Advanced Analysis, Early-Warning and Control Method for Rock Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 3114
Special Issue Editors
Interests: rock-support interaction; rock deformation prediction; rock mechanics; rock bolt behavior; large deformation
Interests: rock mechanics; jointed rock mass; 3D printing; discontinuities mapping; rock failure
Interests: triaxial hopkinson bar techniques; high-speed three-dimensional digital image correlation (3D-DIC); confinement and rate dependent behaviours of solid materials; dynamic fracturing behaviours of geomaterials under multi-axial loadings; micro-structural characterization and failure micro-mechanisms
Special Issue Information
Dear Colleagues,
Most rock engineering disasters (such as rock burst, water inrush, coal and gas outburst, large deformation, landslide, etc.) induced by external disturbance in mining engineering, transportation engineering, and civil engineering are closely related to rock instability and failure, which motivates people to understand rock behaviors and fundamental disaster-related mechanisms, and to develop a variety of methods for the analysis, early-warning detection, and prevention of potential disasters.
In recent years, more sophisticated and practical advancements for rock engineering have been achieved to reproduce the disaster-related failure process, which provides new tools and technologies for developing early-warning, safe, feasible, and economical prevention strategies. This Special Issue welcomes research papers aiming to rock engineering and to share knowledge and advances related to this topic. Original research and review articles on theoretical analysis, numerical simulation, laboratory testing, and case studies are encouraged.
Dr. Kai Guan
Dr. Peitao Wang
Dr. Kai Liu
Guest Editors
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Keywords
- geological and mechanical characterization of rock mass
- experimental, theoretical, and numerical simulation methods of rock mechanics
- engineering rock mass testing and on-site monitoring
- prediction, early-warning detection, and prevention of rock disaster non-linear continuum mechanics
- artificial intelligence
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