Building Information Modeling (BIM) is a widely adopted method to manage data in the construction domain. BIM data management is continuously and intensively developed by the chair and forms the foundation for current research in this field. The current research includes, among others: the application of graph-based technologies for the analysis of building designs; the analysis of relationships between information and documents in the information delivery phase based on semantic web technologies; the development of approaches to optimize logistics, supply chain, and prefabrication, e.g., with Digital Twins; the improvement of project information management using smart contracts and blockchain technology.
This research topic deals with the processing of information from the design process of buildings, the provision of this information through Semantic Web and Linked Data approaches in homogeneous data repositories, and with variant analysis of building designs using graph matching techniques. The development of suitable ontologies and appropriate software implementations is in the foreground.
In the research field Manufacturing, Logistics and Supply Chain digital models for the optimization of construction site logistics and supply chain are developed and tested. Furthermore, digital twins are researched with the aim to implement the precision fast-track construction of the future.
In this research topic, digital information solutions are proposed for improving interoperability and automation in design, construction, and operation phase. Concepts for project and asset information management are developed that combine BIM with emerging methods, such as semantic web, blockchain, and smart contracts.