Title :
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
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;
Conference_Titel :
Underwater Technology, 2004. UT '04. 2004 International Symposium on
Print_ISBN :
0-7803-8541-1
DOI :
10.1109/UT.2004.1405578
