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Gaussian Process Based Grey-Box Modelling for SHM of Structures Under Fluctuating Environmental Conditions
https://orcid.org/http://orcid.org/0000-0002-7905-927X
https://orcid.org/http://orcid.org/0000-0002-3433-3247
https://orcid.org/http://orcid.org/0000-0001-5204-1910
The aim of this paper is to develop a grey-box modelling method that incorporates both physical insight and learning from data. In this paper, a simple and intuitive approach is adopted, which is to represent physical laws through the prior mean function in a Gaussian process. This approach naturally adheres with the Bayesian viewpoint. The benefits of the approach, particularly in extrapolation, are shown in an example case study, where a model to predict deck displacements of a cable-stayed bridge is developed.
Gaussian Process Based Grey-Box Modelling for SHM of Structures Under Fluctuating Environmental Conditions
https://orcid.org/http://orcid.org/0000-0002-7905-927X
https://orcid.org/http://orcid.org/0000-0002-3433-3247
https://orcid.org/http://orcid.org/0000-0001-5204-1910
The aim of this paper is to develop a grey-box modelling method that incorporates both physical insight and learning from data. In this paper, a simple and intuitive approach is adopted, which is to represent physical laws through the prior mean function in a Gaussian process. This approach naturally adheres with the Bayesian viewpoint. The benefits of the approach, particularly in extrapolation, are shown in an example case study, where a model to predict deck displacements of a cable-stayed bridge is developed.
Gaussian Process Based Grey-Box Modelling for SHM of Structures Under Fluctuating Environmental Conditions
https://orcid.org/http://orcid.org/0000-0002-7905-927X
https://orcid.org/http://orcid.org/0000-0002-3433-3247
https://orcid.org/http://orcid.org/0000-0001-5204-1910
The aim of this paper is to develop a grey-box modelling method that incorporates both physical insight and learning from data. In this paper, a simple and intuitive approach is adopted, which is to represent physical laws through the prior mean function in a Gaussian process. This approach naturally adheres with the Bayesian viewpoint. The benefits of the approach, particularly in extrapolation, are shown in an example case study, where a model to predict deck displacements of a cable-stayed bridge is developed.
Gaussian Process Based Grey-Box Modelling for SHM of Structures Under Fluctuating Environmental Conditions
Lecture Notes in Civil Engineering
Rizzo, Piervincenzo (editor) / Milazzo, Alberto (editor) / Zhang, Sikai (author) / Rogers, Timothy J. (author) / Cross, Elizabeth J. (author)
European Workshop on Structural Health Monitoring ; 2020
2021-01-09
12 pages
Article/Chapter (Book)
Electronic Resource
English
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