Home Journals Articles Updates About
CN
image
收藏切换
Prediction of Ground Settlement and Optimization of Tunneling Parameters of Slurry Shield Based on Neural Network
收藏切换
PDF
Xu-dong REN1, 2, Feng-kai ZHANG1, 3, *, Wan-tao DING1, 2, Yu-ting LIU4, Tian-jing XU4
Science Technology and Engineering | 2025, 25(5) : 2090 - 2099
Less
收藏切换
Science Technology and Engineering | 2025, 25(5): 2090-2099
• Papers·Traffics and Transportations •
Prediction of Ground Settlement and Optimization of Tunneling Parameters of Slurry Shield Based on Neural Network
Full
Xu-dong REN1, 2, Feng-kai ZHANG1, 3, *, Wan-tao DING1, 2, Yu-ting LIU4, Tian-jing XU4
Affiliations
  • 1 Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China
  • 2 School of Qilu Transportation, Shandong University, Jinan 250061, China
  • 3 School of Civil Engineering, Shandong University, Jinan 250061, China
  • 4 Harbin Metro Group Co., Ltd., Harbin 150000, China
Published: 2025-02-18 doi: 10.12404/j.issn.1671-1815.2309787
Outline
收藏切换

In order to study the influence of slurry shield tunneling parameters on surface settlement, based on the slurry shield tunneling and monitoring data of the left line of the Hesong-Heshan stacked section of Harbin Metro Line 3 project, based on the BP neural network optimized by genetic algorithm, the different settlement output forms were studied. The tunnel distance label was introduced to optimize the neural network fitting effect, and the parameter sensitivity analysis was carried out according to this network model. Three most sensitive parameters were obtained, and exhaustive tests were carried out to further analyze the specific influence of parameters on surface settlement. The research shows that the surface settlement performance of slurry shield tunneling is not closely related to the tunneling parameters after passing through a certain ring for two days, and the surface settlement analysis can focus on the monitoring value of the day. Before, during and after the shield machine passes through a certain ring, it will have different effects on the surface settlement above the ring. Subsequent research on surface settlement based on neural network can be considered to include this index. Among the parameters of slurry shield tunneling, reducing slurry viscosity and increasing slurry specific gravity can control surface subsidence, and increasing propulsion speed can reduce the impact of construction on surface subsidence.

neural networks  /  slurry shield  /  surface subsidence  /  sensitivity analysis  /  parameters optimization
Xu-dong REN, Feng-kai ZHANG, Wan-tao DING, Yu-ting LIU, Tian-jing XU. Prediction of Ground Settlement and Optimization of Tunneling Parameters of Slurry Shield Based on Neural Network[J]. Science Technology and Engineering, 2025 , 25 (5) : 2090 -2099 . DOI: 10.12404/j.issn.1671-1815.2309787
Appendix
Less
Year 2025 volume 25 Issue 5
PDF
273
106
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2309787
  • Receive Date：2023-12-12
  • Online Date：2025-07-29
  • Published：2025-02-18
Article Data
Affiliations
History
  • Received：2023-12-12
  • Revised：2024-11-18
Funding
Affiliations
    1 Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China
    2 School of Qilu Transportation, Shandong University, Jinan 250061, China
    3 School of Civil Engineering, Shandong University, Jinan 250061, China
    4 Harbin Metro Group Co., Ltd., Harbin 150000, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2309787
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House