TO TOP

Data Management

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.

Graphs and Semantics

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.

Digital Twins

In the research field of digital twins, methods and models are developed with a focus on managing heterogeneous and distributed data to optimize the complex planning and process flows along the construction value chain. In the related research projects, digital twins are currently being investigated and developed in the operation of infrastructure (especially bridges) and the production of precast concrete elements. 

Project and Asset Information Management

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.