Structural health monitoring and evaluation method for an immersed tunnel based on deep learning

Structural health monitoring and evaluation method for an immersed tunnel based on deep learning

Abstract The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomalies and the assurance of their long-term operational safety. This research examines sensor data to evaluate variations in critical parameters and their effects on structural integrity. It also...

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Bibliographic Details
Main Authors: Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Subsea immersed tunnels
Structural health evaluation
Deep learning algorithms
CRITIC method
Multi-source information fusion
Online Access:https://doi.org/10.1038/s41598-025-10643-5
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https://doi.org/10.1038/s41598-025-10643-5

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