Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 192001 |
| Fachzeitschrift | Journal of Physics: Conference Series |
| Jahrgang | 2647 |
| Ausgabenummer | 19 |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 12th International Conference on Structural Dynamics, EURODYN 2023 - Delft, Niederlande Dauer: 2 Juli 2023 → 5 Juli 2023 |
Abstract
Bayesian model updating represents a sound formulation to incorporate the unavoidable uncertainties arising in the system identification of infrastructure assets. However, the treatment of cases involving a relatively large number of model parameters remains an open issue, especially for dynamic nonlinear structural models. In this context, an effective implementation of subset simulation is considered within the framework of Bayesian model updating with structural reliability methods (BUS). For improved numerical efficiency, a substructure coupling technique for dynamic analysis is implemented to develop a reduced-order model strategy. To assess the capabilities of the proposed method, an application example that considers a three-dimensional bridge model equipped with nonlinear devices is presented.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Allgemeine Physik und Astronomie
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in: Journal of Physics: Conference Series, Jahrgang 2647, Nr. 19, 192001, 2024.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures
AU - Jerez, D. J.
AU - Jensen, H. J.
AU - Beer, M.
AU - Figueroa, C.
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.
PY - 2024
Y1 - 2024
N2 - Bayesian model updating represents a sound formulation to incorporate the unavoidable uncertainties arising in the system identification of infrastructure assets. However, the treatment of cases involving a relatively large number of model parameters remains an open issue, especially for dynamic nonlinear structural models. In this context, an effective implementation of subset simulation is considered within the framework of Bayesian model updating with structural reliability methods (BUS). For improved numerical efficiency, a substructure coupling technique for dynamic analysis is implemented to develop a reduced-order model strategy. To assess the capabilities of the proposed method, an application example that considers a three-dimensional bridge model equipped with nonlinear devices is presented.
AB - Bayesian model updating represents a sound formulation to incorporate the unavoidable uncertainties arising in the system identification of infrastructure assets. However, the treatment of cases involving a relatively large number of model parameters remains an open issue, especially for dynamic nonlinear structural models. In this context, an effective implementation of subset simulation is considered within the framework of Bayesian model updating with structural reliability methods (BUS). For improved numerical efficiency, a substructure coupling technique for dynamic analysis is implemented to develop a reduced-order model strategy. To assess the capabilities of the proposed method, an application example that considers a three-dimensional bridge model equipped with nonlinear devices is presented.
UR - http://www.scopus.com/inward/record.url?scp=85198496700&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2647/19/192001
DO - 10.1088/1742-6596/2647/19/192001
M3 - Conference article
AN - SCOPUS:85198496700
VL - 2647
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 19
M1 - 192001
T2 - 12th International Conference on Structural Dynamics, EURODYN 2023
Y2 - 2 July 2023 through 5 July 2023
ER -