Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 55790
Special Issue Editors
Interests: rock mechanics; geomechanics; geomaterials
Special Issues, Collections and Topics in MDPI journals
Interests: rock mechanics; rock dynamics; fracture; rock-water Interaction
Special Issues, Collections and Topics in MDPI journals
Interests: rock mechanics; mining; tunneling; supervised learning; machine learning; metaheuristic algorithms; predictive modeling; rockburst; blasting
Special Issues, Collections and Topics in MDPI journals
Interests: geotechnical engineering; mining engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing requirements for energy, resources and space, numerous rock engineering projects (e.g., mining, tunnelling, underground storage, geothermal and petroleum engineering) are more often being constructed and operated in large-scale, deep underground and complex geology environments. Meanwhile, more and more unconventional rock failures and rock instabilities (e.g., rockbursts, large-scale collapse and mine earthquake) occur and severely threaten the safety of underground operation. It is well recognized that rock has multi-scale structures from minerals, particles, fractures, fissures, joints, and stratification to fault, and involves multi-scale fracture processes. In deep earth, rocks are commonly subjected to complex high stress and strong dynamic disturbance simultaneously, providing a hotbed for the occurrence of unconventional rock failures. In addition, there are many multi-physics coupling processes in rock mass, such as the coupled thermo-hydromechanical interaction in fractured porous rocks. It is still difficult to understand the rock mechanics and characterize the rock behavior with complex stress conditions, multi-physics processes, and multi-scale changes. Therefore, the prevention and control of unconventional instability in deep rock engineering remains a great challenge.
The primary aim of this Special Issue is to bring together original research discussing innovative efforts on analytical, numerical, and big-data-based methods in rock mechanics. Submissions showcasing the latest developments in theoretical analysis, numerical modeling, and big-data-driven calculation are welcome.
Dr. Shaofeng Wang
Dr. Xin Cai
Dr. Jian Zhou
Dr. Zhengyang Song
Dr. Xiaofeng Li
Guest Editors
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Keywords
- analytical methods
- numerical methods
- stochastic methods
- big-data-based methods
- deep rock mechanics
- multi-physics processes
- multi-scale fracturing
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