Data-Driven Method for Predicting Long-Term Underground Pipeline Settlement Induced by Rectangular Pipe Jacking Tunnel Construction

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成果类型：

期刊论文

作者：

Yongsuo Li;Xiaoxuan Weng;Da Hu*;Ze Tan;Jing Liu

通讯作者：

Da Hu

作者机构：

[Yongsuo Li; Da Hu] Professor, Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

Professor, School of Civil Engineering, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

[Xiaoxuan Weng; Ze Tan; Jing Liu] Master’s Student, School of Civil Engineering, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

[Yongsuo Li] Professor, School of Civil Engineering, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

[Da Hu] Professor, School of Civil Engineering, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

通讯机构：

[Da Hu] P

Professor, Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

Professor, School of Civil Engineering, Hunan City Univ., No. 518, Yingbin East Rd., Yiyang 413000, China

语种：

英文

关键词：

Prediction of pipeline settlement;Deep learning;Long short-term memory network;Multiscale self-attention mechanism;Time-decay mechanism

期刊：

Journal of Pipeline Systems Engineering and Practice

ISSN：

1949-1190

年：

2025

卷：

期：

页码：

04025046

DOI：

PSENG-1855

机构署名：

本校为第一且通讯机构

院系归属：

土木工程学院

摘要：

The long-term settlement of deep pipelines is a crucial factor in the construction of rectangular shield tunnels. Conventional prediction techniques primarily depend on empirical models and statistical analyses, which often fail to accurately forecast pipeline deformation and settlement in intricate environments. To tackle this challenge, this article introduces a long-term settlement prediction model for pipelines based on long short-term memory (LSTM) networks, incorporating time decay and multiscale improved self-attention mechanisms (ISA), ...

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Data-Driven Method for Predicting Long-Term Underground Pipeline Settlement Induced by Rectangular Pipe Jacking Tunnel Construction

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