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

Author

Durali, Mohammad ; Delnavaz, Aidin

Author_Institution

Dept. of Mech. Eng., Sharif Univ. of Technol., Tehran, Iran

fYear

2004

fDate

20-23 April 2004

Firstpage

283

Lastpage

287

Abstract

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.

Keywords

acoustic emission; acoustic field; acoustic noise; boundary-elements methods; finite element analysis; genetic algorithms; geometry; hydrodynamics; minimisation; neural nets; underwater sound; underwater vehicles; BEM simulation; FEM simulation; acoustic energy; boundary element method; finite element method; genetic algorithm; hydrodynamic forces; neural network; noise emission minimisation; optimum external geometric ratios; submarine acoustic field; submarine shape optimization; Acoustic emission; Acoustic noise; Boundary element methods; Finite element methods; Genetic algorithms; Neural networks; Noise shaping; Shape; Underwater acoustics; Underwater vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Underwater Technology, 2004. UT '04. 2004 International Symposium on

Print_ISBN

0-7803-8541-1

Type

conf

DOI

10.1109/UT.2004.1405578

Filename

1405578