Experiments, Design and Practice Innovations in Geotechnical Engineering and Underground Space

Dear Colleagues,

With the rapid development of the global economy and of industry, the acceleration of urbanization, and the deepening of underground space utilization for exploration, design, construction, and operation, more and more requirements have been put forward for the safety and reliability of geotechnical engineering and underground spaces. By focusing on the theory and practice of and management innovations in geotechnical and underground engineering, this Special Issue aims to enrich the theory of rock and soil mechanics; to enhance the level of stability analysis in geotechnical engineering; to provide scientific support for underground space development, such as tunnels and in mineral resource exploitation; and to ultimately aid in the high-level development of large-scale civil engineering at home and abroad.

Topics include, but are not limited to:

• The engineering behaviour of soil, rock, and underground structures, i.e., mechanical properties, failure mechanisms, and the modelling of rock, soil, soil–structure interaction, and underground structures;
• Rock and soil dynamics, i.e., various kinds of dynamic and static characteristics analysis of underground engineering;
• The application of artificial intelligence in geotechnical engineering and underground spaces, i.e., innovative intelligence algorithms and machine learning methods for solving engineering problems and scientific issues;
• Environmental geotechnics, i.e., new reinforcement techniques for rock and soil, green, and low-carbon construction and design approaches, biogeotechnics, geoenvironmental performance, and the modelling of recycled waste, etc.
• Novel numerical analysis in solving major underground engineering, i.e., DEM, manifold method (MM), EFEM, etc.;
• Earthquake engineering in underground spaces, i.e., earthquake loading foundation design, seismic vibration control, the seismic response of underground structures, earthquake protection systems, etc.;
• Original theories, methods, techniques, and important applications in the whole life cycle of underground engineering, i.e., planning, design, operation and maintenance, disaster prevention, and demolition.
• Predictive maintenance using AI for infrastructure, i.e., data-driven analytics and Bayesian learning and deep learning for the analysis of urban infrastructure data;
• Advanced numerical analysis methods for internal erosion-induced geodisasters, i.e., dam piping, shallow sliding, sinkholes, sand production in oil wells, etc.;
• Experimental and numerical investigations on the static and dynamic properties of special soils, i.e., red beds, extraterrestrial lunar regolith, etc.;
• Mechanisms of the high mobility of shear granular flows, i.e., rock avalanches, debris flows, landslides, rock–ice avalanches, etc.

You may choose our Joint Special Issue in Applied Sciences.

Prof. Dr. Shuqian Duan
Dr. Jiayan Nie
Dr. Zhongkai Huang
Dr. Jiecheng Xiong
Guest Editors

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• dynamics
• safety and reliability
• environmental geotechnics
• artificial intelligence
• numerical analysis
• risk assessment and management in infrastructure
• uncertainty quantification in infrastructure systems
• internal erosion
• high mobility of rock avalanche
• special soil properties