Research
My research focuses on advancing the assessment and design of infrastructure systems subjected to extreme loading through the development of real-time hybrid simulation (RTHS) frameworks that couple physical experiments with high-fidelity computational models.
My work emphasizes multi-physics cyber-physical simulations incorporating soil-structure, fluid-structure, and aeroelastic interaction effects using neural-network-based surrogate models and real-time digital twins.
Major Research Themes
Multi-physics RTHS
Development of RTHS frameworks integrating neural-network surrogate models of soil-foundation and fluid domains with experimental substructures.
Multi-directional RTAHS
Development of multi-directional real-time aeroelastic hybrid simulation frameworks for evaluating wind-induced response of tall buildings.
Real-time Digital Twins
Online neural-network surrogate models and cyber-physical model updating frameworks for RTHS experimental substructures.
Seismic Resilience
Computational and experimental investigations on seismic performance assessment of SMA-based damping systems, nonlinear damping devices, and mass timber structures.
Research Interests
Research Demonstration
Real-Time Hybrid Simulation of Fluid-Structure Interaction Systems
Experimental demonstration of multi-physics fluid-structure interaction using neural-network-based models.
Real-Time Hybrid Simulation of Soil-Structure Interaction Systems
Experimental demonstration of multi-physics soil-structure interaction using neural-network-based models.