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Effects of aggregate size distribution and carbon nanotubes on the mechanical properties of cemented gangue backfill samples under true triaxial compression

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 311-324页

作者： Qian Yin Fan Wen Zhigang Tao Hai Pu Tianci Deng Yaoyao Meng Qingbin Meng Hongwen Jing Bo Meng Jiangyu Wu State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China State Key Laboratory for Geomechanics&Deep Underground Engineering China University of Mining and Technology(Beijing)Beijing 100083China Key Laboratory of Xinjiang Coal Resources Green Mining Ministry of EducationXinjiang Institute of EngineeringUrumqi 830023China

The mechanical behavior of cemented gangue backfill materials(CGBMs)is closely related to particle size distribution(PSD)of aggregates and properties of cementitious ***,the true triaxial compression tests,CT scanning,SEM,and EDS tests were conducted on cemented gangue backfill samples(CGBSs)with various carbon nanotube concentrations(P_(CNT))that satisfied fractal theory for the PSD of *** mechanical properties,energy dissipations,and failure mechanisms of the CGBSs under true triaxial compression were systematically *** results indicate that appropriate carbon nanotubes(CNTs)effectively enhance the mechanical properties and energy dissipations of CGBSs through micropore filling and microcrack bridging,and the optimal effect appears at P_(CNT)of 0.08wt%.Taking PSD fractal dimension(D)of 2.500 as an example,compared to that of CGBS without CNT,the peak strength(σ_(p)),axial peak strain(ε_(1,p)),elastic strain energy(Ue),and dissipated energy(U_(d))increased by 12.76%,29.60%,19.05%,and90.39%,***,excessive CNTs can reduce the mechanical properties of CGBSs due to CNT agglomeration,manifesting a decrease inρ_(p),ε_(1,p),and the volumetric strain increment(Δε_(v))when P_(CNT)increases from 0.08wt%to 0.12wt%.Moreover,the addition of CNTs improved the integrity of CGBS after macroscopic failure,and crack extension in CGBSs appeared in two modes:detour and pass through the ***σ_(p)and U_(d)firstly increase and then decrease with increasing D,and porosity shows the opposite ***ε_(1,p)andΔε_(v)are negatively correlated with D,and CGBS with D=2.150 has the maximum deformation parameters(ε_(1,p)=0.05079,Δε_(v)=0.01990)due to the frictional slip effect caused by coarse *** increasing D,the failure modes of CGBSs are sequentially manifested as oblique shear failure,"Y-shaped"shear failure,and conjugate shear failure.

关键词： cemented gangue backfill materials particle size distribution true triaxial compression test carbon nanotubes mechanical properties failure modes

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Effects of bedding characteristics on crack propagation of coal under mode Ⅱ loading:laboratory experiment and numerical simulation

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第2期17卷 1037-1052页

作者： Zhuang Sun Yixin Zhao Yirui Gao Xiaoliang Wang Hao Wang Bin Liu Yaodong Jiang Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources China University of Mining and Technology(Beijing)Beijing100083China School of Energy and Mining Engineering China University of Mining and Technology(Beijing)Beijing100083China State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology(Beijing)Beijing100083China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan454003China

The fracture network of hydraulic crack is significantly influenced by the bedding plane in coalbed methane *** mode Ⅱ loading,crack deflection holds a key position in hydraulic cracking,especially in hydraulic *** study first analyzed the crack deflection theory of layered *** semi-circle bending test under asymmetric loading is performed,and the four-dimensional Lattice Spring Model(4D-LSM)is established to examine how the bedding parameters affect coal crack propagation under mode Ⅱ dominant *** 4D-LSM results are comparable to the coal loading test results under quasi-mode Ⅱ and the analytical prediction of crack deflection *** mode Ⅱ loading,the coal crack propagation is greatly influenced by the angle,strength,and elastic modulus of the bedding plane,while the effects of thickness and spacing of bedding are *** crack of coal tends to propagate towards the bedding,following a decrease in bedding angle,a decrease in bedding strength,and an increase in elastic *** higher bedding strength,spacing,and thickness,the peak load on the coal sample is *** influences of bedding strength,elastic modulus,spacing,and thickness on the peak load of coal samples and its anisotropy gradually *** is proved that compared with the tangential stress ratio and traditional energy release ratio theories,the corrected energy release ratio criterion can more accurately predict the direction of crack deflection of coal,especially under mode Ⅱ *** results can provide assistance in the design of initiation pressure and fracturing direction in coal seam hydraulic fracturing.

关键词： Bedding plane coal ModeⅡdominant loading Crack propagation 4D-lattice spring model(4D-LSM)

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Geostatistics-block-based characterization of the relationship between rock mass quality and powder factor and its application on open-pit limit optimization

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International Journal of mining Science and Technology 2025年第1期35卷 135-147页

作者： Jinduo Li Tianhong Yang Feiyue Liu Shigui Du Wenxue Deng Yong Zhao Honglei Liu Leilei Niu Zhiqiang Xu Center for Rock Instability and Seismicity Research School of Resources&Civil EngineeringNortheastern UniversityShenyang 110819China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China Institute of Rock Mechanics Ningbo UniversityNingbo 315211China Shuguang Gold and Copper Open Pit Mine Zijin Mining Group Company LimitedHunchun 133300China

Accurately predicting the powder factor during blasting is essential for sustainable production planning in low-grade *** research presents a method for predicting powder factor based on the heterogeneity of rock mass rating(RMR).Considering a low-grade metal mine as an example,this study exploited geostatistical methods to obtain independent RMR for each block unit.A three-dimensional spatial distribution model for the powder factor was developed on the basis of the relationships between the RMR and the powder ***,models for blasting cost and mining value were built and employed to optimize the open-pit *** multi-variable model based on the RMR performed well in predicting the powder factor,achieving a correlation coefficient of 0.88(root mean square error of 4.3)and considerably outperforming the uniaxial compressive strength *** model optimization,the mean size and standard deviation of the fragments in the blast pile decreased by 8.5%and 35.1%,respectively,whereas the boulder yield and its standard deviation decreased by 33.3%and 58.8%,***,optimizing the open-pit limit using this method reduced the amount of rock,increased the amount of ore,and lowered blasting costs,thereby enhancing the economic efficiency of the *** study provides valuable insights for blasting design and mining decisions,demonstrating the advantages and potential applications of powder factor prediction based on the heterogeneity of rock mass quality.

关键词： Geostatistics method Powder factor Open-pit limit optimization Blasting cost Rock mass quality

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Object-centered heuristic A* conformance checking method 2

Object-centered heuristic A* conformance checking method

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2nd International Conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yang, Xiaolong Wang, Lili College of Mathematics and Big Data Anhui University of Science＆Technology Anhui Huainan232001 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Anhui Huainan232001 China

ISBN: (纸本)9781510689053

Traditional approaches typically flatten the process when checking the conformance of complex processes. However, this flattening approach can result in the loss of dependencies between objects, reducing the accuracy of the conformance check. This paper proposes an object-centered alignment optimization method based on the heuristic A* algorithm to address this issue. This method effectively improves the efficiency of object-centered alignment in complex scenarios by considering both heuristic search and actual cost. The experimental results demonstrate that, in comparison to existing approaches, the proposed method presented in this paper observably enhances the efficiency of alignment in complex graph structures, exhibits superior adaptability, and gains a better understanding of the relationship between object-centric process behavior and data. These results provide new ideas and methods for improving conformance checking, which are of great theoretical and practical significance, especially in dynamic and complex environments where the potential for application has been further validated. © 2025 SPIE.

关键词： Detection and tracking algorithms mining Alignment modeling Process modeling Algorithm development Beam propagation method Mathematical optimization Connectors Medicine Transportation

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Elastic wave propagation and attenuation characteristics of roof fracture source

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Geomechanics and Engineering 2025年第4期40卷 295-305页

作者： Zhang, Peng-Fei Zhao, Tong-Bin Gong, Xu-Fei Tan, Yan Guo, Chuan-Qing College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China Shandong Key Laboratory of Intelligent Prevention and Control of Dynamic Disaster in Deep Mines Shandong University of Science and Technology Qingdao266590 China Energy Group Co. Ltd. Jining No.2 Coal Mine Jining272012 China

Abstract. The propagation attenuation law of elastic waves generated by rock mass fractures in strata is of great significance in explaining engineering problems, such as rock bursts. In this study, a wave velocity model was established based on the actual stratum conditions of the Jining No.2 coal mine in China. The propagation process of different types of elastic waves is simulated using the elastic wave equation and finite difference method. The attenuation coefficients of various elastic wave parameters propagating at different positions were calculated. Based on the calculated results, an attenuation equation for the elastic wave energy is proposed. The results show that the propagation of S-waves and P-waves in strata is similar to each other, and wave pattern transformation occurs at the interface of the strata. The magmatic rocks played a role in channeling and reflecting elastic wave propagation, leading to the occurrence of low-energy aftershocks in the coal seams. The peak displacement, peak stress, and energy density of the elastic wave that propagated to the coal seam after the siltstone layer fracture of the roof of the 3down coal seam decreased to 28%, 25%, and 9% of the source, respectively. The attenuation of elastic wave energy is highly correlated with the propagation distance, and the attenuation equation can be represented as an exponential function. These results are of great significance for revealing the propagation attenuation process of elastic waves in the stratum. © 2025 Techno-Press, Ltd.

关键词： Exponential functions

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Multispectral imaging and enhanced YOLOv10n for efficient coal gangue detection in complex mining environments

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Journal of Real-Time Image Processing 2025年第3期22卷 1-14页

作者： Yan, Pengcheng Sun, Hao Zhao, Yuanjun Wang, Pinghong Wu, Zhiqi State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine Anhui University of Science and Technology Huainan China

To address the issues in existing coal gangue recognition methods, such as large detection models that are difficult to deploy on embedded devices, long detection times, and low accuracy, this paper proposes a method that collects multispectral images of coal gangue based on spectral technology and integrates an improved lightweight YOLOv10n model for target recognition and detection. This approach effectively reduces the model size, decreases detection time, and improves the accuracy and performance of coal gangue recognition. To reduce the model parameters, this study adopts the lightweight neural network architecture MobileNetV4 to replace the original backbone and further optimizes it for efficiency. Additionally, GhostConv layers are used in the head of the model to replace traditional Conv layers, reducing the computational burden. However, the model’s accuracy in multi-target recognition was still not ideal, so a Spatial Group-wise Enhancement (SGE) module was added after the C2fCIB (Contextual Feature Fusion and Inference Block) module in the head, significantly improving detection accuracy. The coal gangue dataset in this study was collected using a multispectral data acquisition system, resulting in 4500 sets of multispectral data. Through Principal Component Analysis (PCA), spectral images from the 4th, 6th, 22th, and 25th bands were selected from a total of 25 bands to generate pseudo-RGB images, forming the dataset for this study. A total of 974 initial sample images of coal gangue were collected. After applying Gaussian filtering to reduce noise and implementing data augmentation on certain images, a dataset of 4000 coal gangue images was generated. These images were then split into training and testing sets with a ratio of 4:1. The final improved model, M4-GHOST-SGE-YOLOv10n, further enhanced precision and recall. Compared to the original model, the M4-GHOST-SGE-YOLOv10n model reduced parameters and GFLOPs by 22.45% and 26.8%, respectively, while incr

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Short-Term Synchronous and Asynchronous Ambient Noise Tomography in Urban Areas: Application to Karst Investigation

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Engineering 2025年 48卷 292-308页

作者： Liu, Ya Xia, Jianghai Guan, Bo Xi, Chaoqiang Ning, Ling Zhang, Hao Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310027 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines School of Earth and Environment Anhui University of Science and Technology Huainan232001 China Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education Jiangxi Normal University Nanchang330022 China GBA Branch of Aerospace Information Research Institute Chinese Academy of Sciences Guangzhou510700 China

Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imaging, significantly impacting geohazard prevention and control. Conventional dense-array studies, however, require simultaneous observations of numerous stations for extensive coverage. To conduct a comprehensive karst feature investigation with limited stations, we designed a new synchronous–asynchronous observation system that facilitates dense array observations. We conducted two rounds of asynchronous observations, each lasting approximately 24 h, in combination with synchronous backbone stations. We achieved wide-ranging coverage of the study area utilizing 197 nodal receivers, with an average station spacing of 7 m. The beamforming results revealed distinct variations in the noise source distributions between day and night. We estimated the source strength in the stationary phase zone and used a weighting scheme for stacking the cross-correlation functions (C1 functions) to suppress the influence of nonuniform noise source distributions. The weights were derived from the similarity coefficients between multicomponent C1 functions related to Rayleigh waves. We employed the cross-correlation of C1 functions (C2 methods) to obtain the empirical Green's functions between asynchronous stations. To eliminate artifacts in C2 functions from higher-mode surface waves in C1 functions, we filtered the C1 functions on the basis of different particle motions linked to multimode Rayleigh waves. The dispersion measurements of Rayleigh waves obtained from both the C1 and C2 functions were utilized in surface wave tomography. The inverted three-dimensional (3D) shear-wave (S-wave) velocity model reveals two significant low-velocity zones at depths ranging from 40 to 60 m, which align well with the karst caves found in the drilling data. The method of short-term synchronous–asynchronous ambient noise tomography shows promise as a cost-effective and efficient approach for urban ge

关键词： Shear waves

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Mechanism of failure and control measures for deep excavation and unloading rock mass

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Bulletin of Engineering Geology and the Environment 2025年第6期84卷 1-18页

作者： Yang, Sen Ma, Liqiang Xu, Juan Yang, Peng Key Laboratory of Xinjiang Coal Resources Green Mining Ministry of Education Xinjiang Institute of Engineering Urumqi China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Huainan China

In order to study the mechanism of rock mass fracture and instability during deep excavation unloading and support problems, a comprehensive approach was adopted, including on-site investigation, laboratory tests, theoretical analysis, and numerical simulation. True triaxial tests were conducted under different support stresses, including "single-sided lateral unloading—three-way five sided stress—single-sided lateral support—vertical continuous loading". The mechanical behavior, failure mode, AE, and energy evolution characteristics of rocks under excavation unloading and support stress paths were studied, and targeted control measures were proposed. The research results indicate that: (1) As the support stress increases, the peak strength of the unloaded rock during failure increases, the maximum principal strain decreases, and the failure mode changes from tensile shear composite failure to shear failure; (2) As the support stress increases, the total energy U, elastic energy Ue, and dissipated energy Ud at the time of rock failure increase, and the strain energy conversion rate u before the peak increases linearly with the support stress; (3) The anchoring support function of bolts and anchor cables were studied, and a coupled support strategy of "beam arch" load-bearing structure with prestressed anchor rods and anchor cables as the main support was proposed. It was applied on site in the 1211 (1) transportation roadway of Guqiao Mine and achieved good application results.

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Upper crustal azimuthal anisotropy and seismogenic tectonics of the Hefei segment of the Tan-Lu Fault Zone from ambient noise tomography

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Earth and Planetary Physics 2025年第2期9卷 253-265页

作者： Cheng Li HuaJianYao Song Luo HaiJiang Zhang LingLi Li XiaoLi Wang ShengJun Ni State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan Anhui 232001China School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China Mengcheng National Geophysical Observatory University of Science and Technology of ChinaBozhou Anhui 233500China Anhui Earthquake Agency Hefei 230031China Anhui Huizhou Geology Security Institute Company Ltd.Hefei 231202China

The Tan-Lu Fault Zone is a large NNE-trending fault zone that has a substantial effect on the development of eastern China and its earthquake disaster prevention efforts. Aiming at the azimuthally anisotropic structure in the upper crust and seismogenic tectonics in the Hefei segment of this fault, we collected phase velocity dispersion data of fundamental mode Rayleigh waves from ambient noise cross-correlation functions of ~400 temporal seismographs in an area of approximately 80 × 70 km along the fault zone. The period band of the dispersion data was ~0.5–10 s. We inverted for the upper crustal three-dimensional(3-D) shear velocity model with azimuthal anisotropy from the surface to 10 km depth by using a 3-D direct azimuthal anisotropy inversion method. The inversion result shows the spatial distribution characteristics of the tectonic units in the upper crust. Additionally, the deformation of the Tan-Lu Fault Zone and its conjugated fault systems could be inferred from the anisotropy model. In particular, the faults that have remained active from the early and middle Pleistocene control the anisotropic characteristics of the upper crustal structure in this area. The direction of fast axes near the fault zone area in the upper crust is consistent with the strike of the faults, whereas for the region far away from the fault zone, the direction of fast axes is consistent with the direction of the regional principal stress caused by plate movement. Combined with the azimuthal anisotropy models in the deep crust and uppermost mantle from the surface wave and Pn wave, the different anisotropic patterns caused by the Tan-Lu Fault Zone and its conjugated fault system nearby are shown in the upper and lower crust. Furthermore,by using the double-difference method, we relocated the Lujiang earthquake series, which contained 32 earthquakes with a depth shallower than 10 km. Both the Vs model and earthquake relocation results indicate that earthquakes mostly occurred in th

关键词： ambient noise tomography azimuthal anisotropy upper crust seismogenic structure the Tan-Lu Fault Zone Hefei segment

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Transparent geological exploration for intelligent and safe open-pit mining based on ambient noise seismic imaging

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Applied Geophysics 2025年第1期22卷 12-21,231页

作者： Li Ping-Feng Zheng Qiang-Qiang Xu Ying Wei Di Qian Jia-wei Yang Bao-Ji Key Laboratory of Safety Intelligent Mining in Non-coal Open-pit Mines National Mine safety AdministrationGuangzhou Guangdong 510000China Hongda Blasting Engineering Group Co. Ltd.Changsha Hunan 410011China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China

The advancement of intelligent mining in open-pit operations has imposed higher demands on geological transparency,aiming to provide a robust foundation for intelligent drilling and *** this study,a linear array of 120 nodal seismometers was deployed along the surfaces of the C8 and C9 platforms at Fenghuang Mountain to investigate cavities within the rock mass and prevent improper intelligent *** seismometers were 1 m apart along measurement lines,with a 2-m spacing between lines,and the monitoring time for each line was set at 2 *** deployment was paired with spatial autocorrelation and station autocorrelation to analyze ambient noise seismic data and image the velocity and structure within the rock *** results demonstrate that the locations and sizes of cavities or loose structures can be accurately identified at the prepared excavation *** with traditional geological exploration methods for openpit mines,the approach in this study off ers higher accuracy,greater efficiency,reduced labor intensity,and insensitivity to water *** noise seismic imaging for detecting adverse geological conditions in open-pit mines provides critical insights and references for intelligent mining advancements.

关键词： Intelligent blasting Geological exploration Open-pit mines Ambient noise

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