Multidisciplinary optimisation of a car component under NVH and weight constraints using RSM

Mohammad Azadi, Shahram Azadi, Mahmoud Moradi, Farshad Zahedi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


One of the important challenges in the auto industry is to reduce the mass of the vehicle while meeting structural performance requirements for crashworthiness, noise, vibration and harshness, etc. In this paper, a multidisciplinary optimisation of a car back-bonnet is investigated by using the response surface method. A car body is fully surface modelled in CATIA and meshed in software. Then, modal analysis of the finite element model is performed by NASTRAN software to find natural frequencies. A frequency map of that component is extracted and compared with a reference map to detect defects. Design of experiments methodology is used for a screening of the design space and for the generation of approximation models using response surface techniques. Therefore, to optimise the model, improvement of the noise, vibration and harshness behaviour and minimisation of the weight are imposed.

Original languageEnglish
Pages (from-to)261-270
Number of pages10
JournalInternational Journal of Vehicle Noise and Vibration
Issue number3
Publication statusPublished - May 2009
Externally publishedYes


  • MDO
  • modal analysis
  • multidisciplinary optimisation
  • noise
  • NVH
  • response surface method
  • RSM
  • vibration and harshness
  • weight

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering


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