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Combination of experimental measurements and numerical modelling for prediction of ground-borne vibrations induced by railway traffic

Title
Combination of experimental measurements and numerical modelling for prediction of ground-borne vibrations induced by railway traffic
Type
Article in International Scientific Journal
Year
2022
Authors
Pedro Alves Costa
(Author)
FEUP
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Alexandre Pinto
(Author)
Other
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Jesus Fernandez
(Author)
Other
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Journal
Vol. 343 No. 127928
ISSN: 0950-0618
Publisher: Elsevier
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge
Publicação em ISI Web of Science ISI Web of Science
Other information
Authenticus ID: P-00W-RR4
Abstract (EN): Noise and vibration are considered as the biggest externalities of rail transport, increasing conflicts and problems for residents. Versatile and accurate prediction models are essential for the delimitation of problematic cases and the consideration of possible mitigation measures. Regarding the specific case of vibrations, and in order to minimize the uncertainty level associated with the prediction procedure, the formulation of a hybrid approach is presented, combining numerical and experimental results. This approach is applied to an experimental case study, where for the first time this kind of prediction methodologies are fully validated, involving the track, the ground and the building. Also, as a novelty, a deep discussion about the influence of the number of point source transfer mobilities for the line source transfer mobility is presented. For this purpose, different scenarios are analysed, namely the scenario where it is intention the prediction of the vibration levels inside of a planned building or to evaluate the impact of the construction of a new railway track in the vicinity of an existing building. The satisfactory results achieved by the comparison between experimental and estimated results highlight the practical application of the methodology. © 2022 Elsevier Ltd
Language: English
Type (Professor's evaluation): Scientific
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