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Predicting Noise Transmission in a Truck Cabin Using the Statistical Energy Analysis Approach

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Book cover IUTAM Symposium on Statistical Energy Analysis

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 67))

Abstract

A Statistical Energy Analysis (S .E.A.) based model of a truck cabin has been developed in collaboration with the Research Center of RVI (Renault Véhicules Industriels) in Lyon, France. The aim of the associated study was the determination of potential solutions (based on numerical simulations) for improving the sound quality within the driver’s cabin. The model was initially planned to predict the internal noise due to an external acoustic loading and mechanical forces applied to the chassis; these are expected to be the main noise sources for this type of vehicle. A hybrid approach, mixing experimental SEA and analytical SEA modeling, was chosen from the beginning to reach the noise reduction objectives.

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References

  1. N. Lalor : The measurement of SEA loss factors on a fully assembled structures, ISVR Technical Memorandum n° 150, August 1987.

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Author information

Authors and Affiliations

  1. InterAC, 10, impasse Borde-Basse ZA La Violette, 31240, L’Union, France

    Gerard Borello

Authors
  1. Gerard Borello
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Editor information

Editors and Affiliations

  1. Institute of Sound and Vibration Research, University of Southampton, UK

    F. J. Fahy

  2. Department of Ship Science, University of Southampton, UK

    W. G. Price

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© 1999 Springer Science+Business Media Dordrecht

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Borello, G. (1999). Predicting Noise Transmission in a Truck Cabin Using the Statistical Energy Analysis Approach. In: Fahy, F.J., Price, W.G. (eds) IUTAM Symposium on Statistical Energy Analysis. Solid Mechanics and Its Applications, vol 67. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9173-7_25

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  • DOI: https://doi.org/10.1007/978-94-015-9173-7_25

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5131-8

  • Online ISBN: 978-94-015-9173-7

  • eBook Packages: Springer Book Archive

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