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A Hybrid UKF-MAG Algorithm for Finite Element Model Updating of Historical Constructions

A Hybrid UKF-MAG Algorithm for Finite Element Model Updating of Historical Constructions
Auteur(s): , ORCID, , ,
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Présenté pendant IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019, publié dans , pp. 29-36
DOI: 10.2749/guimaraes.2019.0029
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The finite element model (FE) updating is a calibration method that allows minimizing the discrepancies between the numerical and experimental modal parameters. As result, a more accurate FE model ...
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Détails bibliographiques

Auteur(s): (Department of Continuum Mechanics and Structural Analysis, Universidad de Sevilla, Seville, Spain)
ORCID (Department of Continuum Mechanics and Structural Analysis, Universidad de Sevilla, Seville, Spain)
(Department of Building Structures and Geotechnical Engineering, Universidad de Sevilla, Seville, Spain)
(Department of Building Structures and Geotechnical Engineering, Universidad de Sevilla, Seville, Spain)
(Department of Building Structures and Geotechnical Engineering, Universidad de Sevilla, Seville, Spain)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019
Publié dans:
Page(s): 29-36 Nombre total de pages (du PDF): 8
Page(s): 29-36
Nombre total de pages (du PDF): 8
DOI: 10.2749/guimaraes.2019.0029
Abstrait:

The finite element model (FE) updating is a calibration method that allows minimizing the discrepancies between the numerical and experimental modal parameters. As result, a more accurate FE model is obtained and the structural analysis can represent the real behaviour of the structure. However, it is a high computational cost process. To overcome this issue, alternative techniques have been developed. This study focuses on the use of the unscented Kalman filter (UKF), which is a local optimization algorithm based on statistical estimation of parameters taken into account the measurements. The dome of a real chapel is considered as benchmark structure. A FE model is updated applying two different algorithms: (i) the multi-objective genetic algorithm and (ii) a hybrid unscented Kalman filter-multi-objective genetic algorithm (UKF-MGA). Finally, a discussion of the results will be presented to compare the performance of both algorithms.