Structural Component

Research on structural components focuses on improving design, analysis, and maintenance through advanced modeling and automation. Current efforts involve developing novel robotic systems for automated construction and inspection, employing machine learning algorithms like vision transformers and deep learning models to analyze high-resolution images and predict stress distributions, and utilizing digital reconstruction techniques to improve fatigue life prediction. These advancements enhance efficiency, safety, and reliability in various applications, from building construction to infrastructure maintenance and manufacturing.