International Journal of Automotive Technology

, Volume 20, Issue 5, pp 1043–1050 | Cite as

Road Noise Reduction of a Sport Utility Vehicle via Panel Shape and Damper Optimization on the Floor Using Genetic Algorithm

  • Ji Woo YooEmail author
  • Francesca Ronzio
  • Theophane Courtois


Road noise is always a major concern in automotive industries. The contribution of the floor of a automotive vehicle to road noise is large because of its large area and close location to chassis in terms of structure-borne noise. Therefore, the panel shape and damper of the floor should be carefully designed, which are effective on medium frequency region of the road noise. Because there are so many design options on the floor panels that experience high modal density and short wavelength at medium frequencies, traditional mode-decoupling approaches are no longer efficient. This study shows that a proposed optimization process based on a finite element model and a genetic algorithm is successful to reduce road noise at medium frequencies. Some background theories about the genetic algorithm and acoustic radiation efficiency in the frame of vibro-acoustics are explained to understand the optimization process. Vehicle performance evaluation and experimental study are given to validate this study. Finally, this verified process is applied to a sport utility vehicle (SUV) under development, whose road noise reduction is shown to be successful.

Key words

Automotive Optimization Genetic algorithm Road noise Structure-borne noise Panel shape Damper Medium frequency TPA Radiation efficiency SUV 



speed of sound, m/s


wavenumber, rad/m


sound pressure, pascal


thickness, m


velocity, m/s


area, m2


distance (= performance − target)


young’s modulus, N/m2


force, N


number of peaks


sum of distance; area of panel, m2


radiated power, watt


flexural wavelength, m


area density, kg/m2


angular frequency, rad/s


poisson’s ratio


density of air, kg/m3


acoustic radiation efficiency



peak id; transfer path id


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The author is grateful to Autoneum CAE team who developed and modified the optimization software especially for this project.


  1. Cotoni, V., Shorter, P. J. and Langley, R. S. (2007). Numerical and experimental validation of a hybrid finite element-statistical energy analysis method. J. Acoustic Society of America 122, 1, 259–270.CrossRefGoogle Scholar
  2. Cremer, L., Heckl, M. and Ungar, E. E. (1988). Structure-Borne Sound. 2nd edn. Springer-Verlag. Berlin, Germany.CrossRefGoogle Scholar
  3. Goldberg, D. E. (2002). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company. Boston, Massachusetts, USA.Google Scholar
  4. Guj, L., Bertolini, C. and Courtois, T. (2011). FE and genetic algorithm optimization of a vehicle sound package with respect to interior SPL under weight constraints. Proc. Automotive Acoustics Conf., Zurich, Switzerland.Google Scholar
  5. Kim, K. C. and Kim, C. M. (2007). Process of designing body structures for the reduction of rear seat noise in passenger car. Int. J. Automotive Technology 8, 1, 67–73.MathSciNetCrossRefGoogle Scholar
  6. Maidanik, G. (1962). Response of ribbed panels to reverberant fields. J. Acoustic Society of America 34, 6, 809–826.CrossRefGoogle Scholar
  7. Nashif, A. D., Jones, D. I. G. and Henderson, J. P. (1985). Vibration Damping. John Wiley & Sons. Hoboken, New Jersey, USA.Google Scholar
  8. Onsay, T., Akanda, A. and Goetchius, G. (1999). Vibroacoustic behaviour of bead-stiffened flat panels: FEA, SEA, and experimental analysis. SAE Paper No. 1999-01-1698.Google Scholar
  9. Van der Auweraer, H., Mas, P., Dom, S., Vecchio, A., Janssens, K. and Van de Ponseele, P. (2007). Transfer path analysis in the critical path of vehicle refinement: The role of fast, hybrid and operational path analysis. SAE Paper No. 2007-01-2352.Google Scholar
  10. Wang, X. (2010). Vehicle Noise and Vibration Refinement. Woodhead Publishing. Sawston, UK.CrossRefGoogle Scholar
  11. Yoo, J. W., Chae, K.-S., Charpentier, A. and Lim, J. Y. (2014). Development of FE-SEA hybrid model for the prediction of vehicle structure-borne noise at midfrequencies. Trans. Korean Society of Noise and Vibration Engineers 24, 8, 606–612.CrossRefGoogle Scholar
  12. Yoo, J. W., Chae, K.-S., Park, C.-M., Suh, J. K. and Lee, K. Y. (2012). Evaluation of design variables to improve noise radiation and insulation performances of a dash panel component of an automotive vehicle. Trans. Korean Society of Noise and Vibration Engineers 22, 1, 22–28.CrossRefGoogle Scholar
  13. Yoo, J. W., Lee, S.-W., Ronzio, F., Courtois, T. and Horak, J. (2015). Study and application of the structure-borne noise reduction in automotive vehicles by optimizing the panel ribs, damping, and sound packages. Proc. Internoise, San Francisco, USA.Google Scholar

Copyright information

© KSAE 2019

Authors and Affiliations

  • Ji Woo Yoo
    • 1
    Email author
  • Francesca Ronzio
    • 2
  • Theophane Courtois
    • 2
  1. 1.NV CAE Team, Hyundai Motor R&DGyeonggiKorea
  2. 2.Products and Systems Simulation Team, Autoneum HoldingWinterthurSwitzerland

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