Exploring Multi-Hazard Risk Analysis in Structural Engineering Research

Join Bofan Yu, a Stanford structural engineering master's student, as he shares insights on spatial ground motion correlation models, multi-hazard risk analysis, and the role of machine learning in enhancing infrastructure resilience against natural disasters. Discover innovative approaches to seismic risk analysis and uncertainty quantification.

5/8/20241 min read

A scene of extensive urban destruction with collapsed buildings and piles of debris. The remains of the structures are comprised of concrete, metal, and various building materials. The environment appears desolate and the sky is overcast.
A scene of extensive urban destruction with collapsed buildings and piles of debris. The remains of the structures are comprised of concrete, metal, and various building materials. The environment appears desolate and the sky is overcast.

Structural Engineering Insights