The National Science Foundation (NSF) has awarded a $692,942 Faculty Early Career Development (CAREER) grant to the University of California, San Diego (UCSD) under the Engineering program (CFDA 47.041). The 5-year project, which began on September 1, 2024, will develop an integrated experimental and computational framework for modeling the hydro-chemo-mechanical (HCM) behavior of geomaterials across different scales. Key research objectives include:
- Developing a machine learning-enabled material characterization framework for heterogeneous geomaterials;
- Creating a novel multiscale HCM modeling approach with machine learning-based scale bridging techniques; and
- Conducting multiscale virtual testing to unravel the fundamental mechanisms governing geochemical and geomechanical coupling in heterogeneous materials.
The research aims to advance the understanding of rock-fluid interactions and their impact on mechanical and transport properties, which is critical for applications ranging from groundwater management to geological carbon storage. The project will also integrate the research with educational activities, such as outreach to underrepresented students and development of accessible tools.
Generated 1/28/25, 8:33 AM