Project Grant 2551051

The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of California, Davis $131,614 on January 1, 2027, to develop a discrete modeling framework for fracture and damage prediction in structural steel under NSF Engineering (CFDA 47.041).

The research develops a multiscale computational framework integrating a discrete particle representation of steel microstructure within conventional finite element simulations to capture crack initiation, propagation, and arrest. The work comprises five coordinated tasks: developing a mesoscale representation of steel microstructure from microscopy observations; performing high-throughput microscale experiments to quantify mechanical properties of individual phases and interfaces; formulating and implementing a discrete lattice model embedded within finite element analysis; validating predictions against experimental data; and disseminating open-source software, educational materials, and publicly available guidance to researchers, practicing engineers, and standards organizations. The research addresses the challenge that current computer models often simplify steel behavior under stress, producing unreliable fracture predictions when materials or loading conditions change. More accurate predictions will help engineers design structures that perform reliably during earthquakes, extreme weather, and other severe events, while reducing the need for costly physical testing and accelerating development of fracture-resistant steels. Graduate students will receive interdisciplinary training in infrastructure and materials engineering.

Performance occurs at Davis, California, with a period of performance from January 1, 2027, through December 31, 2029.