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

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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Bibliographic Details
Main Authors: Parisa Asadollahi, Yong Huang, Jian Li
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
Bayesian model updating
Bayesian model class assessment
Transitional Markov Chain Monte Carlo
cable-stayed bridge
prediction-error precision
structural health monitoring
wireless sensor network
Online Access:http://www.mdpi.com/1424-8220/18/9/3057

Internet

http://www.mdpi.com/1424-8220/18/9/3057

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