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Prediction method of surface settlement of rectangular pipe jacking tunnel based on improved PSO-BP neural network

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成果类型:
期刊论文
作者:
Hu, Da;Hu, Yongjia;Yi, Shun;Liang, Xiaoqiang;Li, Yongsuo;...
通讯作者:
Hu, D
作者机构:
[Liang, Xiaoqiang; Yang, Xian; Hu, Da; Li, Yongsuo; Hu, D] Hunan City Univ, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
[Yi, Shun; Liang, Xiaoqiang; Yang, Xian; Hu, Da; Hu, Yongjia; Hu, D] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
[Hu, Da; Hu, D] Power China Zhongnan Engn Co Ltd, Hunan Prov Key Lab Key Technol Hydropower Dev, Changsha 410014, Peoples R China.
通讯机构:
[Hu, D ] H
Hunan City Univ, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
Power China Zhongnan Engn Co Ltd, Hunan Prov Key Lab Key Technol Hydropower Dev, Changsha 410014, Peoples R China.
语种:
英文
期刊:
Scientific Reports
ISSN:
2045-2322
年:
2023
卷:
13
期:
1
页码:
5512
基金类别:
The authors would like to acknowledge the financial support provided by the National Natural Science Foundation of China (Grant No. 51678226), the Natural Science Foundation of Hunan Province (Grant Nos. 2021JJ50147; Grant Nos. 2021JJ30078), the Science and Technology Innovation Project of Yiyang City (Grant Nos. 2019YR02; Grant Nos. 2020YR02), and the Open Research Foundation of Hunan Provincial Key Laboratory of Key Technology on Hydropower Development (Grant No. PKLHD202005).
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:
To provide theoretical support for the safety control of rectangular pipe jacking tunnels crossing an existing expressway, a method for predicting the surface settlement of a rectangular pipe jacking tunnel is proposed in this study. Therefore, based on the high approximation of the BP neural network to any function under the multiparameter input, the PSO-BP mixed prediction model of the ground subsidence of the ultrashallow buried large section rectangular pipe jacking tunnel is established by taking into account the adaptive mutation method, adopting the improved particle swarm optimization ...

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