An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures

authored by: D. J. Jerez, H. J. Jensen, M. Beer, C. Figueroa
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.
Organisation(s): Institute for Risk and Reliability
External Organisation(s): Universidad Tecnica Federico Santa Maria
Tongji University
University of Liverpool
Type: Conference article
Journal: Journal of Physics: Conference Series
Volume: 2647
ISSN: 1742-6588
Publication date: 2024
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Physics and Astronomy
Electronic version(s): https://doi.org/10.1088/1742-6596/2647/19/192001 (Access: Open)

BibTeX

@article{5db957d3972449f5b726083fb7751a38,
title = "An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures",
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.",
author = "Jerez, {D. J.} and Jensen, {H. J.} and M. Beer and C. Figueroa",
note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 12th International Conference on Structural Dynamics, EURODYN 2023 ; Conference date: 02-07-2023 Through 05-07-2023",
year = "2024",
doi = "10.1088/1742-6596/2647/19/192001",
language = "English",
volume = "2647",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "19",
}