Science Mile Q3 | Digital linking of multi-scale analysis in modelling and monitoring (DIVING)
© Paul Winkler
Project information
submitted by
Paul Winkler
Co-Authors
Lukas Lippold
Mentors
PD 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.)),
Building Material Engineering (Master of Science (M.Sc.)),
Building Physics and Energy-Efficient Building Design (continuing education, extra occupational) (Master of Science (M.Sc.)),
Digital Engineering (Master of Science (M.Sc.))
Type of project presentation
Exhibition
Semester
Summer semester 2023
- Coudraystraße 4 - CIB
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