Bestandsbewertung als Grundlage für die Restnutzungsdauerverlängerung mit Digitalen Zwillingen

Research output: Contribution to specialist publicationFeature article/Contribution (Feuilleton)Contributedpeer-review

Contributors

  • Chris Voigt - , Marx Krontal Partner GmbH (Author)
  • Caroline Barr - , Marx Krontal Partner GmbH (Author)
  • Andreas Jackmuth - , State Office for Mobility Rhineland-Palatinate (Author)
  • Naceur Kerkeni - , Hegger + Partner Ingenieure GmbH & Co. KG (Author)
  • Fabian Klein - , DB Netz AG - Endowed Chair of Civil Engineering, Marx Krontal Partner GmbH (Author)
  • Arne Klimt - , Marx Krontal Partner GmbH (Author)
  • Steffen Marx - , Chair of Concrete Structures, Institute of Concrete Structures (Author)
  • Gero Marzahn - , Federal Ministry of Transport (Author)
  • Hubert Naraniecki - , Marx Krontal Partner GmbH (Author)
  • Marleen Waßmann - , Marx Krontal Partner GmbH (Author)

Abstract

Condition assessment as a basis for extending the remaining service life using digital twins. The Nibelungen Bridge in Worms serves as a pilot project for the use of a digital twin to extend the remaining service life of the structure. The project is funded by the Federal Ministry for Digital and Transport (BMDV) and the Rhineland-Palatinate State Mobility Agency (LBM). The Federal Highway Research Institute (BASt) defines a digital twin in the “Rahmendokument: Digitaler Zwilling Bundesfernstraßen – Definition und Konzeption” as “[…] a virtual, dynamic representation of the real system and its interdependencies. It supports optimized decision-making for sustainable infrastructure lifecycle management through (semi-)automated, bidirectional data and information exchange.” To create a representation of the real system, the structure must first be captured and assessed through an intensive survey. For this purpose, the Nibelungen Bridge employs state-of-the-art digital methods such as laser scanning, drone surveys, non-destructive testing, and structural monitoring. Using the BIM methodology, these data are integrated into the digital twin and into a highly detailed finite-element-model for model updating. The verification of structural stability and the evaluation of durability are thus based on the actual properties and responses of the structure. Remaining deficiencies will be assessed in real time in the digital twin based on condition indicators.

Translated title of the contribution
Condition assessment as a basis for extending the remaining service life using digital twins

Details

Original languageGerman
Pages177-185
Number of pages9
Volume102
Issue number3
JournalBautechnik
Publication statusPublished - Mar 2025
Peer-reviewedYes
No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.ContributionToPeriodical

External IDs

ORCID /0000-0001-8735-1345/work/183565189
ORCID /0000-0003-2174-9734/work/183566004

Keywords

Keywords

  • BIM, building diagnostic, condition indicator, digital twin, model update, remaining unseful life, structural monitoring, surveying