Application of response surface-corrected finite element model and Bayesian neural networks to predict the dynamic response of forth road bridges under strong winds

With the rapid development of big data, the Internet of Things (IoT), and other technological advancements, digital twin (DT) technology is increasingly being applied to the field of bridge structural health monitoring. Achieving the precise implementation of DT relies significantly on a dual-drive...

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Bibliographic Details
Main Authors: Yan Liu, Liangliang Hu, Xiaolin Meng, Yan Bao, Craig Hancock
Format: Default Article
Published: 2024
Subjects:
Ecology
Analytical chemistry
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Environmental sciences
Environmental management
Distributed computing and systems software
Digital twin
Displacement prediction
Structural health monitoring
Large-span bridge structure
Strong winds
Online Access:https://hdl.handle.net/2134/26075812.v1
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https://hdl.handle.net/2134/26075812.v1

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