Research articles
Artificial intelligence technology in rock mechanics and rock engineering
Xia-Ting Feng*, Cheng-Xiang Yang, Ben-Guo He, Zhi-Bin Yao, Lei Hu, Wei Zhang, Rui Kong, Jun Zhao, Zao-Bao Liu, Xin Bi
Deep Resources Engineering. 2024, 1(2): 100008. 
doi.org10.1016j.deepre.2024.100008.pdf
Brief Introduction: This paper proposes and demonstrates a comprehensive AI-driven metaverse framework for rock mechanics and engineering, integrating intelligent 3D geological characterization, geostress inversion, rock-behavior modeling, disaster monitoring/early-warning, design optimisation, and adaptive construction, validated by two world-record deep projects.
本文提出并论证了一种人工智能驱动的岩石力学与工程全维度元宇宙框架，该框架集成了智能三维地质表征、地应力反演、岩石行为建模、灾害监测预警、设计优化与自适应施工等关键技术，已通过两项世界级深部工程案例验证。
Keywords: Rock mechanics and rock engineering; Artificial intelligence; Metaverse; Data and knowledge-driven; Intelligent construction
Cite: Feng, X.-T.; Yang, C.-X.; He, B.-G.; Yao, Z.-B.; Hu, L.; Zhang, W.; Kong, R.; Zhao, J.; Liu, Z.-B.; Bi, X., Artificial intelligence technology in rock mechanics and rock engineering. Deep Resources Engineering 2024, 1 (2): 100008. https://doi.org/10.1016/j.deepre.2024.100008
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Rock engineering evaluation of existing and planned Salang Tunnels with high overburden through Hindukush Mountains, Afghanistan
N. Malistani*, Ö. Aydan
Deep Resources Engineering. 2024, 1(2): 100007. doi.org10.1016j.deepre.2024.100007.pdf
Brief Introduction: This paper presents a comprehensive rock engineering evaluation of both the existing and planned Salang Tunnels in Afghanistan, focusing on geological conditions, seismic activity, in-situ stress, rock mass properties, stability analyses, and support system design under high overburden conditions.
本文对阿富汗现有和规划的萨朗隧道进行了全面的岩石工程评估，重点关注地质条件、地震活动、地应力、岩体性质、稳定性分析和高覆盖层条件下的支护系统设计。
Keywords: Salang Tunnels; Stability; Rock mass classification systems; Numerical analyses; Seismicity; Squeezing; Ground support
Cite: Malistani, N.; Aydan, Ö., Rock engineering evaluation of existing and planned Salang Tunnels with high overburden through Hindukush Mountains, Afghanistan. Deep Resources Engineering 2024, 1 (2): 100007. https://doi.org/10.1016/j.deepre.2024.100007
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Rockburst risk control and mitigation in deep mining
Ming Cai*
Deep Resources Engineering. 2024, 1(2): 100019. doi.org10.1016j.deepre.2024.100019.pdf
Brief Introduction: This paper presents a comprehensive, systematic study of rockburst risk in deep underground mining, examining influencing factors, risk assessment, and diverse control and mitigation strategies to ensure safety and operational efficiency.
本文对深部地下开采岩爆风险进行了全面、系统的研究，探讨了影响因素、风险评估以及各种控制和缓解策略，以确保地下采矿的安全和运行效率。
Keywords: Rockburst risk; Rockburst hazard; Excavation vulnerability; Exposure; Rock support; Risk control; Risk mitigation
Cite: Cai, M., Rockburst risk control and mitigation in deep mining. Deep Resources Engineering 2024, 1 (2): 100019. https://doi.org/10.1016/j.deepre.2024.100019
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A three-dimensional numerical study on the stability of layered rock spillway tunnels in alpine canyon areas
Peng-Zhi Pan*, Fuyuan Tan, Fengqiong Li, Fudong Chi, Xufeng Liu, Zhaofeng Wang
Deep Resources Engineering. 2024,1(2): 100023. doi.org10.1016j.deepre.2024.100023.pdf
Brief Introduction: This paper presents a 3D numerical investigation of layered rock spillway tunnel stability in alpine canyons by integrating anisotropic failure theory, in-situ stress inversion and CASRock simulations.
本文采用各向异性破坏理论、地应力反演和CASRock模拟相结合的方法，对高山峡谷层状岩体泄洪洞稳定性进行了三维数值研究。
Keywords: Alpine canyon areas; In-situ stress inversion; Layered rock mass; Stability characteristics of surrounding rock; Numerical simulation
Cite: Pan, P.-Z.; Tan, F.Y.; Li, F.Q.; Chi, F.D.; Liu, X.F.; Wang, Z.F., A three-dimensional numerical study on the stability of layered rock spillway tunnels in alpine canyon areas. Deep Resources Engineering 2024, 1 (2): 100023. https://doi.org/10.1016/j.deepre.2024.100023
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Review articles
Advances in dynamic test of deep rocks considering in-situ mechanical and hydraulic conditions
Kaiwen Xia*, Minlei Wang, Yan Fu, Bangbiao Wu, Ying Xu, Wei Yao*
Deep Resources Engineering. 2024, 1(2): 100020. doi.org10.1016j.deepre.2024.100020.pdf
Brief Introduction: This paper systematically reviews recent advances in dynamic testing of deep rocks under realistic in-situ stress and hydraulic conditions using modified split Hopkinson pressure bar (SHPB) systems, summarizing new apparatuses, methodologies, and experimental results on the dynamic compressive, tensile, flexural, shear, and fracture behaviors of rocks subjected to triaxial confinement and coupled hydraulic-mechanical loading.
本文系统回顾了在真实地应力和水力条件下使用改进的劈裂霍普金森压杆（SHPB）系统进行深部岩石动态测试的最新进展，总结了三轴约束和水-力耦合加载下岩石动态压缩、拉伸、弯曲、剪切和破裂行为的新仪器、新方法和实验结果。
Keywords: Deep rock dynamics; Triaxial confinement; Hydraulic-mechanical coupling; Dynamic strength; Dynamic fracture toughness
Cite: Xia, K.W.; Wang, M.L.; Fu, Y.; Wu, B.B.; Xu, Y.; Yao, W., Advances in dynamic test of deep rocks considering in-situ mechanical and hydraulic conditions. Deep Resources Engineering 2024, 1 (2): 100020. https://doi.org/10.1016/j.deepre.2024.100020
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Metaheuristic algorithms for groundwater model parameter inversion: Advances and prospects
Junjun Chen, Zhenxue Dai*
Deep Resources Engineering. 2024, 1(2): 100009. doi.org10.1016j.deepre.2024.100009.pdf
Brief Introduction: This paper reviews the application and advances of metaheuristic algorithms—such as genetic algorithm, particle swarm optimization, differential evolution, and simulated annealing—in groundwater model parameter inversion, and discusses future research directions.
本文综述了遗传算法、粒子群优化算法、差分进化算法、模拟退火算法等元启发式算法在地下水模型参数反演中的应用与进展，并对未来的研究方向进行了展望。
Keywords: Groundwater; Inverse modeling; Metaheuristic algorithms; Genetic algorithm; Particle swarm optimization; Simulated annealing; Differential evolution
Cite: Chen, J.J.; Dai, Z.X., Metaheuristic algorithms for groundwater model parameter inversion: Advances and prospects. Deep Resources Engineering 2024, 1 (2): 100009. https://doi.org/10.1016/j.deepre.2024.100009
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