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Finite-element-model Updating Using Artificial Neural Networks

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Finite-element-model Updating Using Computional Intelligence Techniques

Abstract

This chapter implements Bayesian neural networks for finite-element-model updating. This method was tested on a simple beam and an unsymmetrical H-shaped structure and compared with an implementation that was based on the response-surface method. It was observed, on average, that the Bayesian neural-network approach gave more accurate results than the response-surface method did.

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(2010). Finite-element-model Updating Using Artificial Neural Networks. In: Finite-element-model Updating Using Computional Intelligence Techniques. Springer, London. https://doi.org/10.1007/978-1-84996-323-7_9

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  • DOI: https://doi.org/10.1007/978-1-84996-323-7_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-322-0

  • Online ISBN: 978-1-84996-323-7

  • eBook Packages: EngineeringEngineering (R0)

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