The development of a hybrid prediction tool for railway induced vibration

Abstract

One of the main objectives of the SILVARSTAR project is to develop a user-friendly frequency-based hybrid prediction tool to assess the environmental impact of railway induced vibration. This model will be integrated in the existing noise mapping software IMMI. Following modern vibration standards and guidelines, the vibration level in a building in each frequency band is expressed as the sum (in decibels) of source, propagation and receiver terms. Each term can be determined experimentally or predicted with numerical models, resulting in a hybrid prediction model that provides increased flexibility and applicability. This paper focuses on the assessment of several modelling assumptions made in the prediction tool, as well as the validation of the computational core by comparing results with those obtained with state-of-the-art prediction models for several numerical case histories. Furthermore, measured transfer functions and train passages at a site in Lincent (Belgium) are used for experimental validation of the prediction tool, and to show its capability for hybrid predictions.

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Identifiers

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

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

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