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| 1 | NMR-based damage characterisation of backfill material in host rock under dynamic loading显示文摘It is not uncommon that backfill material used in underground mining being exposed to repetitive dynamic stresses induced by blasting operations or rockburst events. Understanding the strength and fracture evolution of backfilled stopes is critical to maintain the long-term stope stability and ensure safe mining activities. This paper aims to study the damage evolution of the backfill material and its host rock behaviour under three-dimensional(3D) dynamic loading. Using a true-triaxial testing machine, multiple samples of backfill material enclosed by country rock were fabricated and tested under various dynamic loadings with different true-triaxial confining stress conditions. In addition, the nuclear magnetic resonance(NMR) measurement was conducted on the samples before and after exerting static and dynamic loading to obtain their porosity distribution changes. The experiment results suggested that with the increase of the dynamic loading, the porosity of the backfill sample goes through a two-stage process,which shows a slightly linear decrease and then followed by an exponential increase. The research findings can help understand the damage mechanism and fracture development of backfilled stopes and its host rock in deep underground mines, which are constantly subject to the combination of 3D static confining stress and dynamic loading. | Binglei Li Jiquan Lan Guangyao Si Guopeng Lin Liuqing Hu | 2020 | International Journal of Mining Science and Technology2020，30，3： | 16 |
| 2 | Fault-Induced Coal Burst Mechanism under Mining-Induced Static and Dynamic Stresses显示文摘Fault is a common geological structure that has been revealed in the process of underground coal excavation and mining.The nature of its discontinuous structure controls the deformation,damage,and mechanics of the coal or rock mass.The interaction between this discontinuous structure and mining activities is a key factor that dominates fault reactivation and the coal burst it can induce.This paper first summarizes investigations into the relationships between coal mining layouts and fault occurrences,along with relevant conceptual models for fault reactivation.Subsequently,it proposes mechanisms of fault reactivation and its induced coal burst based on the superposition of static and dynamic stresses,which include two kinds of fault reactivations from:mining-induced quasi-static stress(FRMSS)-dominated and seismic-based dynamic stress(FRSDS)-dominated.These two kinds of fault reactivations are then validated by the results of experimental investigations,numerical modeling,and in situ microseismic monitoring.On this basis,monitoring methods and prevention strategies for fault-induced coal burst are discussed and recommended.The results show that fault-induced coal burst is triggered by the superposition of high static stress in the fault pillar and dynamic stress from fault reactivation.High static stress comes from the interaction of the fault and the roof structure,and dynamic stress can be ascribed to FRMSS and FRSDS.The results in this paper could be of great significance in guiding the monitoring and prevention of fault-induced coal bursts. | Wu Cai Linming Dou Guangyao Si Yawei Hu | 2021 | Engineering2021，7，5： | 8 |
| 3 | Formation of Copolymer-Ag Nanoparticles Composite Micelles in Three-dimensional Co-flow Focusing Microfluidic Device显示文摘A novel method was presented to create composite micelles of amphiphilic copolymers and Ag nanoparticles(NPs) in a three-dimensional co-flow focusing microfluidic device(3D CFMD). Self-assembly of the copolymers was initiated by the fast mixing of water and a blend dispersion of hydrophobic Ag NPs and amphiphilic copolymers. At the same time, the hydrophobic Ag NPs enter the core of copolymer micelles, based on the hydrophobic interaction. The copolymer-Ag NPs composite micelles have a core-shell structure with copolymer shell and Ag NPs core. COMSOL Multiphysics is used to simulate the concentration distribution of copolymers and Ag NPs under different flow rates. Co-assembly microfluidic conditions are determined based on simulation results. Under suitable microfluidic conditions, both block copolymers and gradient copolymers can co-assemble with hydrophobic Ag NPs to form composite micelles, respectively. This microfluidic coassembly method will have a good prospect in the preparation of composite micelles of amphiphilic copolymers and metal nanoparticles. | 冯梦然 HE Guangyao YI Si SONG Weizheng 陈艳军 ZHANG Chaocan WANG Yifeng | 2019 | Journal of Wuhan University of Technology(Materials Science)2019，34，6： | 1 |
| 4 | Classification of clustered microseismic events in a coal mine using machine learning显示文摘Discrimination of seismicity distributed in different areas is essential for reliable seismic risk assessment in mines.Although machine learning has been widely applied in seismic data processing,feasibility and reliability of applying this technique to classify spatially clustered seismic events in underground mines are yet to be investigated.In this research,two groups of seismic events with a minimum local magnitude(ML) of-3 were observed in an underground coal mine.They were respectively located around a dyke and the longwall face.Additionally,two types of undesired signals were also recorded.Four machine learning methods,i.e.random forest(RF),support vector machine(SVM),deep convolutional neural network(DCNN),and residual neural network(ResNN),were used for classifying these signals.The results obtained based on a primary dataset showed that these seismic events could be classified with at least 91% accuracy.The DCNN using seismogram images as the inputs reached the best performance with more than 94% accuracy.As mining is a dynamic progress which could change the characteristics of seismic signals,the temporal variance in the prediction performance of DCNN was also investigated to assess the reliability of this classifier during mining.A cascaded workflow consisting of database update,model training,signal prediction,and results review was established.By progressively calibrating the DCNN model,it achieved up to 99% prediction accuracy.The results demonstrated that machine learning is a reliable tool for the automatic discrimination of spatially clustered seismicity in underground mining. | Yi Duan Yiran Shen Ismet Canbulat Xun Luo Guangyao Si | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 1 |
| 5 | A novel elastoplastic model for Yunnan sandstone under poly-axial loading显示文摘The lack of understanding of plastic hardening(softening)laws,especially under anisotropic stress conditions,results in inappropriate geotechnical management.Most of the yielding envelopes do not consider the effect of intermediate principal stress and the influence of Lode's angle.In addition,the application of plastic flow rules regarding yielding surfaces compromises the softening of rock internal friction as well as the influence of Lode's angle on the plastic potential.Moreover,the ductility to brittleness transition in the intermediate principal stress direction still requires a theoretical foundation.In this study,based on poly-axial testing results of Yunnan sandstone,we adopted a failure criterion with the intermediate principal stress proposed by Menétrey and Willam.The proposed new failure envelope was applied to capture the plastic evolution of rock samples.A plastic hardening-softening model is constructed,based on the framework of the plastic theory.The softening envelope is modified to better present the stress drop and considers the deterioration of rock internal friction in the post-peak stage of poly-axial loading.The differential of plastic potential according to the principal stresses is also modified,considering the rotation of Lode's angle in the poly-axial loading tests.The model results were compared with laboratory testing results,which showed great consistency across 9 different loading tests(5 under triaxial stress and 4 under poly-axial stress with 22 stress-strain curves in total).The induced brittleness by the intermediate principal stress is also well captured by the proposed model. | Xu Li Guangyao Si Joung Oh Ismet Canbulat Rui Kong Jian Zhang | 2023 | International Journal of Mining Science and Technology2023，33，7： | 0 |
| 6 | Quantitative assessment of the spatio-temporal correlations of seismic events induced by longwall coal mining显示文摘Rock failure process as a natural response to mining activities is associated with seismic events, which can pose a potential hazard to mine operators, equipment and infrastructures. Mining-induced seismicity has been found to be internally correlated in both time and space domains as a result of rock fracturing during progressive mining activities. Understanding the spatio-temporal(ST) correlation of mininginduced seismic events is an essential step to use seismic data for further analysis, such as rockburst prediction and caving assessment. However, there are no established methods to perform this critical task. Input parameters used for the prediction of seismic hazards, such as the time window of past data and effective prediction distance, are determined based on site-specific experience without statistical or physical reasons to support. Therefore, the accuracy of current seismic prediction methods is largely constrained, which can only be addressed by quantitively assessing the ST correlations of mininginduced seismicity. In this research, the ST correlation of seismic event energy collected from a study mine is quantitatively analysed using various statistical methods, including autocorrelation function(ACF), semivariogram and Moran’s I analysis. In addition, based on the integrated ST correlation assessment, seismic events are further classified into seven clusters, so as to assess the correlations within individual clusters. The correlation of seismic events is found to be quantitatively assessable, and their correlations may vary throughout the mineral extraction process. | Shuyu Wang Guangyao Si Changbin Wang Wu Cai Binglei Li Joung Oh Ismet Canbulat | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，5： | 0 |
| 7 | 巷道围岩调热圈分布特性研究:以羊场湾煤矿为例显示文摘为了研究矿井巷道围岩温度场的分布情况,首先在羊场湾煤矿13采区回风下山937高程附近,利用深孔测温技术测定围岩温度,同时测定具有代表性的岩石热物性参数;然后利用COMSOL软件建立数值模型,模拟巷道围岩的温度场;最后通过改变通风时间和风流特性,分析其对该巷道调热圈温度场的影响。结果表明:通过深孔测温可知该巷道原始岩温为28.3℃,调热圈半径为32 m;通过数值模拟可知:其调热圈半径为30.9 m,与实测结果误差为3.4%。随着巷道通风时间的延长,围岩的扰动范围不断增加,围岩温度不断降低,且温度降低速率逐渐变缓;随着风流温度的降低,围岩温度也逐渐下降,且越靠近巷壁的围岩受风流温度的影响越明显;随着风流速度的增大,围岩温度会逐渐下降,当风速大于4 m/s时,围岩温度趋于稳定。 | 张健 张鹏妍 魏建平 SI Guangyao 许博 许振国 | 2023 | 中国安全科学学报2023，33，8： | 0 |
| 8 | Frontiers in Coal-related Resources——introduction to the special issue显示文摘Coal-related resources, as a popular development in recent years, is the focus of research in the field of coalbed methane (CBM), coal measure gases, coal-associated rare earth resources and nonmetallic minerals (Moore, 2012;Dai and Finkelman, 2018;Qin et al., 2018). Due to its complexity in concentration, occurrence and exploitation, many key issues need to be addressed (Sayed et al., 2017;Bera et al., 2022;Liu et al., 2022). | Dameng LIU Shen JIAN Hongfei CHENG Yidong CAI Guangyao SI | 2023 | Frontiers of Earth Science2023，17，1： | 0 |
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