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The construction of shield tunneling close to risk sources in urban has been a commonly encountered problem in recent years. The establishment of the analytical model used to calculate the immediate settlement of existing structures has been a major focus in approaching construction issues. It is obvious that after shield construction, the settlement will inevitably continue to increase for a long period. In this study, a novel model applied to calculate the long-term settlement considering the influence of soil consolidation was proposed. Based on this proposed analysis model, combined with building information modeling (BIM), geographic information system (GIS), city information model (CIM), geoscience modeling (Geo Model), and internet of things (IoT), a three-dimensional (3D) intelligent management and control platform for shield tunneling construction close to major risk sources was developed and introduced. In this platform, the analysis model was embedded to calculate the long-term settlement, and the risk data were determined by comparing calculated results, monitoring results, and control standard value. The intelligent platform adopts the analytical method and computer technology to solve the problem of approaching construction, such as management of construction information, pre-warning, and control of construction risk, and it has been successfully applied in Beijing shield tunneling projects. This platform can also provide the pre-warning function and economic value for similar construction projects.


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Development and engineering application of intelligent management and control platform for the shield tunneling construction close to risk sources

Show Author's information Bo Liua,b( )Qian HanaChunqing FucGong ZhangcYanqing HeaWenhao Lia
School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Beijing Urban Construction Rail Transit Construction Engineering Co., Ltd., Beijing 100022, China

Abstract

The construction of shield tunneling close to risk sources in urban has been a commonly encountered problem in recent years. The establishment of the analytical model used to calculate the immediate settlement of existing structures has been a major focus in approaching construction issues. It is obvious that after shield construction, the settlement will inevitably continue to increase for a long period. In this study, a novel model applied to calculate the long-term settlement considering the influence of soil consolidation was proposed. Based on this proposed analysis model, combined with building information modeling (BIM), geographic information system (GIS), city information model (CIM), geoscience modeling (Geo Model), and internet of things (IoT), a three-dimensional (3D) intelligent management and control platform for shield tunneling construction close to major risk sources was developed and introduced. In this platform, the analysis model was embedded to calculate the long-term settlement, and the risk data were determined by comparing calculated results, monitoring results, and control standard value. The intelligent platform adopts the analytical method and computer technology to solve the problem of approaching construction, such as management of construction information, pre-warning, and control of construction risk, and it has been successfully applied in Beijing shield tunneling projects. This platform can also provide the pre-warning function and economic value for similar construction projects.

Keywords: analytical model, shield tunnel construction, approaching construction, long-term settlement, intelligent platform, risk sources

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Publication history

Received: 14 November 2023
Revised: 12 January 2024
Accepted: 31 January 2024
Published: 29 April 2024

Copyright

© The Author(s) 2024. Published by Tsinghua University Press.

Acknowledgements

This study is supported by the National Natural Science Foundation of China (Nos. 42172319 and 41771083), the Research Project of State-Owned Assets Supervision and Administration Commission of People’s Government of Beijing Municipality and the National Key Research and Development Program of the 13th Five-Year Plan of China (No. 2016YFC080250504). The authors sincerely thank the anonymous reviewers for their significant contribution to the improvement of this paper.

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