VIBWAY: A user-friendly computational tool for the prediction of railway-induced ground-borne noise and vibration

Robert Arcos, Kenny Fernando Conto Quispe, Hassan Liravi, Paulo Jorge Soares, Arnau Clot, Jordi Romeu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper aims to introduce a computationally efficient and user-friendly toolbox, called VIBWAY, able to predict vibration and re-radiated noise levels in two situations. On the one hand, it can predict levels in existing buildings due to new lines or after the application of mitigation measures in existing ones. Thus, it can be used to assess the performance of vibration countermeasures applied at the track, vehicle and/or the building. On the other hand, it can predict levels in new buildings to be constructed close to an existing railway line. The VIBWAY toolbox is based on a non-interface 2.5D FEM-SBM approach for the wave propagation on the soil, on semi-analytical approaches for the track and the building and on multibody modelling of the train vehicle.
Original languageEnglish
Title of host publication51st International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2022)
PublisherInstitute of Noise Control Engineering
Pages6450-6458
Number of pages9
ISBN (Print)9781906913427
DOIs
Publication statusPublished - 1 Feb 2023
Externally publishedYes
Event The 51st International Congress and Exposition on Noise Control Engineering - Scottish Event Campus, Glasgow, United Kingdom
Duration: 21 Aug 202224 Aug 2022
https://internoise2022.org/

Publication series

NameINTER-NOISE and NOISE-CON Congress and Conference Proceedings
PublisherInstitute of Noise Control Engineering
ISSN (Print)0736-2935

Conference

Conference The 51st International Congress and Exposition on Noise Control Engineering
Abbreviated titleInter-noise 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period21/08/2224/08/22
Internet address

Fingerprint

Dive into the research topics of 'VIBWAY: A user-friendly computational tool for the prediction of railway-induced ground-borne noise and vibration'. Together they form a unique fingerprint.

Cite this