The continuous monitoring and maintenance of infrastructures such as bridges, have become major socio-economic issues. The emergence of new technologies, both for surveying structures and for modelling and digital processing, has the potential to improve the efficiency of structure management.
The BridgeTwin project aims to develop the workflow from the data collected by methods without impact on traffic, to a digital twin that will serve as a reference model for the planning of maintenance measures.
The methodology will be developed and validated using two reference structures (bridges). The creation of the geometry of a digital twin from unstructured data (point clouds) represents a step forward compared to the current situation, which is based on data that is rarely available in digital format and sometimes not in line with reality.
The integration of non-geometric data into the digital twin (e.g. inspection reports, materials and description sheets) will allow for improved maintenance and use of these structures with analysis software.
Picture: infrastructuResilience
Project partner(s)
Project leader - team
Bernd Domer
(HEPIA),
Bertrand Cannelle
(HEIG-VD)