Methodology for the design of the geometry of a cavity and its absorption coefficients as random design variables under vibroacoustic criteria

Renata Troian, Koji Shimoyama, Frédéric Gillot, Sébastien Besset

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Reducing the noise level in the acoustic cavities is the important problem when treating inflight conditions of commercial planes or boats. Shape optimization of the acoustic cavity that will take into account the geometrical and material uncertainties, arising during the manufacturing process, is presented in this paper. The noise level is controlled by minimizing the energy density in the cavity, obtained through an energy method called Simplified Energy Method. Such formulation is based on our previous published work where transformation function mapping 3D cavity surface on a 2D domain was proposed. The optimization process directly relies on this function and thus avoids remeshing of the geometry. Robust optimization is performed using the nondominated sorting genetic algorithm (NSGA-II) together with the Kriging surrogate model. Influence of geometrical and material characteristics on the optimal solution is identified.

Original languageEnglish
Article number1650006
JournalJournal of Computational Acoustics
Volume24
Issue number2
DOIs
Publication statusPublished - 2016 Jun 1

Keywords

  • Genetic algorithm
  • Kriging
  • Shape optimization
  • Simplified energy method

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Applied Mathematics

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