TY  - JOUR
A1  - Alkam, Feras
A1  - Lahmer, Tom
T1  - A robust method of the status monitoring of catenary poles installed along  high-speed electrified train tracks
T2  - Results in Engineering
N2  - 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 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.
KW  - Fahrleitung
KW  - Catenary poles
KW  - SHM
KW  - Model-free status monitoring
KW  - Sigmoid function
KW  - High-speed electric train
KW  - Schaden
KW  - OA-Publikationsfonds2021
Y1  - 2021
UR  - https://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/4521
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20211011-45212
UR  - https://www.sciencedirect.com/science/article/pii/S2590123021000906?via%3Dihub
VL  - 2021
IS  - volume 12, article 100289
SP  - 1
EP  - 8
PB  - Elsevier
CY  - Amsterdam
ER  -