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dc.creatorKouroussis, G.en
dc.creatorConnolly, D. P.en
dc.creatorVogiatzis, K.en
dc.creatorVerlinden, O.en
dc.date.accessioned2015-11-23T10:36:26Z
dc.date.available2015-11-23T10:36:26Z
dc.date.issued2015
dc.identifier10.1155/2015/142807
dc.identifier.issn1070-9622
dc.identifier.urihttp://hdl.handle.net/11615/29876
dc.description.abstractThis paper analyses the influence of rolling stock dynamics on ground-borne vibration levels. Four vehicle types (Thalys, German ICE, Eurostar, and Belgian freight trains) are investigated using a multibody approach. First, a numerical model is constructed using a flexible track on which the vehicles traverse at constant speed. A two-step approach is used to simulate ground wave propagation which is analysed at various distances from the track. This approach offers a new insight because the train and track are fully coupled. Therefore rail unevenness or other irregularity on the rail/wheel surface can be accurately modelled. Vehicle speed is analysed and the frequency spectrums of track and soil responses are also assessed to investigate different excitation mechanisms, such as carriage periodicities. To efficiently quantify train effects, a new (normalised) metric, defined as the ratio between the peak particle velocity and the nominal axle load, is introduced for a comparison of dynamic excitation. It is concluded that rolling stock dynamics have a significant influence on the free field vibrations at low frequencies, whereas high frequencies are dominated by the presence of track unevenness.en
dc.sourceShock and Vibrationen
dc.source.uri<Go to ISI>://WOS:000351618200001
dc.subjectHIGH-SPEED TRAINSen
dc.subjectINDUCED GROUND VIBRATIONen
dc.subjectDYNAMIC AXLE LOADSen
dc.subjectMOVINGen
dc.subjectLOADen
dc.subjectTRACKen
dc.subjectVEHICLEen
dc.subjectSOILen
dc.subjectPREDICTIONen
dc.subjectEXCITATIONen
dc.subjectBEAMen
dc.subjectAcousticsen
dc.subjectEngineering, Mechanicalen
dc.subjectMechanicsen
dc.titleModelling the Environmental Effects of Railway Vibrations from Different Types of Rolling Stock: A Numerical Studyen
dc.typejournalArticleen


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