XU LAB

In recent decades, urban built environments have experienced substantial infrastructure damage, economic losses, and societal disruptions due to extreme events (natural hazards).

To better chateractize the complex perfomance of critical infrastructure under rare, high-impact events, we advance  computational modeling and AI-aided surrogate modeling approaches. We further contribute to risk, reliability and resilience assessment by developing uncertainty quantification, probabilistic inference and rare-event simulation techniques. The overarching objective is to support performance-based design, optimization, planning, and risk-informed decision-making of resilient infrastructure under natural hazards. 

Our applications span structures, civil infrastructure and coastal communities exposed to hurricanes and windstorms, floods, and earthquakes.