Prediction of super-large diameter shield attitude based on LSTM-Transformer

Prediction of super-large diameter shield attitude based on LSTM-Transformer

Abstract Accurate control of shield tunneling attitude is a critical technology for ensuring construction safety and tunnel quality. With the rapid development of urban underground space, the construction of ultra-large-diameter shield tunnels has become increasingly common. However, the high precis...

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Bibliographic Details
Main Authors: Linfabao Dai, Wenming Chen, Mingqing Xiao, Wenhao Sun, Zhengzheng Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Shield tunnel
Shield attitude
AI algorithms
LSTM-Transformer model
Prediction
Online Access:https://doi.org/10.1038/s41598-025-98428-8
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https://doi.org/10.1038/s41598-025-98428-8

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