Green and Intelligent Construction Technologies and Equipment for Deeply Buried Tunnels Under Complex Geological Conditions
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 1661
Editor
Interests: geotechnical engineering; pipe jacking; slope; tunnel; fiber-reinforced concrete; underground space; hydraulic engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Underground space utilization is continuously expanding, which has accelerated the need for green and intelligent construction technologies capable of addressing the unique challenges of deeply buried tunnels with complex geological conditions. These tunnels often face extreme stress environments, high geothermal gradients, and variable geological formations, which complicate construction safety, cost control, and sustainability. In recent years, the convergence of intelligent sensing, automation, and green construction concepts has profoundly transformed tunnel engineering. Digital twin technologies, AI-assisted decision-making, and IoT-based monitoring systems now enable predictive control, adaptive optimization, and data-driven management across all stages of construction. Simultaneously, sustainable engineering principles—emphasizing energy efficiency, environmental protection, and low-carbon materials—are redefining the way underground infrastructure is designed and built.
This Special Issue aims to highlight the latest advances and applications of green and intelligent construction technologies and equipment for deeply buried tunnels with complex geological conditions. We welcome original research articles, reviews, and case studies that contribute to safer, smarter, and more sustainable tunneling through innovation in design, materials, equipment, and management.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
(1) Intelligent tunneling systems for deeply buried tunnels under complex geological conditions.
(2) Digital twin and real-time monitoring technologies in tunnel construction and operation.
(3) AI-based geological hazard prediction and intelligent decision-making.
(4) Intelligent drilling and blasting technology for precision excavation and safety control.
(5) Testing and characterization of rock physical–mechanical properties under complex stress conditions.
(6) Intelligent ventilation systems for deep and long tunnels.
(7) Intelligent lining and adaptive support technologies for tunnel stability.
(8) Surrounding rock recognition and classification based on sensor fusion and machine learning.
(9) BIM- and IoT-integrated platforms for intelligent construction management.
(10) Green construction materials and resource recycling for sustainable tunnel engineering.
(11) Energy-efficient, low-carbon construction methods and life cycle assessment in tunneling.
(12) Machine learning and numerical modeling for stability analysis and risk control.
We look forward to receiving your valuable contributions and advancing the frontier of intelligent and sustainable tunnel construction together.
Dr. Zhiyun Deng
Guest Editor
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Keywords
- green construction
- intelligent tunneling
- complex geological conditions
- intelligent drilling and blasting
- digital twin
- rock mechanics
- intelligent ventilation
- intelligent lining
- sustainable engineering
- low-carbon construction
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