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A robust method of the status monitoring of catenary poles installed along high-speed electrified train tracks

  • Electric trains are considered one of the most eco-friendly and safest means of transportation. Catenary poles are used worldwide to support overhead power lines for electric trains. The performance of the catenary poles has an extensive influence on the integrity of the train systems and, consequently, the connected human services. It became a must nowadays to develop SHM systems that provide theElectric trains are considered one of the most eco-friendly and safest means of transportation. Catenary poles are used worldwide to support overhead power lines for electric trains. The performance of the catenary poles has an extensive influence on the integrity of the train systems and, consequently, the connected human services. It became a must nowadays to develop SHM systems that provide the instantaneous status of catenary poles in- service, making the decision-making processes to keep or repair the damaged poles more feasible. This study develops a data-driven, model-free approach for status monitoring of cantilever structures, focusing on pre-stressed, spun-cast ultrahigh-strength concrete catenary poles installed along high-speed train tracks. The pro-posed approach evaluates multiple damage features in an unfied damage index, which leads to straightforward interpretation and comparison of the output. Besides, it distinguishes between multiple damage scenarios of the poles, either the ones caused by material degradation of the concrete or by the cracks that can be propagated during the life span of the given structure. Moreover, using a logistic function to classify the integrity of structure avoids the expensive learning step in the existing damage detection approaches, namely, using the modern machine and deep learning methods. The findings of this study look very promising when applied to other types of cantilever structures, such as the poles that support the power transmission lines, antenna masts, chimneys, and wind turbines.show moreshow less

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  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

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Document Type:Article
Author:Dr.-Eng. Feras AlkamORCiDGND, Pro. Dr. rer. nat. Tom LahmerORCiDGND
DOI (Cite-Link):https://doi.org/10.1016/j.rineng.2021.100289Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20211011-45212Cite-Link
URL:https://www.sciencedirect.com/science/article/pii/S2590123021000906?via%3Dihub
Parent Title (English):Results in Engineering
Publisher:Elsevier
Place of publication:Amsterdam
Language:English
Date of Publication (online):2021/09/30
Date of first Publication:2021/09/30
Release Date:2021/10/11
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2021
Issue:volume 12, article 100289
Pagenumber:8
First Page:1
Last Page:8
Tag:Catenary poles; High-speed electric train; Model-free status monitoring; SHM; Sigmoid function
GND Keyword:Fahrleitung; Schaden
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
600 Technik, Medizin, angewandte Wissenschaften / 600 Technik
BKL-Classification:31 Mathematik
50 Technik allgemein
56 Bauwesen / 56.03 Methoden im Bauingenieurwesen
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2021
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)