Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns

The ability to predict tunnel deformation holds great significance for ensuring the reliability, safety, and sustainability of tunnel structures. However, existing deformation prediction models often simplify or overlook the impact of spatial characteristics on deformation by treating it as a time s...

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Bibliographic Details
Main Authors: Junfeng Sun, Yong Fang, Hu Luo, Zhigang Yao, Long Xiang, Jianfeng Wang, Yubo Wang, Yifan Jiang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-02-01
Series:Underground Space
Subjects:
GAT-LSTM
Deep learning
Transfer learning
Tunnel deformation
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967424000813
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