Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Herausgeber:in) / Milazzo, Alberto (Herausgeber:in) / Zhang, Sikai (Autor:in) / Rogers, Timothy J. (Autor:in) / Cross, Elizabeth J. (Autor:in)
European Workshop on Structural Health Monitoring ; 2020
09.01.2021
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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