Damage Identification of High-speed Maglev Guideway Girder Based on Modal Identification

Damage Identification of High-speed Maglev Guideway Girder Based on Modal Identification

XiangYun Kong, JingYu Huang, XiaoNong Wang, ShuoWei Wang, Liang Zhao, ZhiHong Fang

Abstract. As a modern high-tech rail vehicle, the maglev train realizes the non-contact suspension and guidance between the train and the guideway, which greatly reduces the resistance of the system. Due to the high-speed operation characteristics of maglev trains, the structural health monitoring of guideway girders is particularly important for the safety and stability of maglev train operation. This paper takes the maglev train guideway girder as the monitoring target, and the finite element model of the maglev vehicle-guideway is established to simulate the running state of the train passing through the guideway girder. The dynamic response data of the guideway girder is obtained in the finite element model, considering healthy states and different damage states of the guideway girder. Then, a modal-based damage identification method is proposed, which obtains the guideway girder damage sensitive characteristics by decomposing the guideway girder acceleration response signal. Finally, based on the measured guideway girder acceleration data, this paper verifies the effectiveness of the damage identification method in guideway girder structure health monitoring, which provides reference and guidance for the future maintenance of the maglev guideway girder.

Keywords
High-Speed Maglev, Modal Identification, Guideway Girder, Dynamic Response, Damage Identification

Published online 2/20/2021, 9 pages
Copyright © 2021 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: XiangYun Kong, JingYu Huang, XiaoNong Wang, ShuoWei Wang, Liang Zhao, ZhiHong Fang, Damage Identification of High-speed Maglev Guideway Girder Based on Modal Identification, Materials Research Proceedings, Vol. 18, pp 278-286, 2021

DOI: https://doi.org/10.21741/9781644901311-34

The article was published as article 34 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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