Harsh environments are external conditions that present a heightened or unusual challenge to geotechnical engineering construction, geo-infrastructure operation, and geological disaster prevention. In the context that the construction and excavation activities of geotechnical engineering projects get deeper into the ground and cover a longer geometric scale, relevant geohazard monitoring, numerical simulation, and stability evaluation under harsh environments are becoming increasingly essential, since extreme temperature, pressure, pH, salinity, altitude, and other factors bring great difficulties to these works. Yet some progress has been made in the field of geohazard monitoring, modeling, and assessment in harsh environments, especially for the applications of innovative technologies (e.g., artificial intelligence) that provide critical theoretical and technical support to ensure the safety of geotechnical design, construction, and maintenance.
This Research Topic aims to gather a collection of Original Research and Review articles that address latest advances in geohazard monitoring, modeling, and assessment technologies for harsh environments as well as their key applications in ensuring the safety of geotechnical infrastructures. In the past decade, the applications of fiber optic sensors, MEMS, and unmanned aerial vehicles (UAVs) to geohazard monitoring has increased rapidly. Combined with efficient numerical analyzing techniques, such as discrete element method and material point method, they have been employed to facilitate safe construction and proper maintenance of foundations, slopes, tunnels, pipelines, and embankments in geohazard prone areas. Artificial neural network, support vector machine, Bayesian methods, reliability theory, and other analysis tools also provide important means to improve the level of georisk assessment and management.
Potential themes include, but are not limited to:
• Geological hazard monitoring for construction, operation, and maintenance of ultralong linear engineering
• Geohazard monitoring for engineering construction in densely populated areas
• Geohazard monitoring and modeling in cold regions and high-altitude areas
• Geohazard monitoring and modeling in tropical areas
• Geohazard monitoring and modeling in arid areas
• Geohazard monitoring and modeling in wetlands
• Georisk assessment and management in deep-sea energy exploitation and ocean engineering
• Georisk assessment and management in ultra-deep excavation and tunnel construction
Harsh environments are external conditions that present a heightened or unusual challenge to geotechnical engineering construction, geo-infrastructure operation, and geological disaster prevention. In the context that the construction and excavation activities of geotechnical engineering projects get deeper into the ground and cover a longer geometric scale, relevant geohazard monitoring, numerical simulation, and stability evaluation under harsh environments are becoming increasingly essential, since extreme temperature, pressure, pH, salinity, altitude, and other factors bring great difficulties to these works. Yet some progress has been made in the field of geohazard monitoring, modeling, and assessment in harsh environments, especially for the applications of innovative technologies (e.g., artificial intelligence) that provide critical theoretical and technical support to ensure the safety of geotechnical design, construction, and maintenance.
This Research Topic aims to gather a collection of Original Research and Review articles that address latest advances in geohazard monitoring, modeling, and assessment technologies for harsh environments as well as their key applications in ensuring the safety of geotechnical infrastructures. In the past decade, the applications of fiber optic sensors, MEMS, and unmanned aerial vehicles (UAVs) to geohazard monitoring has increased rapidly. Combined with efficient numerical analyzing techniques, such as discrete element method and material point method, they have been employed to facilitate safe construction and proper maintenance of foundations, slopes, tunnels, pipelines, and embankments in geohazard prone areas. Artificial neural network, support vector machine, Bayesian methods, reliability theory, and other analysis tools also provide important means to improve the level of georisk assessment and management.
Potential themes include, but are not limited to:
• Geological hazard monitoring for construction, operation, and maintenance of ultralong linear engineering
• Geohazard monitoring for engineering construction in densely populated areas
• Geohazard monitoring and modeling in cold regions and high-altitude areas
• Geohazard monitoring and modeling in tropical areas
• Geohazard monitoring and modeling in arid areas
• Geohazard monitoring and modeling in wetlands
• Georisk assessment and management in deep-sea energy exploitation and ocean engineering
• Georisk assessment and management in ultra-deep excavation and tunnel construction