Ponencia
A hybrid UKF-MGA algorithm for finite element model updating of historical constructions
Autor/es | Naranjo Pérez, Javier
Sáez Pérez, Andrés Jiménez Alonso, Javier Fernando Pachón García, Pablo Compán Cardiel, Víctor Jesús |
Departamento | Universidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructuras Universidad de Sevilla. Departamento de Estructuras de Edificación e Ingeniería del Terreno |
Fecha de publicación | 2019 |
Fecha de depósito | 2024-01-19 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | Naranjo Pérez, J., Sáez Pérez, A., Jiménez Alonso, J.F., Pachón García, P. y Compán Cardiel, V.J. (2019). A hybrid UKF-MGA algorithm for finite element model updating of historical constructions. En IABSE Symposium 2019 Guimarães Towards a Resilient Built Environment - Risk and Asset Management March 27-29, 2019, Guimarães, Portugal. |
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