Smart Structures Lab. conducts research on analysis and design models for reinforced concrete and composite structures. Because of complicated load transfer mechanisms in reinforced concrete and composite structures, most of design models specified in current design codes are determined empirically from extensive experimental data. This means that existing design models significantly depend on the number of structural tests and design parameters. On the other hand, Smart Structures Lab. focuses on developing analysis and design models, as well as performance evaluation models, on the basis of mechanism theory and artificial Intelligence. This allows us to accurately evaluate the structural performance of structural members and systems with various design parameters and new details, and to present rational analysis and design models for various structural members.

Research Areas

• Artificial Intelligence (Machine Learning)
• Earthquake Engineering of Building Structures
• Reinforced Concrete / Steel-Concrete Composite Design
• Prefabricated Structures Design
• Behavior and Design of Fiber-Reinforced Concrete (FRC)
• Behavior and Design of Reinforced Geopolymer Concrete
• Bond Mechanism of Reinforcement Bars
• Impact Loading and Resistance of Reinforced Concrete
• Progressive Collapse of Building Structures
• Large-scale Experimental Testing of Structural Components and Structures