The Proceedings of OPTIS
Online ISSN : 2424-3019
2002.5
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Estimation of Parameters of Statistical Energy Analysis using Genetic Algorithm
Takayuki KOIZUMIMitsunori MIKINobutaka TUJIUCHIHirosuke HORIIKunio ARAI
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 59-64

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Abstract
This paper describes a parameter optimization method of Statistical Energy Analysis (SEA) using Real Coded Genetic Algorithm (GA). SEA method was developed in '60s for vibration analysis of aerospace structures. It is noticed as vibration and noise analysis method which changes to FEM recently because it has advantages over FEM especially in the analysis of high frequency noise and vibration problems. Though its theory is very explicit, it can't be said that it has been established as the accurate prediction method since construction of SEA models and SEA parameter calculation method are indefinite at actual problems. Therefore, in this research, new SEA parameter estimation method using genetic algorithm (GA) is proposed.
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© 2002 The Japan Society of Mechanical Engineers
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