Bridgitise

The overall project is structured as a Europe-wide doctoral network with 16 individual research projects (Doctoral Candidates, DCs), grouped into three thematic clusters:

• Cluster 1: Data collection (e.g. drones, InSAR, crowdsensing)
• Cluster 2: Data processing and secure information transfer (e.g. AI, cloud, cybersecurity)
• Cluster 3: Modelling & decision support for bridge management (e.g. digital twins, BIM, risk analysis)

All doctoral candidates work in a cooperative environment bridging academia and industry. At least 18 months of their research is spent with a non-academic partner organisation.
A digital open-access portal (D-BOOK) will provide public access to data, software, models and results. BRIDGITISE thus serves as an innovation driver for digitalisation in construction and the training of a new generation of bridge experts.

The DC16 subproject develops a digital platform based on Building Information Modelling (BIM), which supports decision-making processes in bridge management. The focus is on linking digital models with modules for decision analysis over the entire lifecycle of a bridge.
Wölfel is mainly responsible for developing the BIM interface and acts as host for the first project phase. According to the project plan, during this phase the BIM model will be created with interfaces to SHM data (structural monitoring), AI-supported condition assessment and decision logic, and a validation case will be prepared – using real bridge data provided by BASt.

Specific work areas include:

• Modelling lifecycle decision scenarios
• Developing integrity management processes within BIM
• Creating an information structure with interfaces to:
  • SHM data (structural monitoring)
  • Deterioration prediction from other subprojects
  • Indicators from visual inspections
  • Decision analysis

After the stay at Wölfel, the doctoral candidate will spend three months at BASt (secondment) and complete the project at Lund University with the integration of the decision models.