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Failure Characteristics of Deep Rocks, Volume II
Topic Information
Dear Colleagues,
In recent decades, the design and construction of geotechnical engineering, such as mines, tunnels, hydropower stations and nuclear waste repositories, have been surging in scale, and this trend is expected to continue in the future. These large-scale engineering projects are closely related to geomaterials (such as rock and soil) and geomechanics. When rock engineering enters increasingly deep exploitations, two critical scientific problems pose a serious threat to people's life and property, the construction efficiency of projects and the ecological environment. For one thing, geological disasters, including rockburst, landslide and slabbing, frequently occur during the construction and operation of rock projects as the geostress becomes higher. Scientists aim to prevent the instability and breakage of surrounding rock. Meanwhile, researchers and workers seek to break hard rock efficiently in the excavation process. Therefore, the investigation and better understanding of the mechanical and fracture behavior of deep rocks is of key importance to the scientific design and safe operation of deep rock engineering. This Topic is dedicated as a specific platform for all geomechanics research. This Topical Section can serve as the missing link between applied and fundamental research journals. Therefore, “Failure Characteristics of Deep Rock” is dedicated to, and thus welcomes, all geo-based scientific research in order to deepen the understanding of deep geohazards. Authors are therefore invited to submit their relevant research contributions to this Topic.
Prof. Dr. Diyuan Li
Dr. Zhenyu Han
Dr. Xin Cai
Topic Editors
Keywords
- rock mechanics
- tunnelling
- geological and geotechnical engineering
- fracture/damage mechanics
- mining
- mechanical properties
- observing methods (such as DIC, CT, etc.)
- geohazards
- stress and deformation
- constitutive relations
- engineering applications
- rock-breaking methods
- cracking process
- numerical simulation
- artificial intelligence
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Energies
|
3.2 | 5.5 | 2008 | 16.1 Days | CHF 2600 | Submit |
Geosciences
|
2.7 | 5.2 | 2011 | 23.6 Days | CHF 1800 | Submit |
Minerals
|
2.5 | 3.9 | 2011 | 18.7 Days | CHF 2400 | Submit |
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