Research articles
Practice and validation of inversion of seismic source localisation based on genetic algorithm
Quan Zhang, Junpeng Zou*, Yu-Yong Jiao, Jiapeng Gao
Deep Resources Engineering. 2025, 2(1): 100164. 
doi.org10.1016j.deepre.2024.100164.pdf
Brief Introduction: This paper presents a method for accurately locating mine earthquake sources using a genetic algorithm combined with noise reduction and phase recognition techniques, validated with real data showing errors under 5%.
本文提出了一种结合降噪和相位识别技术的遗传算法对矿井震源进行精确定位的方法，并用实际数据进行了验证，误差小于5%。
Keywords: Mine earthquake; Epicenter localization; Fast Fourier Transform-Butterworth joint noise reduction method; Rolling window ratio
Cite: Zhang, Q.; Zou, J.P.; Jiao, Y.-Y.; Gao, J.P., Practice and validation of inversion of seismic source localisation based on genetic algorithm. Deep Resources Engineering 2025, 2 (1): 100164. https://doi.org/10.1016/j.deepre.2024.100164
Role of feature importance in geomechanical classification of rock slopes
Ashutosh Kainthola, Vishnu Himanshu Ratnam Pandey*, Gaurav Kushwaha, Vikas Yadav
Deep Resources Engineering. 2025, 2(1): 100165. doi.org10.1016j.deepre.2025.100165.pdf
Brief Introduction: This paper investigates the role of feature importance in geomechanical classification systems for rock slope stability in the Himalayan region, using machine learning to identify key parameters in RMR, SMR, and Q-Slope methods.
本文研究了特征重要性在喜马拉雅地区岩石边坡稳定性地质力学分类系统中的作用，使用机器学习方法来识别RMR，SMR和Q-Slope岩体分类系统中的关键参数。
Keywords: SMR; Q-slope; GSI; Feature importance; Partial dependence; Economic Mitigations
Cite: Kainthola, A.; Pandey, V. H. R.; Kushwaha, G.; Yadav, V., Role of feature importance in geomechanical classification of rock slopes. Deep Resources Engineering 2025, 2 (1): 100165. https://doi.org/10.1016/j.deepre.2025.100165
Partly clumped-particles for elastic mismatch of minerals and joint planes for schist: A numerical simulation of DanBa quartz mica schist
Xiao-Ping Zhang*, Shunchuan Wu*, Sijing Wang
Deep Resources Engineering. 2025, 2(1): 100166. doi.org10.1016j.deepre.2025.100166.pdf
Brief Introduction: This paper presents a numerical simulation study using a partly clumped-particle model combined with joint planes to analyze the elastic mismatch and anisotropic mechanical behavior of DanBa quartz mica schist under uniaxial compression.
本文采用结合节理面的部分团块-颗粒模型进行数值模拟研究，分析了单轴压缩条件下丹巴石英云母片岩的弹性失配和各向异性力学行为。
Keywords: Elastic mismatch; Schist; Particle element simulation; Uniaxial compressive test
Cite: Zhang, X.-P.; Wu, S.C.; Wang, S.J., Partly clumped-particles for elastic mismatch of minerals and joint planes for schist: A numerical simulation of DanBa quartz mica schist. Deep Resources Engineering 2025, 2 (1): 100166. https://doi.org/10.1016/j.deepre.2025.100166
Metaheuristic multi-objective optimization-based microseismic source location approach with anisotropic P-wave velocity field
Xin Yin, Feng Gao, Honggan Yu*, Yucong Pan*, Quansheng Liu, He Liu
Deep Resources Engineering. 2025, 2(1): 100167. doi.org10.1016j.deepre.2025.100167.pdf
Brief Introduction: This paper presents a novel microseismic source localization model that integrates anisotropic P-wave velocity and metaheuristic multi-objective optimization to enhance accuracy and stability in rockburst monitoring.
为了提高岩爆监测的准确性和稳定性，本文提出了一种将各向异性纵波速度与元启发式多目标优化相结合的微震源定位模型。
Keywords: Underground engineering; Microseismic monitoring; Microseismic source location; P-wave velocity anisotropy; Metaheuristic multi-objective optimization
Cite: Yin, X.; Gao, F.; Yu, H.G.; Pan, Y.C.; Liu, Q.S.; Liu, H., Metaheuristic multi-objective optimization-based microseismic source location approach with anisotropic P-wave velocity field. Deep Resources Engineering 2025, 2 (1): 100167. https://doi.org/10.1016/j.deepre.2025.100167
Quantifying the mechanical properties of coal matrix and cleat using digital image correlation method
Yixiao Huang, Zhang Shi, Jimmy Li, Tiancheng Zhang, Zhongwei Chen*
Deep Resources Engineering. 2025, 2(1): 100168. doi.org10.1016j.deepre.2025.100168.pdf
Brief Introduction: This paper uses the Digital Image Correlation (DIC) method to quantify the mechanical properties of coal matrix and cleat regions, revealing significant differences in Young’s modulus and compressibility that influence bulk coal deformation and permeability.
本文采用数字图像相关（DIC）方法量化煤基质和裂隙区域的力学特性，揭示了影响煤体变形和渗透率的杨氏模量和压缩率的显著差异。
Keywords: Digital image correlation; Non-contacting video extensometer; Cleat networks; Young’s modulus; Cleat compressibility
Cite: Huang, Y.X.; Shi, Z.; Li, J.; Zhang, T.C.; Chen, Z.W., Quantifying the mechanical properties of coal matrix and cleat using digital image correlation method. Deep Resources Engineering 2025, 2 (1): 100168. https://doi.org/10.1016/j.deepre.2025.100168
Short communication
Thermal performance of CO2 energy piles: A comparison with water
Linxiao Zhou, Haobin Liang, Deheng Wei, Yixiang Gan*
Deep Resources Engineering. 2025, 2 (1): 100169. doi.org10.1016j.deepre.2025.100169.pdf
Brief Introduction: This paper compares the thermal performance of CO₂ and water as heat transfer fluids in geothermal energy piles using numerical modeling and introduces the Ragone plot for evaluation, showing that CO₂ offers higher energy density and power efficiency under certain conditions.
本文采用数值模拟方法比较了CO2和水作为介质时地热能桩换热性能，并引入Ragone图对换热效率进行了评价，结果表明，相比于水作为介质，CO2具有更高的能量密度和功率效率。
Keywords: Geothermal energy pile (GEP); Supercritical carbon dioxide (sCO2); Ragone plot
Cite: Zhou, L.X.; Liang, H.B.; Wei, D.H.; Gan, Y.X., Thermal performance of CO2 energy piles: A comparison with water. Deep Resources Engineering 2025, 2 (1): 100169. https://doi.org/10.1016/j.deepre.2025.100169
