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BEM/FEM simulation of acoustic field and shape optimization of submarine using neural network and genetic algorithm

Durali, M ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. Publisher: 2004
  3. Abstract:
  4. Shape optimization of a submarine for minimized noise emission has been the objective of this work. Boundary element method and finite element methods have been employed to determine the acoustic field around the object. A combined neural network and genetic algorithm scheme is developed to find the optimum external geometric ratios of the submarine for a minimized emitted acoustic energy in certain reference points. The obtained optimum geometric values stay in normal range for minimum hydrodynamic forces and show a close agreement with the trend of change for models coming to operation. © 2004 IEEE
  5. Keywords:
  6. Acoustic field ; BEM ; Genetic algorithm ; Neural network ; PFFEM
  7. Source: 2004 International Symposium on Underwater Technology, UT'04, Taipei, 20 April 2004 through 23 April 2004 ; 2004 , Pages 283-287 ; 0780385411 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/1405578