@inproceedings{bc5bfa6407ee48c2bd41e16368eaa2c2,
title = "Finite element model updating using Bayesian approach",
abstract = "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.",
keywords = "Bayesian, Finite element updating, Maximum-likelihood",
author = "Tshilidzi Marwala and Lungile Mdlazi and Sibusiso Sibisi",
year = "2005",
language = "English",
isbn = "0912053895",
series = "Conference Proceedings of the Society for Experimental Mechanics Series",
booktitle = "IMAC-XXIII",
note = "23rd Conference and Exposition on Structural Dynamics 2005, IMAC-XXIII ; Conference date: 31-01-2005 Through 03-02-2005",
}