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Long‐term validation of virtual sensing of a railway bridge with ballasted superstructure

Lorenzen, Steven Robert ; Berthold, Hagen ; Fritzsche, Max Johannes Alois ; Rupp, Maximilian Michael ; Riedel, Henrik ; Apostolidi, Eftychia ; Schneider, Jens (2023)
Long‐term validation of virtual sensing of a railway bridge with ballasted superstructure.
In: ce/papers, 2023, 6 (5)
doi: 10.26083/tuprints-00024682
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Long‐term validation of virtual sensing of a railway bridge with ballasted superstructure
Language: English
Date: 1 December 2023
Place of Publication: Darmstadt
Year of primary publication: 25 September 2023
Place of primary publication: Berlin
Publisher: Ernst & Sohn, a Wiley brand
Journal or Publication Title: ce/papers
Volume of the journal: 6
Issue Number: 5
DOI: 10.26083/tuprints-00024682
Corresponding Links:
Origin: Secondary publication DeepGreen

Railway bridges have a long lifespan, which is challenged by the constant development of vehicles leading to increased loads that they were not originally designed for. To ensure the longest possible use of existing structures, a sensor‐based structural health monitoring system can make a significant contribution. However, due to economic reasons and the inaccessibility of many points of interest, sensors cannot be installed everywhere. Therefore, in most cases, only a few sensors are available at a few points of interest, and methods that aim to reconstruct structural responses at unmeasured points from these measurements are referred to as virtual sensing. In this paper, we have analyzed 19,075 passages recorded on a steel trough bridge with a ballast superstructure and a span of 16.4 m, together with weather data. Our findings show that the influence of train type and speed has a significantly higher impact on the results than environmental factors. The investigation revealed that the model‐based analysis produced similar results to the data‐driven analysis concerning acceleration signals. However, when analyzing strain signals, the two approaches yielded distinctly different results.

Uncontrolled Keywords: virtual sensing, railway bridges, long‐term monitoring, field test, ballasted superstructure, response estimation, response reconstruction
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-246821
Classification DDC: 600 Technology, medicine, applied sciences > 624 Civil engineering and environmental protection engineering
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute für Structural Mechanics and Design
Date Deposited: 01 Dec 2023 13:51
Last Modified: 15 Dec 2023 10:52
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24682
PPN: 514025891
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