Demonstration and validation of a hybrid vibration prediction tool for railway induced vibration

Abstract

Although rail is a sustainable and climate-friendly mode of transport, noise and vibration remain particular environmental concerns. Within SILVARSTAR, a two-year collaborative project funded under the Shift2Rail Joint Undertaking in Horizon 2020, the aim is to develop validated software tools to assess the noise and vibration environmental impact of new railway lines or the extension of existing lines. One of two major objectives is the development of a hybrid vibration prediction tool for railway induced vibration incorporating widely accepted solution methods and standards. In order to keep the computational effort low, the soil impedance and track-soil transfer functions are pre-computed for a large number of cases and stored in a numerical database. Additionally, the vibration velocity level is predicted using a low speed approximation, which disregards the Doppler effect. Incoherent axle loads are also assumed. This paper demonstrates the use of the vibration prediction tool for tracks at grade and in tunnels; results are validated with state-of-the-art numerical models.

More information

Identifiers

ORCID for Evangelos Ntotsios: orcid.org/0000-0001-7382-0948

ORCID for David Thompson: orcid.org/0000-0002-7964-5906

Catalogue record

Export record