A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM

A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM

Abstract Early warning of existing bridges is now predominated by deterministic methods. However, these methods face challenges in expressing uncertain factors (such as wind load, temperature load, and other variables, etc.). These problems directly impact the timeliness and accuracy of bridge early...

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Bibliographic Details
Main Authors: Shuangjiang Li, Jingzhou Xin, Yan Jiang, Changxi Yang, Xiaochen Wang, Bingchuan Ran
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Advances in Bridge Engineering
Subjects:
Bridge
Structural health monitoring
Probabilistic method
Dynamic early warning
Uncertain factors
Online Access:https://doi.org/10.1186/s43251-024-00119-3

Internet

https://doi.org/10.1186/s43251-024-00119-3

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