Deep Rock Engineering Disasters and Interactions between Soil, Rock, and Groundwater
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 2612
Special Issue Editors
Interests: rock engineering; disaster mechanism; micro-seismic monitoring; geomechanics; rock burst; data analysis
Special Issue Information
Dear Colleagues,
The disaster monitoring of rock engineering plays a key part in the construction of major projects, especially for the deep rock mass in the tunnel of hydroelectric engineering and railway construction. The problem of safe construction and disaster monitoring deeply influences project progress, efficiency, and operation cost. This problem may be affected by many aspects, but the interactions between soil, rock, and groundwater are a vital part of the precipitating factors for disaster. The monitoring and analysis by the use of different methods or devices often focus on interactions and fractures, such as micro-seismic monitoring, ultrasonic investigation, and borehole cameras. All these monitoring and analysis methods could provide a way to solve the disaster monitoring problem and promote technical development.
This Special Issue is open to papers addressing the monitoring and analysis of engineering disasters, especially for interaction problems between soil, rock, and groundwater during the construction of deep geotechnical engineering and geomechanics. We aim to publish contributions on novel disaster monitoring and analysis methods, including new constitutive schemes, particularly the advanced monitoring approaches of micro-seismic monitoring, ultrasonic investigation, and borehole cameras. Practical applications of these advanced approaches to real disaster monitoring problems are particularly welcome.
Prof. Dr. Bingrui Chen
Dr. Xianjian Zou
Guest Editors
Manuscript Submission Information
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Keywords
- rock engineering
- geomechanics
- disaster monitoring
- data analysis
- image processing
