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Non-acoustic parameter estimation for multilayer system with porous material by genetic algorithm

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초록

Multilayer systems, mainly used for cabin noise control, etc., usually include porous materials. When performing noise analysis, in addition to classical properties such as Young's modulus and density, 5 additional non-acoustic parameters are required. However, these parameters cannot be easily defined because they are difficult to be measured. Many studies have been conducted to effectively define them by introducing engineering optimization techniques. In this paper, an estimation method by genetic algorithm among evolutionary algorithms is presented. The engineering reliability of the estimated results was verified with NOVA, a commercial software.

Abstract

Multilayer systems, mainly used for cabin noise control, etc., usually include porous materials. When performing noise analysis, in addition to classical properties such as Young's modulus and density, 5 additional non-acoustic parameters are required. However, these parameters cannot be easily defined because they are difficult to be measured. Many studies have been conducted to effectively define them by introducing engineering optimization techniques. In this paper, an estimation method by genetic algorithm among evolutionary algorithms is presented. The engineering reliability of the estimated results was verified with NOVA, a commercial software.

참고문헌 (29)

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