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dc.contributor.authorDai, Jian
dc.contributor.authorJoshua Guan Yi, Lim
dc.contributor.authorKok Keng, Ang
dc.date.accessioned2023-08-15T12:22:23Z
dc.date.available2023-08-15T12:22:23Z
dc.date.created2023-01-23T21:12:19Z
dc.date.issued2022
dc.identifier.isbn978-3-031-15757-8
dc.identifier.isbn978-3-031-15758-5
dc.identifier.issn2211-0984
dc.identifier.issn2211-0992
dc.identifier.urihttps://hdl.handle.net/11250/3084163
dc.description.abstractMaglev trains are modern railway transport systems that utilize non-contact magnetic forces for levitation and propulsion. Owing to the advantage of being wear-free, they can travel at a speed that is much higher than conventional wheeled trains with lower noise emissions. For city and inter-city maglev lines, maglev trains often operate on multi-span elevated bridges. The dynamic re-sponse of the coupled maglev train-bridge system is of great interest to research-ers and engineers to ensure safe travel with the ever-increasing demand for higher operating speeds from the society. This study employs the moving element anal-ysis to efficiently compute the dynamic response of a maglev vehicle traversing a multi-span bridge with each span modeled as a simply supported beam with rotational springs connecting to the adjacent spans. The vehicle is modeled by employing the multi-body system. The vehicle and the bridge are coupled via electromagnetic forces. The accuracy of the proposed computational model is examined by comparison with results obtained using the equivalent finite element model. Parametric studies are carried out to investigate the effect of various fac-tors on the dynamic response of the coupled system. These include the speed of the train, the bridge span length and the stiffness of the suspension system.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofRecent Trends in Wave Mechanics and Vibrations
dc.relation.ispartofseriesMechanisms and Machine Science;
dc.titleMoving Element Analysis of Maglev Train Over Multi-span Elevated Bridgeen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-031-15758-5_62
dc.identifier.cristin2113631
dc.source.journalMechanisms and Machine Scienceen_US


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