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dc.contributor.authorEnshaeian, A.
dc.contributor.authorLuan, L.
dc.contributor.authorBelding, M.
dc.contributor.authorSun, H.
dc.contributor.authorRizzo, P.
dc.date.accessioned2021-10-18T19:10:15Z
dc.date.available2021-10-18T19:10:15Z
dc.date.issued2021-03
dc.identifier.urihttps://hdl.handle.net/1721.1/133041
dc.description.abstractAbstract Background Continuous welded rails (CWR) are subjected to thermal effects that may lead to buckling or fracture during warm or cold seasons, respectively. The modal characteristics (frequency and mode shapes) of CWR may reveal important information about the thermal stress that can be used to prevent rail failures. Objective The primary objective of this study is to prove a contactless method to monitor the vibration and to extract the modal characteristics of rails using a high-speed camera and advanced image processing. This study is the first step towards a general noninvasive monitoring paradigm aimed at measuring axial stress in CWR. Methods To prove the principles of the proposed paradigm, a finite element model of an unrestrained rail segment under varying length, boundary conditions, and axial stresses was formulated. The results of the model were then used to interpret the experimental results relative to a 2.4 m-long rail subjected to compressive loading–unloading cycles. During the experiment, the rail was subjected to the impact of an instrumented hammer and the triggered vibration was recorded with a high-speed camera. The videos were then processed using the phase-based displacement extraction, motion magnification, as well as dynamic mode decomposition techniques to extract the modal characteristics of the specimen. Results The results show that the frequencies extracted from the images matched well those obtained with two conventional accelerometers bonded to the rail while the mode shapes extracted from the videos matched those predicted numerically. Additionally, the numerical analysis enabled the interpretation of some unexpected experimental results. Conclusions The results presented here proved that the proposed method to infer axial stress in CWR requires proper modeling in order to link the modal characteristics of the rails to the axial stress. In the future, the finite element formulation presented here will be expanded to model CWR under given cross-ties and fasteners conditions in order to link the modal characteristics of the rail of interest to its axial stress.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.1007/s11340-021-00691-zen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer USen_US
dc.titleA Contactless Approach to Monitor Rail Vibrationsen_US
dc.typeArticleen_US
dc.identifier.citationEnshaeian, A., Luan, L., Belding, M., Sun, H. and Rizzo, P. 2021. "A Contactless Approach to Monitor Rail Vibrations."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-05-28T03:28:02Z
dc.language.rfc3066en
dc.rights.holderSociety for Experimental Mechanics
dspace.embargo.termsY
dspace.date.submission2021-05-28T03:28:02Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusPublication Information Neededen_US


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