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Intelligent Construction in Tunnels / by Limao Zhang, Yue Pan, Penghui Lin, Mirosław J. Skibniewski.

Springer eBooks EBA - Engineering Collection 2025 Available online

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Format:
Book
Author/Creator:
Zhang, Limao.
Contributor:
Pan, Yue.
Lin, Penghui.
Skibniewski, Mirosław J.
Series:
Lecture Notes in Civil Engineering, 2366-2565 ; 679
Language:
English
Subjects (All):
Underground construction.
Artificial intelligence.
Geotechnical engineering.
Underground Engineering and Tunnel Construction.
Artificial Intelligence.
Geotechnical Engineering and Applied Earth Sciences.
Local Subjects:
Underground Engineering and Tunnel Construction.
Artificial Intelligence.
Geotechnical Engineering and Applied Earth Sciences.
Physical Description:
1 online resource (512 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book highlights the latest technologies and applications of intelligent construction in the domain of tunneling works. Rapid urbanization has surged the rapid development of underground infrastructures in major metropolitans around the world over the past decades. The development of urban tunnel systems is a challenging task with high complexity in terms of design, construction, and maintenance. Recent advancements in information and communication technologies (ICTs) have driven vast transformations around the world with successful implementations in many domains of science. Under the concept of “industry 4.0”, there are many attempts at intelligent construction using the latest ICTs, where the major applications in urban system development mainly focus on building information modelling (BIM), Internet of Things (IoT), deep learning, and computer vision. A tremendous transformation has taken place in the past years with the emerging intelligent construction applications in urban tunnel development. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in tunnel development but also enhancing construction competitiveness globally.
Contents:
Introduction to intelligent construction
Intelligent Geological Environment Perceptions
Advance geological forecast
Geological feature characterization
Geological condition detection
Tunnel face reliability modeling
Intelligent TBM Operations
Construction equipment selection
TBM performance prediction
Advanced TBM attitude control
Synchronous excavation and segment assembly
TBM fault detection
Intelligent Proactive Decisions
Tunnel line alignment
Safety risk assessment.-Risk mitigation planning
Digital twin platform development
Conclusions and future directions.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9687-85-3
OCLC:
1531311151

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