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Settlement Laws and Prediction Models for Shield Tunneling beneath Old Buildings: Taking Tianjin Metro Line 7 as an Example of Undercrossing Nanmenli Sub-branch
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Ji-wen ZHANG1, 2, Ze-qi ZHU2, 3, *, Tuo JIANG4, Yang ZHOU2
Science Technology and Engineering | 2025, 25(20) : 8552 - 8559
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Science Technology and Engineering | 2025, 25(20): 8552-8559
• Papers·Automation and Computational Technology •
Settlement Laws and Prediction Models for Shield Tunneling beneath Old Buildings: Taking Tianjin Metro Line 7 as an Example of Undercrossing Nanmenli Sub-branch
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Ji-wen ZHANG1, 2, Ze-qi ZHU2, 3, *, Tuo JIANG4, Yang ZHOU2
Affiliations
  • 1 School of Architecture and Architecture, Anhui University of Science and Technology, Huainan 232001, China
  • 2 The Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430064, China
  • 3 National and Local Joint Engineering Research Center for Underwater Tunnel Technology, Wuhan 430071, China
  • 4 China Construction Third Bureau Infrastructure Construction Investment Co., Ltd., Tianjin 300101, China
Published: 2025-07-18 doi: 10.12404/j.issn.1671-1815.2404591
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Shield tunnel construction impacts old buildings in urban areas. Extensive building deformation data was collected for Tianjin Metro Line 7’s shield tunnel passing beneath old buildings using automated measurement robots. Machine learning algorithms were applied to analyze the correlation between building instantaneous settlement and shield construction parameters such as average velocity, thrust, grouting volume, shield distance, and grouting pressure. A predictive model for building settlement was established. The results show that old buildings within -50~70 m are affected by shield construction. Differential settlement is significant, with noticeable differences on various facades. Grouting volume, thrust, and average velocity positively correlate with instantaneous settlement, with shield distance having the greatest impact. Reasonable construction parameters ensure building settlement and deformation remain within acceptable limits. The machine learning-based predictive model closely aligns with actual settlement curves, demonstrating robust predictive capabilities. This provides valuable insights for predicting and controlling surface settlement in future shield tunnel projects.

shield tunnel  /  automatic monitoring  /  building settlement  /  construction parameters  /  machine learning
Ji-wen ZHANG, Ze-qi ZHU, Tuo JIANG, Yang ZHOU. Settlement Laws and Prediction Models for Shield Tunneling beneath Old Buildings: Taking Tianjin Metro Line 7 as an Example of Undercrossing Nanmenli Sub-branch[J]. Science Technology and Engineering, 2025 , 25 (20) : 8552 -8559 . DOI: 10.12404/j.issn.1671-1815.2404591
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Year 2025 volume 25 Issue 20
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doi: 10.12404/j.issn.1671-1815.2404591
  • Receive Date：2024-06-19
  • Online Date：2026-05-13
  • Published：2025-07-18
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History
  • Received：2024-06-19
  • Revised：2025-04-09
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Affiliations
    1 School of Architecture and Architecture, Anhui University of Science and Technology, Huainan 232001, China
    2 The Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430064, China
    3 National and Local Joint Engineering Research Center for Underwater Tunnel Technology, Wuhan 430071, China
    4 China Construction Third Bureau Infrastructure Construction Investment Co., Ltd., Tianjin 300101, China
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表12种不同金属材料的力学参数
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Number of
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Number of
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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
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