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A Hybrid Prediction Tool for Railway Induced Vibration

  • Pascal Bouvet,
  • Brice Nélain,
  • David Thompson,
  • Evangelos Ntotsios,
  • Andreas Nuber,
  • Bernd Fröhling,
  • Pieter Reumers,
  • Fakhraddin Seyfaddini,
  • Geertrui Herremans,
  • Geert Lombaert,
  • Geert Degrande

摘要

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.