SMQ3 | Digital linking of multi-scale analysis in modelling and monitoring (DIVING)
© Paul Winkler
Project information
submitted by
Paul Winkler
Co-Authors
Lukas Lippold
Mentors
Prof. Dr.-Ing. habil. Carsten Könke ,
Prof. Dr.-Ing. habil. Volkmar Zabel
Faculty:
Civil and Environmental Engineering
Degree programme:
Civil Engineering [Construction, Environment, Building Materials] (Bachelor of Science (B.Sc.)),
Civil Engineering (Master of Science (M.Sc.)),
Management [Construction Real Estate Infrastructure] (Bachelor of Science (B.Sc.)),
Management [Construction Real Estate Infrastructure] (Master of Science (M.Sc.)),
Environmental Engineering (Master of Science (M.Sc.)),
Natural Hazards and Risks in Structural Engineering (NHRE) (englischsprachig) (Master of Science (M.Sc.)),
Computer Science and Media (english) (Master of Science (M.Sc.)),
Digital Engineering (Master of Science (M.Sc.))
Type of project presentation
Research project
Semester
Summer semester 2024
- Coudraystraße 4 - CIB
12. Juli 2024 13 Uhr - 17 Uhr
Links
https://www.uni-weimar.de/de/bau...
https://www.spp100plus.de/
Project description
Damage processes have a significant impact on the service life of engineering structures. Operating built infrastructure beyond its original service life can reduce the immense resource consumption of the construction sector. To ensure safe operation, system and structural health monitoring is required, based on manual inspections and, increasingly, continuous sensor networks. This data is fed into a digital twin from which a robust and responsive predictive model is developed to predict structural integrity using neural networks.
Email: paul.winkler[at]uni-weimar.de