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 is integrated in the noise mapping software IMMI. Following modern vibration standards and guidelines, the vibration velocity level in the building in each frequency band is expressed as the sum of a force density (source), line source transfer mobility (propagation) and building correction factor (receiver). This results in a framework that is ideally suited for a hybrid approach that combines experimental data with numerical predictions, providing increased flexibility and applicability. We also discuss the validation of the prototype vibration prediction tool.


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    Titel :

    A Hybrid Prediction Tool for Railway Induced Vibration


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Sheng, Xiaozhen (Herausgeber:in) / Thompson, David (Herausgeber:in) / Degrande, Geert (Herausgeber:in) / Nielsen, Jens C. O. (Herausgeber:in) / Gautier, Pierre-Etienne (Herausgeber:in) / Nagakura, Kiyoshi (Herausgeber:in) / Kuijpers, Ard (Herausgeber:in) / Nelson, James Tuman (Herausgeber:in) / Towers, David A. (Herausgeber:in) / Anderson, David (Herausgeber:in)

    Kongress:

    International Workshop on Railway Noise ; 2022 ; Shanghai, China December 07, 2022 - December 09, 2022



    Erscheinungsdatum :

    24.02.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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