The lecture covers the complete methodology of digital twinning, from fundamental terminology, definitions, and standards through formal, metamodel-based descriptions, system architectures, and internal components to the integration of artificial intelligence, robotics, and human-machine interaction. The content is scientifically rigorous while consistently focusing on practical applicability in civil engineering.
In the accompanying seminar, students develop their own digital twins, test them in laboratory environments, and work with sensors, machine learning, databases, cloud and edge infrastructures, mixed reality systems, as well as modern communication solutions. The main focus lies on applications for predictive maintenance, structural monitoring, and inspection scenarios, in which the developed twins are validated and operated with real data.
“We do not just teach tools, but the entire mindset of the digital twin—from formal definition and architecture to verified implementation,” explains the course coordinator Dr. Chmelnizkij, who, together with Professor Smarsly and Professor Oesterle, initiated the course.
More information: https://www.tuhh.de/idac
Contact:
Dr.-Ing. Alexander Chmelnizkij
Institute of Digital and Autonomous Construction (B-1), Senior Engineer