Structural Intelligence for Multi-Hazard Resilience (SIMR) Lab 

Welcome to the webpage of the Structural Intelligence for Multi-Hazard Resilience (SIMR) Lab, dedicated to advancing resilient and intelligent structural systems. The SIMR Lab is focused on developing next-generation computational and data-driven approaches to enhance infrastructure performance under extreme and cascading hazard conditions. Specific areas of interest at SIMR Lab include:

• Performance-based earthquake engineering and structural performance evaluation 

• Multi-hazard resilience, reliability, and sustainability of infrastructure systems 

• Risk, loss, and resilience quantification for engineering systems 

• Computational structural mechanics and high-fidelity numerical modeling 

• High-performance and large-scale scientific computing for structural analysis 

• Artificial intelligence and machine learning applications in structural engineering 

• Computer vision-based monitoring, damage detection, and structural assessment 

• Intelligent sensing and data-driven structural condition evaluation 

• Optimization-based design and decision-making for complex engineering problems