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Deadline for Submissions: 7 June 2024 |
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Special Issue Editors |
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Guest Editor |
Dr. Bin Gong |
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Affiliation |
Department of Civil and Environmental Engineering, Brunel University London, UK |
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Interests |
Geotechnical Engineering; Landslide |
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Guest Editor |
Assoc. Prof. Xiangxin Liu |
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Affiliation |
School of Civil and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, China |
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Interests |
Acoustics and Acoustic Engineering; Acoustic Signal Processing; Wave Propagation |
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Guest Editor |
Dr. Xianhui Feng |
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Affiliation |
University of Science and Technology Beijing, China |
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Interests |
Combined dynamic and static; Circular-hole-containing shale; Failure process and mechanism; Anisotropic; Stress concentration |
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Special Issue Information |
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In geotechnical engineering, the mathematical problems arise when analysing and designing structures and systems involving soil and rock mechanics. Meanwhile, the mathematical equations are often used to describe the behavior of geomaterials, such as the stress-strain relationship, consolidation, and shear strength. Besides, the stability problems are encountered when evaluating the stability of slopes, retaining walls, foundations, and excavations, which usually require the application of mathematical methods like limit equilibrium analysis, finite element method, discrete element method, etc. Additionally, probability and statistics play a vital role in assessing the reliability and risk associated with geotechnical designs. The mathematical tools such as probabilistic methods, reliability analysis, and statistical models can be employed to quantify uncertainty and make informed decision. This Special Issue aims to gather cutting-edge research and recent advances of the mathematical methods and models in geomechanics and geotechnical engineering. The focal points include, but are not limited to: · Constitutive models of geomaterials including unsaturated soil, granular, jointed rock mass, etc. · Advanced numerical tools for modelling the mechanical response of rocks or soils. · Mathematical or numerical models for estimating the stability of slopes and tunnels. · Numerical techniques for clarifying the mechanisms of natural hazards. · Image processing and machine learning for material characterization and fracture analysis. · Deep learning and decision making for geotechnical processes. · Application of artificial intelligence and big data in disaster prevention and mitigation.
Keywords: Constitutive relationship; Numerical simulation; Artificial intelligence; Machine learning; Big data; Landslides; Rock bursts; Tunnelling; Mining |
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Published Papers |
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This special issue is now open for submission. |
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