New Trends in Numerical Methods in Rock Mechanics
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geomechanics".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 24
Special Issue Editors
Interests: intelligent rock mechanics; smart drill string dynamics; AI for oil and gas; reservoir geomechanics
Interests: deep rock mechanics and engineering; deep rock mass seepage mechanics; experimental rock mechanics; deep in situ observations and coupled information interpretation
Interests: hydraulic fracturing mechanisms of geothermal reservoirs; shale gas; tight oil and gas reservoirs; rock mechanics; efficient finite element numerical computation methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The focus of this Special Issue, “New Trends in Numerical Methods in Rock Mechanics”, is to highlight the latest advancements in numerical approaches for rock mechanics applications and in computational techniques, including modeling, simulation, and optimization methods. It seeks to examine their application to various real-world problems in geotechnical engineering, petroleum reservoirs, and mining. We welcome contributions that discuss innovative methods for improving the accuracy, efficiency, and applicability of numerical simulations in rock mechanics. This Special Issue aims to promote both theoretical advancements and practical implementations of numerical methods, particularly emphasizing the integration of new technologies, such as machine learning and AI, in rock mechanics research. Researchers are invited to submit original papers that explore these evolving areas, advancing both the understanding of and practical tools available for rock mechanics professionals. By featuring innovative research, this Special Issue hopes to foster the development of new insights and methodologies in this field.
Prof. Dr. Xiangchao Shi
Dr. Zetian Zhang
Dr. Daobing Wang
Guest Editors
Manuscript Submission Information
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Keywords
- numerical methods
- rock mechanics
- computational techniques
- geotechnical engineering
- petroleum reservoirs
- simulation and modeling
- artificial intelligence
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