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Finite Element Model Updating Using Bayesian Approach
Marwala, Tshilidzi
Mdlazi, Lungile
Sibisi, Sibusiso
Location: http://arxiv.org/abs/0705.2515

This paper compares the Maximum-likelihood method and Bayesian method for finite element model updating. The Maximum-likelihood method was implemented using genetic algorithm while the Bayesian method was implemented using the Markov Chain Monte Carlo. These methods were tested on a simple beam and an unsymmetrical H-shaped structure. The results show that the Bayesian method gave updated finite element models that predicted more accurate modal properties than the updated finite element models obtained through the use of the Maximum-likelihood method. Furthermore, both these methods were found to require the same levels of computational loads.

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Finite Element Model Updating Using Bayesian Approach
Id. 25660035
Titulo Finite Element Model Updating Using Bayesian Approach
Autor(es) Marwala, Tshilidzi
Mdlazi, Lungile
Sibisi, Sibusiso
Location http://arxiv.org/abs/0705.2515
Versión 1.0
Estado Final
Descripción This paper compares the Maximum-likelihood method and Bayesian method for finite element model updating. The Maximum-likelihood method was implemented using genetic algorithm while the Bayesian method was implemented using the Markov Chain Monte Carlo. These methods were tested on a simple beam and an unsymmetrical H-shaped structure. The results show that the Bayesian method gave updated finite element models that predicted more accurate modal properties than the updated finite element models obtained through the use of the Maximum-likelihood method. Furthermore, both these methods were found to require the same levels of computational loads.
Palabras clave Statistics - Applications
Tipo de recurso Texto Narrativo
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
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Estructura Atomic
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Requerimientos técnicos Browser: Any
Fecha de contribución 26-jun-2007
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