A dynamic vehicle-bridge model based on the modal identification results of an existing EN57 train and bridge spans with non-ballasted tracks

Marek Szafrański

doi:10.1016/j.ymssp.2020.107039

A dynamic vehicle-bridge model based on the modal identification results of an existing EN57 train and bridge spans with non-ballasted tracks

Abstrakt

This paper addresses the methodology of the bridge-vehicle dynamic model definition based on the free response measurements of an existing train and existing bridge spans. In the case of the railway vehicle, the methodology uses the impulse excitations of a single car by means of the wedge method. In the case of the bridge spans, free responses are collected after the passages of trains. The global modal parameters (frequencies and modal damping) of both structures are identified using two modal identification techniques, i.e., the eigensystem realization algorithm (ERA) and the peak picking method (PP). A simplified single-suspension model of the vehicle with 11 global dof’s is proposed that can be useful in the bridge-vehicle interaction analysis. Two steel spans having non-ballasted tracks are the bridge structures. Field tests are conducted to identify the modal parameters and validate the numerical models. Finally, numerical simulations of the train passing over the bridges are compared with the in situ measurements performed under operating conditions.

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Wersja publikacji: Accepted albo Published Version
Licencja: otwiera się w nowej karcie

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Informacje szczegółowe

Kategoria:: Publikacja w czasopiśmie
Typ:: artykuły w czasopismach
Opublikowano w:: MECHANICAL SYSTEMS AND SIGNAL PROCESSING nr 146, strony 107039 - 107056,
ISSN: 0888-3270
Język:: angielski
Rok wydania:: 2021
Opis bibliograficzny:: Szafrański M.: A dynamic vehicle-bridge model based on the modal identification results of an existing EN57 train and bridge spans with non-ballasted tracks// MECHANICAL SYSTEMS AND SIGNAL PROCESSING -Vol. 146, (2021), s.107039-107056
DOI:: Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.ymssp.2020.107039
Weryfikacja:: Politechnika Gdańska