Welcom to the
Smart and Sustainable Infrastructure Resilience (S2IR) Lab
The human-built environment is constantly facing various threats stemming from natural hazards (e.g., earthquakes, hurricanes, floods, windstorms, and etc.) or aging deteriorations. Understanding the natural hazard physics and how structure and infrastructure systems behave and respond under different external stressors are crucial to risk-informed decision-making under deep uncertainties. Our lab aims to enhance and support the long-term natural hazard resilience of spatially distributed structure and infrastructure systems by synergistically incorporating multi-modal sensing, physics-based modeling, stochastic simulations, optimization methods, advanced data analytics, and artificial intelligence techniques.
Research Interests
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Probabilistic seismic risk assessment
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Multi-hazard risk and resilience assessment of the regional built environment
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Surrogate modeling and data analytics using advanced statistical and machine learning
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Risk-based life-cycle analysis and management of infrastructure
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Uncertainty quantification and propagation
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Decision-making under deep uncertainties
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Structural reliability
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Composite structures