A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

The deflection control of the main girder in suspension bridges, as flexible structures, is critically important during their operation. To predict the vertical deflection of existing suspension bridge girders under the combined effects of stochastic traffic loads and environmental temperature, this...

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Bibliographic Details
Main Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
bridge deflection
probability neural network
structural health monitoring
interval prediction
suspension bridge
gaussian distribution
Online Access:https://www.mdpi.com/1424-8220/24/21/6863
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