperature changes. The central...
This $672,212 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) funds research that aims to improve the understanding of factors contributing to the instability of jointed rock slopes. The project intends to identify and quantify the distinct roles of natural rock fractures and the rock matrix in slope failures, which pose significant risks to lives, infrastructure, and economies. Through a combination of laboratory experiments and numerical...
This $460,515 Civil, Mechanical, and Manufacturing Innovation Project Grant awarded by the National Science Foundation (NSF), under its Engineering program (CFDA 47.041), supports research at the University of Colorado to understand the risk of increased catastrophic landslides due to climate change. The key activities include: Conducting thermal triaxial tests and centrifuge experiments to study how changes in soil temperature affect the stability and failure mechanisms of thermally sensitive...
This $310,085 National Science Foundation project grant will fund the development of a unified numerical framework for understanding co-seismic slope failures at complex sites. Funded under the Engineering program (CFDA 47.041), the two-year award made to Virginia Polytechnic Institute & State University will advance the fundamental understanding of earthquake-triggered slope failures and help predict, reduce, and mitigate their destructive consequences. The grantee will develop and validate...
This Project Grant award of $448,699.00, funded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), aims to enhance the understanding of the compaction of granular soils, a critical construction process for civil infrastructure systems. The research project, conducted by the University of Utah, will investigate the effects of granular soil properties and compaction equipment characteristics on compaction efficiency through an integrated experimental and numerical...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $199,638 to Michigan Technological University to conduct research on the micromechanical behavior of sand grain pairs bonded with different cementing agents. The goal is to improve fundamental understanding of grain-scale mechanics in bonded granular materials, which have applications in infrastructure rehabilitation, ground improvement, liquefaction resistance, and erosion control....
The National Science Foundation awarded a $306,062 Project Grant to Princeton University under the Geosciences program (CFDA 47.050) to conduct collaborative research from April 2022 through March 2025. The research aims to advance understanding of cohesive sediment transport through multiscale experiments and numerical simulations. Specifically, the university will combine nano- to microscale imaging and molecular dynamics simulations, micro- to mesoscale millifluidic experiments and...
This $174,924 National Science Foundation project grant supports the development of a multiphysics numerical framework to analyze soil engineering properties and slope stability in post-wildfire environments. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the 24-month project at Lawrence Technological University will empirically identify wildfire impacts on soil, analytically evaluate fundamental physics during and after wildfires, and numerically...
This Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $218,998 to North Carolina State University from March 2023 through February 2026. The funding supports research to develop and test a new technique for forecasting geohazards such as landslides, submarine slides, ground fissures, and liquefaction. Specifically, the researchers aim to determine if measurements of the density of excited vibrational modes (DOM) in natural sediments can provide a...