A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters

Antonios Kamariotis; Luca Sardi; Iason Papaioannou; Eleni N. Chatzi; Daniel Straub

doi:10.1007/978-3-031-04090-0_2

A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters

Antonios Kamariotis, Luca Sardi, Iason Papaioannou, Eleni N. Chatzi, Daniel Straub

Professur für Risikoanalyse und Zuverlässigkeit

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Many preventive maintenance schemes for managing structural deterioration rely on stochastic deterioration models. In this context, continuous structural health information can be employed within a Bayesian framework to update the distributions of the time-invariant deterioration model parameters. Bayesian parameter estimation can be performed either in an online or an offline fashion. In this contribution, we investigate different online and offline algorithms implemented for learning the model parameters, and their uncertainty, considering a probabilistic model of fatigue crack growth that is updated with continuous crack monitoring measurements. The numerical investigations provide insights on the performance of the different algorithms in terms of accuracy of the posterior estimates and computational cost.

Originalsprache	Englisch
Titel	Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022
Redakteure/-innen	Zhu Mao
Herausgeber (Verlag)	Springer
Seiten	17-20
Seitenumfang	4
ISBN (Print)	9783031040894
DOIs	https://doi.org/10.1007/978-3-031-04090-0_2
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	40th IMAC, A Conference and Exposition on Structural Dynamics, 2022 - Orlando, USA/Vereinigte Staaten Dauer: 7 Feb. 2022 → 10 Feb. 2022

Publikationsreihe

Name	Conference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)	2191-5644
ISSN (elektronisch)	2191-5652

Konferenz

Konferenz	40th IMAC, A Conference and Exposition on Structural Dynamics, 2022
Land/Gebiet	USA/Vereinigte Staaten
Ort	Orlando
Zeitraum	7/02/22 → 10/02/22

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10.1007/978-3-031-04090-0_2

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Kamariotis, A., Sardi, L., Papaioannou, I., Chatzi, E. N., & Straub, D. (2023). A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. in Z. Mao (Hrsg.), Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022 (S. 17-20). (Conference Proceedings of the Society for Experimental Mechanics Series). Springer. https://doi.org/10.1007/978-3-031-04090-0_2

Kamariotis, Antonios ; Sardi, Luca ; Papaioannou, Iason et al. / A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022. Hrsg. / Zhu Mao. Springer, 2023. S. 17-20 (Conference Proceedings of the Society for Experimental Mechanics Series).

@inproceedings{0fc7263368724c1b8cb6b5ec4e823d7a,

title = "A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters",

abstract = "Many preventive maintenance schemes for managing structural deterioration rely on stochastic deterioration models. In this context, continuous structural health information can be employed within a Bayesian framework to update the distributions of the time-invariant deterioration model parameters. Bayesian parameter estimation can be performed either in an online or an offline fashion. In this contribution, we investigate different online and offline algorithms implemented for learning the model parameters, and their uncertainty, considering a probabilistic model of fatigue crack growth that is updated with continuous crack monitoring measurements. The numerical investigations provide insights on the performance of the different algorithms in terms of accuracy of the posterior estimates and computational cost.",

keywords = "Bayesian inference, Markov chain Monte Carlo, Particle filter, Structural deterioration, Uncertainty quantification",

author = "Antonios Kamariotis and Luca Sardi and Iason Papaioannou and Chatzi, {Eleni N.} and Daniel Straub",

note = "Publisher Copyright: {\textcopyright} 2023, The Society for Experimental Mechanics, Inc.; 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022 ; Conference date: 07-02-2022 Through 10-02-2022",

year = "2023",

doi = "10.1007/978-3-031-04090-0_2",

language = "English",

isbn = "9783031040894",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

publisher = "Springer",

pages = "17--20",

editor = "Zhu Mao",

booktitle = "Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022",

}

Kamariotis, A, Sardi, L, Papaioannou, I, Chatzi, EN & Straub, D 2023, A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. in Z Mao (Hrsg.), Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022. Conference Proceedings of the Society for Experimental Mechanics Series, Springer, S. 17-20, 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, Orlando, USA/Vereinigte Staaten, 7/02/22. https://doi.org/10.1007/978-3-031-04090-0_2

A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. / Kamariotis, Antonios; Sardi, Luca; Papaioannou, Iason et al.
Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022. Hrsg. / Zhu Mao. Springer, 2023. S. 17-20 (Conference Proceedings of the Society for Experimental Mechanics Series).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters

AU - Kamariotis, Antonios

AU - Sardi, Luca

AU - Papaioannou, Iason

AU - Chatzi, Eleni N.

AU - Straub, Daniel

PY - 2023

Y1 - 2023

N2 - Many preventive maintenance schemes for managing structural deterioration rely on stochastic deterioration models. In this context, continuous structural health information can be employed within a Bayesian framework to update the distributions of the time-invariant deterioration model parameters. Bayesian parameter estimation can be performed either in an online or an offline fashion. In this contribution, we investigate different online and offline algorithms implemented for learning the model parameters, and their uncertainty, considering a probabilistic model of fatigue crack growth that is updated with continuous crack monitoring measurements. The numerical investigations provide insights on the performance of the different algorithms in terms of accuracy of the posterior estimates and computational cost.

AB - Many preventive maintenance schemes for managing structural deterioration rely on stochastic deterioration models. In this context, continuous structural health information can be employed within a Bayesian framework to update the distributions of the time-invariant deterioration model parameters. Bayesian parameter estimation can be performed either in an online or an offline fashion. In this contribution, we investigate different online and offline algorithms implemented for learning the model parameters, and their uncertainty, considering a probabilistic model of fatigue crack growth that is updated with continuous crack monitoring measurements. The numerical investigations provide insights on the performance of the different algorithms in terms of accuracy of the posterior estimates and computational cost.

KW - Bayesian inference

KW - Markov chain Monte Carlo

KW - Particle filter

KW - Structural deterioration

KW - Uncertainty quantification

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U2 - 10.1007/978-3-031-04090-0_2

DO - 10.1007/978-3-031-04090-0_2

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AN - SCOPUS:85135064769

SN - 9783031040894

T3 - Conference Proceedings of the Society for Experimental Mechanics Series

SP - 17

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BT - Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022

A2 - Mao, Zhu

PB - Springer

T2 - 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022

Y2 - 7 February 2022 through 10 February 2022

ER -

Kamariotis A, Sardi L, Papaioannou I, Chatzi EN, Straub D. A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. in Mao Z, Hrsg., Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022. Springer. 2023. S. 17-20. (Conference Proceedings of the Society for Experimental Mechanics Series). doi: 10.1007/978-3-031-04090-0_2

A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters

Abstract

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