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MODERN TUNNELLING TECHNOLOGY 2022, Vol. 59 Issue (1) :14-28    DOI:
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Intelligent Construction of Shield Tunnels Based on Resilience Theory
(1.Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen 518060;2. School of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518060)
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Abstract Urban rail transit that is mainly based on shield tunnels has made rapid development during the period of the 13th Five-Year Plan, and shield tunnelling equipment has obtained fast progress in intelligent development.However, the tunnel structure design, structural element production and on-site segment assembly needs more innovations and breakthroughs in terms of intelligence. Faced with the strategic goal of building a resilient smart city, we also still have a series of problems needing urgent resolutions for shield tunnelling, such as limited knowledge and theory about the physical properties of new materials, the lack of target in the arrangement of sensors and poor monitoring perception, and the heavy reliance of tunnel segment assembly on manual labor, which produces large errors.The key to solving these problems lies in building an intelligent shield tunnel construction system based on the resilience theory. By using the resilience characteristics of materials and structures, and in combination with computer and other information technologies, a series of measures could be taken such as resilient design, intelligent percep? tion, intelligent production, and intelligent assembly, etc. to make the materials in tunnel structures intelligently perceivable, the structure accurately monitorable, the data twinned in real time, the information efficiently manageable,the production automatically manipulable, the process perceivable in ganzfeld, the model dynamically adjustable, and the segments intelligently assembled, thus finally achieving the goal of construction of shield tunnels in a resilient city
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KeywordsResilience   Shield tunnel   Intelligent production   Ganzfeld perception   Intelligent assembly     
Abstract: Urban rail transit that is mainly based on shield tunnels has made rapid development during the period of the 13th Five-Year Plan, and shield tunnelling equipment has obtained fast progress in intelligent development.However, the tunnel structure design, structural element production and on-site segment assembly needs more innovations and breakthroughs in terms of intelligence. Faced with the strategic goal of building a resilient smart city, we also still have a series of problems needing urgent resolutions for shield tunnelling, such as limited knowledge and theory about the physical properties of new materials, the lack of target in the arrangement of sensors and poor monitoring perception, and the heavy reliance of tunnel segment assembly on manual labor, which produces large errors.The key to solving these problems lies in building an intelligent shield tunnel construction system based on the resilience theory. By using the resilience characteristics of materials and structures, and in combination with computer and other information technologies, a series of measures could be taken such as resilient design, intelligent percep? tion, intelligent production, and intelligent assembly, etc. to make the materials in tunnel structures intelligently perceivable, the structure accurately monitorable, the data twinned in real time, the information efficiently manageable,the production automatically manipulable, the process perceivable in ganzfeld, the model dynamically adjustable, and the segments intelligently assembled, thus finally achieving the goal of construction of shield tunnels in a resilient city
KeywordsResilience,   Shield tunnel,   Intelligent production,   Ganzfeld perception,   Intelligent assembly     
Received: 2021-12-21;
Cite this article:   
.Intelligent Construction of Shield Tunnels Based on Resilience Theory[J]  MODERN TUNNELLING TECHNOLOGY, 2022,V59(1): 14-28
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http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2022/V59/I1/14
 
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