Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94253
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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorWang, Ken_US
dc.creatorCao, Wen_US
dc.creatorXu, Len_US
dc.creatorYang, Xen_US
dc.creatorSu, Zen_US
dc.creatorZhang, Xen_US
dc.creatorChen, Len_US
dc.date.accessioned2022-08-11T01:09:39Z-
dc.date.available2022-08-11T01:09:39Z-
dc.identifier.issn0041-624Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/94253-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2019 Elsevier B.V. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Wang, K., Cao, W., Xu, L., Yang, X., Su, Z., Zhang, X., & Chen, L. (2020). Diffuse ultrasonic wave-based structural health monitoring for railway turnouts. Ultrasonics, 101, 106031 is available at https://doi.org/10.1016/j.ultras.2019.106031.en_US
dc.subjectDiffuse ultrasonic wavesen_US
dc.subjectIn-situ health monitoringen_US
dc.subjectIndustrial implementationen_US
dc.subjectPZT sensor networken_US
dc.subjectRailway turnoutsen_US
dc.titleDiffuse ultrasonic wave-based structural health monitoring for railway turnoutsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume101en_US
dc.identifier.doi10.1016/j.ultras.2019.106031en_US
dcterms.abstractReal-time damage evaluation is a critical step to warrant the integrity of turnout systems in railway industry. Nevertheless, existing structural health monitoring (SHM) approaches, despite their proven effectiveness in laboratory demonstration, are restricted from in-situ implementation in engineering practice. Based upon the continued endeavors of the authors in developing SHM approaches and exploring real world applications, an in-situ SHM approach, exploiting active diffuse ultrasonic waves (DUW) and a benchmark-less method, has been developed and implemented in a marshalling station in China. When trains passing a railway turnout, the train-induced loads on the rail track can lead to the growth of defects in the rail, and such growth disturbs the ultrasound traversing at the defect and gives rise to discrepancies between the DUW signals acquired before and after the train's passage. On this basis, a damage index, making use of the defect growth-induced changes in DUW signals, is proposed to identify the presence of defect. The probability of defect growth induced by the train-related load can be used to assess the severity of the defect. Via an online diagnosis system, conformance tests are implemented in Chengdu North Marshalling Station, in which defects in switch rails are identified and the health status of in-service rail tracks are continuously monitored. The results have demonstrated the effectiveness and reliability of DUW-driven SHM towards real world railway turnout applications.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationUltrasonics, Feb. 2020, v. 101, 106031en_US
dcterms.isPartOfUltrasonicsen_US
dcterms.issued2020-02-
dc.identifier.scopus2-s2.0-85072565925-
dc.identifier.eissn1874-9968en_US
dc.identifier.artn106031en_US
dc.description.validate202208 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberME-0307-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; National Rail Transit Electrification and Automation Engineering Technology Research Centeren_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS14562107-
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