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Developing coal burst propensity index method for Australian coal mines

International Journal of mining Science and Technology 2018年第5期28卷 783-790页

作者： Xiaohan Yang Ting Ren Lihai Tan Alex Remennikov Xueqiu He School of Civil Mining and Environmental Engineering University of Wollongong centre of infrastructure protection and mining safety University of Wollongong School of Civil and Environmental Engineering University of Science and TechnologyBeijing

Coal burst is the violent failure of overstressed coal, and it is often accompanied by sound, coal ejection and seismic events. It is subsequently recognized as a serious safety risk of Australia after double fatalities coal burst happened at Austar Coal Mine. Considering the increasing trend of coal burst severity and frequency with mining depth, it is an urgent task to develop the coal burst risk assessment methods for Australia underground coal mines. Coal burst propensity index method is a widely used method of burst risk evaluation of coal as it is summed up from the coal burst research and practice of many *** paper presents the experimental and theoretical research of coal burst propensity index method for coal burst risk assessment in Australia. The definition of four indexes including elastic strain energy index(W_(ET)), bursting energy index(K_E), dynamic failure time(DT) and uniaxial compression strength(RC)is introduced in the first part. Then, the standard laboratory test process and test parameter of coal burst propensity index is presented. DT test is conducted with 0.3 mm/min displacement control loading rate while other test is with 0.5 mm/min. Besides, modified data processing and risk classification method of test are proposed. Differentiate analysis of stress-strain curve is adopted in the data processing of DT and KEindex. A four level risk classification form of burst risk is recommended for Australian underground coal mines. Finally, two likely improvement methods of W_(ET) test, including volumetric strain indicator method and theoretical calculation method, are discussed.

关键词： Coal burst Coal burst propensity Risk evaluation Underground mining

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Development of a spontaneous combustion TARPs system based on BP neural network

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International Journal of mining Science and Technology 2015年第5期25卷 803-810页

作者： Wang Longkang Ren Tingxiang Nie Baisheng Chen Yang Lv Changqing Tang Haoyang Zhang Jufeng School of Resources & safety Engineering China University of Mining & TechnologyBeijing State Key Laboratory of Coal Resources & Safe mining China University of Mining & TechnologyBeijing centre of infrastructure protection and mining safety Faculty of Engineering and Information SciencesUniversity of Wollongong School of Resources & safety Engineering China University of Mining & Technology Weiyuan Coal Mine Jingyuan Coal Industry Group

Spontaneous combustion of coal is a major cause of coal mine *** not only poses a severe hazard to the safe extraction of coal resources,but also jeopardizes the safety of mine *** development of a scientific management system of coal spontaneous combustion is of vital importance to the safe production of coal *** paper provides a comparative analysis of a range of worldwide prediction techniques and methods for coal spontaneous combustion,and systematically introduces the trigger action response plans(TARPs)system used in Australian coal mines for managing the spontaneous heating of *** artificial neural network model has been established on the basis of real coal mine operational *** studying and training the neural network model,prediction errors can be controlled within the allowable *** trained model is then applied to the conditions of Nos.1 and 3 coal seams located in Weijiadi Coal Mine to demonstrate its feasibility for spontaneous combustion *** upon the TARPs system which is commonly used in Australian longwall mines,a TARPs system has been developed for Weijiadi Coal Mine to assist the management of spontaneous combustion hazard and ensure the safe operation of its mining activities.

关键词： Neural network Coal spontaneous combustion TARPs safety management

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Guest editorial-special issue on green mining in 2016

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International Journal of mining Science and Technology 2017年第5期27卷 723-724页

作者： Ren Ting Xu Jialin centre for infrastructure and mining safety Faculty of Engineering and Information SciencesUniversity of Wollongong State Key Laboratory of Coal Resources and Safe mining China University of Mining and Technology

The 9th International Symposium on Green mining (9th ISGM) was co-hosted by the University of Wollongong (UOW) and China University of mining and Technology (CUMT), Wollongong, NSW Australia, 27-30th November 2016. A full-day was dedicated to an International Workshop on Coal and Rock Burst in response to the recent coal burst incidents in Australia. The conference attracted more than 160 delegates from China, the US, Czech Republic, Poland and Australia to discuss the latest developments in green and sustainable mining practices. The ISGM series, organized annually by the State Key Laboratory of Coal Resources and Safe mining, CUMT, has been well recognised by Chinese scholars and coal mining operators as one of the most important forums to present and discuss the latest technologies and research outcomes related to all aspects of ''Green mining''.

关键词： ISGM CUMT

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DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

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Computers, Materials & Continua 2025年第1期82卷 645-674页

作者： Chunhui Li Xiaoying Wang Qingjie Zhang Jiaye Liang Aijing Zhang School of Information Engineering Institute of Disaster PreventionLangfang065201China Langfang Key Laboratory of Network Emergency protection and Network Security Langfang065201China

Previous studies have shown that deep learning is very effective in detecting known ***,when facing unknown attacks,models such as Deep Neural Networks(DNN)combined with Long Short-Term Memory(LSTM),Convolutional Neural Networks(CNN)combined with LSTM,and so on are built by simple stacking,which has the problems of feature loss,low efficiency,and low ***,this paper proposes an autonomous detectionmodel for Distributed Denial of Service attacks,Multi-Scale Convolutional Neural Network-Bidirectional Gated Recurrent Units-Single Headed Attention(MSCNN-BiGRU-SHA),which is based on a Multistrategy Integrated Zebra Optimization Algorithm(MI-ZOA).The model undergoes training and testing with the CICDDoS2019 dataset,and its performance is evaluated on a new GINKS2023 *** hyperparameters for Conv_filter and GRU_unit are optimized using the Multi-strategy Integrated Zebra Optimization Algorithm(MIZOA).The experimental results show that the test accuracy of the MSCNN-BiGRU-SHA model based on the MIZOA proposed in this paper is as high as 0.9971 in the CICDDoS 2019 *** evaluation accuracy of the new dataset GINKS2023 created in this paper is *** to the MSCNN-BiGRU-SHA model based on the Zebra Optimization Algorithm(ZOA),the detection accuracy on the GINKS2023 dataset has improved by 5.81%,precisionhas increasedby 1.35%,the recallhas improvedby 9%,and theF1scorehas increasedby 5.55%.Compared to the MSCNN-BiGRU-SHA models developed using Grid Search,Random Search,and Bayesian Optimization,the MSCNN-BiGRU-SHA model optimized with the MI-ZOA exhibits better performance in terms of accuracy,precision,recall,and F1 score.

关键词： Distributed denial of service attack intrusion detection deep learning zebra optimization algorithm multi-strategy integrated zebra optimization algorithm

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Guest Editorial-Special Issue on Green mining

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International Journal of mining Science and Technology 2014年第3期24卷 291-292页

作者： Ting Ren Jialin Xu centre for infrastructure and mining safety Faculty of Engineering and Information SciencesUniversity of Wollongong State Key Laboratory of Coal Resources and Safe mining China University of Mining and Technology

The 6th International Symposium on Green mining(6th ISGM)was co-hosted by the University of Wollongong(UOW)and China University of mining and Technology(CUMT),Australia,24–26th November *** symposium attracted more t... 详细信息

关键词：绿色矿业中国矿业大学编辑部国家重点实验室游客中国科技大学澳大利亚国际研讨会

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Application of deep borehole blasting on fully mechanized hard top-coal pre-splitting and gas extraction in the special thick seam

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International Journal of mining Science and Technology 2015年第5期25卷 755-760页

作者： Liu Jian Liu Zegong Xue Junhua Gao Kui Zhou Wei State Key Laboratory of Deep Coal mining & Environmental protection School of Energy and safety Anhui University of Science & Technology Key Laboratory of safety and High-efficiency Coal mining Ministry of EducationAnhui University of Science & Technology

In order to solve the problems of top-coal inadequate destruction and large amounts of gas emission in mining extra thick and hard coal seam,this study investigated the pre-splitting for deep borehole blasting and gas pre-draining technologies on top *** mechanism of the technologies was systematically expounded based on hard top-coal cracks development obtained by numerical simulation and theoretical *** results show that explosive blasting in the hard rock results in a large number of cracks and large displacement in the rock mass due to the effect of explosion ***,the thick top-coal caves,and desorbing gas flows along the cracks improve gas ***,the pre-splitting for deep borehole blasting and gas pre-draining technologies was applied in No.3802 working face of Shui Liandong Coal Mine,which increases monthly output in the face to 67.34 kt and the drained gas concentration to 86.2%.The drained gas average concentration from each borehole reaches 40%,and the effect is remarkable.

关键词： Deep borehole blasting Fully mechanized mining Hard thick coal seam Top-coal pre-splitting Gas extraction

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Evaluation of effectiveness of polymer coatings in reducing blastinduced deformation of steel plates

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Defence Technology（防务技术） 2021年第6期17卷 1895-1904页

作者： Damith Mohotti P.L.N.Fernando Dakshitha Weerasinghe Alex Remennikov School of Engineering and Information Technology The University of New South WalesCanberraACT2600Australia Department of Civil Engineering Faculty of EngineeringGeneral Sir John Kotelawala Defence UniversityRatmalanaSri Lanka School of Civil Engineering Faculty of EngineeringThe University of SydneyDarlingtonNSW2006Australia centre for infrastructure protection and mining safety University of WollongongWollongongNSW2522Australia

Incorporating elastomers such as polymers in protective structures to withstand high energetic dynamic loads,has gained significant *** main objective of this study is to investigate the influence of a Polyurea coating towards the blast-induced response in steel *** such,Polyurea coated steel plates were tested under near-field blast loads,produced by the detonation of 1 kg of spherical nitromethane charges,at a standoff distance of 150 *** steel(XLERPLATE 350)and high-strength steel(BIS80)plates with thicknesses of 10 mm were Polyurea coated with thicknesses of 6 mm and 12 mm on either the front(facing the charge)or the back *** deformation profiles were measured using 3D *** simulations were performed using the non-linear finite element code *** strain-dependent behaviour of the steel and Polyurea were represented by Johnson-cook and Money-Rivlin constitutive models,*** numerical models were validated by comparing the plate deflection results obtained from the experiments and were then used in the subsequent parametric study to investigate the optimum thickness of the Polyurea *** results indicate that back face coating contributes towards an approximately 20%reduction in the residual deformation as well as the absence of melting of the Polyurea layer,while the front-face coating can be used a means of providing additional standoff distance to the steel plates.

关键词： Polyurea coating Near-field blast LS-DYNA Plate deformation ALE

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Evaluation and empirical research on the energy efficiency of 20 mining cities in Eastern and Central China

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International Journal of mining Science and Technology 2018年第3期28卷 525-531页

作者： Liu Xiaomeng Meng Xiangrui School of mining and safety Engineering Anhui University of Science and Technology

The gap of energy efficiency of eastern and central mining cities in China continues to expand, getting more attention from relevant departments. In this work, 20 mining cities in Eastern and Central China from 2010 to 2014 have been selected as research samples using data envelopment analysis(DEA).Research results show that the level of energy efficiency in mining cities is still low. China is in an extensive economic growth mode with high input, high consumption, low output and low efficiency. mining cities in China have a huge potential to conserve energy and reduce emissions. China should optimize industrial structures, strengthen scientific and technological input and innovation, as well as implement energy-saving emissions reductions, and increase investment in environmental protection and ideological propaganda.

关键词： Energy efficiency mining city Data envelopment analysis Innovation Environmental protection

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Activation characteristics analysis on concealed fault in the excavating coal roadway based on microseismic monitoring technique

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International Journal of mining Science and Technology 2017年第5期27卷 883-887页

作者： Liu Chao Li Shugang Cheng Cheng Xue Junhua School of safety Science and Engineering Xi’an University of Science and TechniqueXi’an 710054China State Key Laboratory of Deep Coal mining&Environment protection Huainan 710054China

In order to effectively monitor the concealed fault activation process in excavation activities, based on the actual condition of a working face containing faults with high outburst danger in Xin Zhuangzi mine in Huainan, China, we carried out all-side tracking and monitoring on the fault activation process and development trend in excavation activities by establishing a microseismic monitoring system. The results show that excavation activities have a rather great influence on the fault activation. With the working face approaching the fault, the fault activation builds up and the outburst danger increases; when the excavation activities finishes, the fault activation tends to be stable. The number of microseismic events are corresponding to the intensity of fault activation, and the distribution rules of microseismic events can effectively determine the fault occurrence in the mine. Microseismic monitoring technique is accurate in terms of detecting geologic tectonic activities, such as fault activations lying ahead during excavation activities. By utilizing this technique, we can determine outburst danger in excavation activities in time and accordingly take effective countermeasures to prevent and reduce the occurrence of outburst accidents.

关键词： Excavation roadway Fault Microseismic monitoring technique Coal and gas outburst Activation characteristics

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Creep behaviour and constitutive model of coal filled with gas

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International Journal of mining Science and Technology 2017年第5期27卷 847-851页

作者： Li Xiangchun Yang Chunli Ren Ting Nie Baisheng Zhao Caihong Liu Shuiwen Jiang Tao School of Resource and safety Engineering China University of Mining & Technology Occupational Hazards Control Technology Center Beijing Municipal Institute of Labour Protection Faculty of Engineering and Information Sciences University of Wollongong

Coal exhibits different creep behaviours when filled with different amounts of gas. Creep tests of coal filled with 0 and 0.5 MPa gas were performed, and strain under different axial stress was *** three creep constitutive models which were analysed using the method fitting experimental data for determining which creep model can reflect the creep process of the test best. The results show that the deformation of coal filled with 0.5 MPa gas is more higher than that of coal filled with 0 MPa gas under the same axial stress. Gas plays a positive effect on the deformation of coal process and will accelerate creep process. And gas will reduce coal intensity and change coal creep *** with Nishihara Model and Extensional Nishihara Model, Burgers Model can reflect the three stages of creep process of coal filled with gas better. The research results can contribute to reveal coal and gas outburst mechanism.

关键词： Coal Gas Creep Constitutive model

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