The project Railway Induced Vibration Abatement Solutions (RIVAS) is carried out under the EU’s Seventh Framework Programme for Research and aims at reducing the environmental impact of ground-borne vibration from railway traffic.

    Within the frame of the RIVAS project, an experimental procedure has been established to assess the efficiency of different mitigation measures for railway induced vibration. As an alternative to the experimental assessment, the performance of mitigation measures is often assessed relying on numerical simulations, which requires an accurate prediction of the vibration transfer. Benchmark tests are therefore carried out to investigate to what extent the vibration transfer can be predicted based on preliminary site investigation. In this paper, the results are presented for a site in El Realengo (Spain). First, the free field transfer functions are predicted based on a soil profile identified from geophysical tests. After updating of the material damping ratio, good prediction accuracy is obtained. Next, the track is included in the analysis. The track parameters strongly influence the track receptance and are therefore updated based on the measured track receptance under loaded conditions. The track – free field transfer functions are only slightly affected by the track parameters and are predicted accurately.


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    Titel :

    The Prediction of Vibration Transfer for Railway Induced Ground Vibration


    Weitere Titelangaben:

    Notes Numerical Fluid Mech.


    Beteiligte:
    Nielsen, Jens C.O. (Herausgeber:in) / Anderson, David (Herausgeber:in) / Gautier, Pierre-Etienne (Herausgeber:in) / Iida, Masanobu (Herausgeber:in) / Nelson, James T. (Herausgeber:in) / Thompson, David (Herausgeber:in) / Tielkes, Thorsten (Herausgeber:in) / Towers, David A. (Herausgeber:in) / de Vos, Paul (Herausgeber:in) / Verbraken, H. (Autor:in)


    Erscheinungsdatum :

    01.01.2015


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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