An experimental study on the stochastic model updating of a structure with irreducible parameter variability and fixed but unknown hyperparameters



Isnardi, Irma ORCID: 0000-0002-3362-0236, Menga, Edoardo, Mottershead, John E ORCID: 0000-0003-1279-2562 and Fichera, Sebastiano ORCID: 0000-0003-1006-4959
(2023) An experimental study on the stochastic model updating of a structure with irreducible parameter variability and fixed but unknown hyperparameters. Mechanical Systems and Signal Processing, 200. p. 110597.

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Abstract

The paper provides an experimental evaluation of the sensitivity and Bayesian multilevel approaches to model updating of a system with irreducible (aleatory) parameter variability and fixed but unknown (epistemic) hyperparameters. The research is carried out on a system with three degrees of freedom having coupling springs that facilitate the deliberate introduction of aleatory variability by means of a positioning parameter. In this way, measured natural frequencies from multiple tests are used to recover the tested positional-parameter distributions. Finally, a different arrangement of the system is used to validate the updated model. The contribution of this research is in the experimental comparison of two philosophically different model updating approaches, which is afforded by means of an experimental rig specifically designed so that two natural frequencies are statistically independent. This enables control to be achieved over experimental uncertainty in a straightforward way, thereby illustrating the strengths and possible deficiencies of the two approaches.

Item Type: Article
Additional Information: Source info: MSSP23-560
Uncontrolled Keywords: Stochastic model updating, Sensitivity method, Bayesian multilevel method
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 22 Aug 2023 09:38
Last Modified: 28 Oct 2023 14:00
DOI: 10.1016/j.ymssp.2023.110597
Open Access URL: https://doi.org/10.1016/j.ymssp.2023.110597
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3172286