CRDF Global congratulates Thomas Oommen of Michigan Technical University as the winner of a peer-reviewed competition for his project "Geohazard Prediction for Landslide Areas by Numerical Modeling of Slope Instability: A Tool for Geotechnical System Monitoring." The competition, funded by the National Science Foundation (NSF), was held to promote and foster collaborative relationships between early-career scientists at U.S. universities and their counterparts in the Research and Education Centers established under the U.S.-Ukraine program of Cooperation in Research and Education in Science and Technology (CREST).
The grant supports a research visit of up to three months in duration to a CREST Research and Education Center in Ukraine.
A parallel grant or grants will be awarded through the Ukrainian State Agency for Science, Innovation and Information to one or more Ukrainian junior scientists for research visits to the United States.
About the Winning Project:
Landslides are a significant geohazard in several countries, including the United States and Ukraine, and need advanced modeling and careful monitoring to prevent their disastrous effect. The proposed project will establish research collaboration between Dr. Thomas Oommen -- a junior faculty at Michigan Technological University, in the United States -- and Prof. Dr. Dmytro Rudakov at the National Mining University, Ukraine.
The research topic will address the numerical modeling of slope instability. In the proposed research project, both limit equilibrium and finite element analysis of slope instability will be carried out using slope failure case histories from Dnipropetrovsk, Ukraine. The numerical analysis will be followed by field studies, and the analysis results will be correlated with temporal Geographic Information System (GIS) data of slope movement and/or subsidence.
The research will focus on relating the numerical model with the GIS data for verifying the applicability of advanced numerical modeling of slope instability for regional geohazard characterization and monitoring. The proposed research will lead to long-term collaboration between the aforementioned universities on areas of geotechnical engineering, geomechanics, GIS and geohazard. The results from the proposed research in the application of numerical modeling and GIS for regional landslide hazard prediction and monitoring will be published in an international peer-reviewed publication.