Our research at the Smart Structures Group focuses on advanced structural analysis, experimental testing, structural health monitoring, and automated construction technologies of civil infrastructure. We accomplish this through advanced analytical computer simulation and experimental testing techniques using the state-of-the-art facilities available at the University of British Columbia. We have developed advanced experimental testing technologies, such as hybrid simulation and nonlinear control algorithms for shake tables, to evaluate structural response under extreme loading conditions. More recently, we have developed and applied novel computer vision, machine learning, and deep learning algorithms to detect and quantify structural damages of steel structures, concrete structures, and structural bolted connections. Recently, we have been investigating the integration of state-of-the-art computer vision, LiDAR, and robotic technologies for smart monitoring and automated construction of civil structures.
Our interests include:
- Seismic behavior and design of steel, concrete, timber, and composite structures
- Novel experimental testing methods
- Structural health monitoring using machine learning, deep learning, and computer vision techniques
- Seismic behavior and design of tall buildings
- Innovative structural components and systems
- Performance-based evaluation methodology and design procedures
- Smart and automated construction methods
- Slab foundation
Our Research Teams and Topics:
AI & Smart Construction Team
The AI & Smart Construction Team is dedicated to revolutionizing the built environment through cutting-edge artificial intelligence. Our research spans computer vision for site safety, digital twins & BIM integration, autonomous construction robotics, and data-driven project analytics. We bridge the gap between AI algorithms and real-world engineering challenges, striving to create smarter, safer, and more sustainable construction practices for the future.
Modular Construction Team
The Modular Construction Team is dedicated to advancing the science and practice of off-site manufacturing and modular integrated construction (MiC). Our research interests span design for manufacture and assembly (DfMA), structural performance of modular connections, digital supply chain optimization, and lifecycle sustainability assessment of prefabricated systems. We aim to bridge the gap between architectural design, structural engineering, and industrial manufacturing, leveraging standardization and automation to deliver safer, faster, and more resource-efficient built environments.
Experimental Testing and Structural Team
The Experimental Testing and Structural Team focuses on evaluating the mechanical behavior and resilience of advanced structural systems through rigorous laboratory testing and numerical simulation. Our research interests include seismic performance assessment, innovative material characterization, structural health monitoring, and validation of novel connection technologies. We combine state-of-the-art experimental facilities with high-fidelity computational modeling to bridge theoretical analysis and practical engineering applications. The team aims to develop evidence-based design methodologies that enhance structural safety, durability, and sustainability under extreme loading conditions.
Smart Foundation Team
The Smart Foundation Team investigates intelligent geotechnical systems that integrate sensing, data analytics, and adaptive design for next-generation infrastructure. Our research spans real-time foundation health monitoring, AI-driven soil-structure interaction modeling, and sustainable ground improvement techniques. We aim to transform traditional foundation engineering into a responsive, data-informed discipline that enhances safety, resilience, and lifecycle performance.