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Real-time estimation of the structural utilization level of segmental tunnel lining

Gottardi, Nicola ; Freitag, Steffen 1; Meschke, Günther
1 Institut für Baustatik (IBS), Karlsruher Institut für Technologie (KIT)

Abstract:

Over the last decades, an expansion of the underground network has been taking place to cope with the increasing amount of moving people and freight. As a consequence, it is of vital importance to guarantee the full functionality of the tunnel network by means of preventive maintenance and the monitoring of the tunnel lining state over time. A new method has been developed for the real-time prediction of the utilization level in tunnel segmental linings based on input monitoring data. The new concept is founded on a framework, which encompasses an offline and an online stage. In the former, the generation of feedforward neural networks is accomplished by employing synthetically produced data. Finite element simulations of the lining structure are conducted to analyze the structural response under multiple loading conditions. The scenarios are generated by assuming ranges of variation of the model input parameters to account for the uncertainty due to the not fully determined in situ conditions. Input and target quantities are identified to better assess the structural utilization of the lining. The latter phase consists in the application of the methodological framework on input monitored data, which allows for a real-time prediction of the physical quantities deployed for the estimation of the lining utilization. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175732
Veröffentlicht am 29.10.2024
Originalveröffentlichung
DOI: 10.1016/j.undsp.2023.11.011
Scopus
Zitationen: 4
Web of Science
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Baustatik (IBS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2024
Sprache Englisch
Identifikator ISSN: 2467-9674
KITopen-ID: 1000175732
Erschienen in Underground Space
Verlag Elsevier
Band 17
Seiten 132–145
Nachgewiesen in Web of Science
Dimensions
Scopus
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