Intelligente digitale Methoden zur Verlängerung der Nutzungsdauer der Nibelungenbrücke

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Chongjie Kang - , DB InfraGO AG - Stiftungsprofessur für Ingenieurbau (Autor:in)
  • Daniel Andrés Arcones - (Autor:in)
  • Henrik Becks - (Autor:in)
  • Jakob Beetz - (Autor:in)
  • Jörg Blankenbach - (Autor:in)
  • Martin Claßen - (Autor:in)
  • Sebastian Degener - (Autor:in)
  • Cedric Eisermann - , Professur für Massivbau (Autor:in)
  • Anne Göbels - (Autor:in)
  • Josef Hegger - (Autor:in)
  • Ralf Hermann - (Autor:in)
  • Philipp Kähler - (Autor:in)
  • Patricia Peralta - (Autor:in)
  • Yuri Petryna - (Autor:in)
  • Martina Schnellenbach‐Held - (Autor:in)
  • Oliver Schulz - (Autor:in)
  • Kay Smarsly - (Autor:in)
  • Mehmet Fatih Sönmez - (Autor:in)
  • Bjarne Sprenger - (Autor:in)
  • Jörg F. Unger - (Autor:in)
  • Hristo Vassilev - (Autor:in)
  • Martin Weiser - (Autor:in)
  • Steffen Marx - , Professur für Massivbau (Autor:in)

Abstract

Intelligent digital methods for extending the service life of the Nibelungen Bridge. To extend the service life of structures while maintaining their structural safety and functionality, effective monitoring and maintenance concepts are necessary. Within the scope of the Priority Program 2388 “Hundred Plus – Extending the Service Life of Complex Structures through Intelligent Digitalization” (SPP 100+), funded by the German Research Foundation (DFG), interdisciplinary methods including digital models, digital linkages, and condition indicators, have been investigated and validated on the Nibelungen Bridge in Worms. First, two structural health monitoring systems and their combination are described in detail, with particular focus on the fusion of accelerometer data. Subsequently, innovative data-driven simulation methods are presented to determine the complete temperature field of the bridge superstructure. In addition, various numerical solutions covering different element types and levels of detail are introduced. Finally, methods for managing knowledge about the bridge's condition are presented. The methods were developed relatively independently of each other and validated at the NBW. In the next step, all methods will be integrated to support the maintenance of the NBW.

Details

OriginalspracheDeutsch
Seiten (von - bis)303-320
Seitenumfang18
FachzeitschriftBeton- und Stahlbetonbau
Jahrgang121
Ausgabenummer4
Frühes Online-Datum18 Dez. 2025
PublikationsstatusVeröffentlicht - Apr. 2026
Peer-Review-StatusJa

Externe IDs

ORCID /0009-0001-6228-3216/work/200631604
ORCID /0000-0001-8735-1345/work/201624351
Scopus 105025350906

Schlagworte