Bayesian Finite Element Model Updating and Assessment of Cable-Stayed Bridges Using Wireless Sensor Data

We focus on a Bayesian inference framework for finite element (FE) model updating of a long-span cable-stayed bridge using long-term monitoring data collected from a wireless sensor network (WSN). A robust Bayesian inference method is proposed which marginalizes the prediction-error precisions and a...

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Detalles Bibliográficos
Autores principales: Asadollahi, Parisa, Huang, Yong, Li, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164055/
https://www.ncbi.nlm.nih.gov/pubmed/30213096
http://dx.doi.org/10.3390/s18093057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164055/
https://www.ncbi.nlm.nih.gov/pubmed/30213096
http://dx.doi.org/10.3390/s18093057

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