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Safety analysis and control of blasting mining area adjacent to infrastructure
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作者 Shi Fuqiang 《Engineering Sciences》 EI 2014年第6期96-99,共4页
Systematic analysis of influence of blasting vibration on bridges,tunnels,slopes and the mechanical relationships between each other were drawn based on the example of safety argument between blasting mining area and ... Systematic analysis of influence of blasting vibration on bridges,tunnels,slopes and the mechanical relationships between each other were drawn based on the example of safety argument between blasting mining area and protected objects.The safety argument methods and technological means of controlling dangerous and harmful factors were proposed by the application of principle of risk analysis.And standard control system was established based on controlling the blasting parameters of division of blasting area. 展开更多
关键词 blasting mining safety argument BRIDGES TUNNELS high-steep slopes
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Kinetic energy and its applications in mining engineering 被引量:6
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作者 Zhang Zongxian 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2017年第2期237-244,共8页
Reduction of energy consumption in comminution is of significant importance in mining industry. To reduce such energy consumption the energy efficiency in an individual operation such as blasting must be increased. By... Reduction of energy consumption in comminution is of significant importance in mining industry. To reduce such energy consumption the energy efficiency in an individual operation such as blasting must be increased. By using both new investigations and previous experimental results, this paper demonstrates that (1) kinetic energy carried by moving fragments in rock fracture is notable and it increases with an increasing loading rate;(2) this kinetic energy can be well used in secondary fragmentation in crushing and blasting. Accordingly, part of the muck pile from previous blast should be left in front of new(bench) face in either open pit or underground blasting. If so, when new blast occurs, the fragments from the new blast will collide with the muck pile left from the previous blast, and the kinetic energy carried by the moving fragments will be partly used in their secondary fragmentation. 展开更多
关键词 Kinetic energy Rock fragmentation Open pit blasting Sublevel caving mining Energy efficiency
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Prediction of blast-induced flyrock in Indian limestone mines using neural networks 被引量:9
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作者 R.Trivedi T.N.Singh A.K.Raina 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2014年第5期447-454,共8页
Frequency and scale of the blasting events are increasing to boost limestone production. Mines areapproaching close to inhabited areas due to growing population and limited availability of land resourceswhich has chal... Frequency and scale of the blasting events are increasing to boost limestone production. Mines areapproaching close to inhabited areas due to growing population and limited availability of land resourceswhich has challenged the management to go for safe blasts with special reference to opencast mining.The study aims to predict the distance covered by the flyrock induced by blasting using artificial neuralnetwork (ANN) and multi-variate regression analysis (MVRA) for better assessment. Blast design andgeotechnical parameters, such as linear charge concentration, burden, stemming length, specific charge,unconfined compressive strength (UCS), and rock quality designation (RQD), have been selected as inputparameters and flyrock distance used as output parameter. ANN has been trained using 95 datasets ofexperimental blasts conducted in 4 opencast limestone mines in India. Thirty datasets have been used fortesting and validation of trained neural network. Flyrock distances have been predicted by ANN, MVRA,as well as further calculated using motion analysis of flyrock projectiles and compared with the observeddata. Back propagation neural network (BPNN) has been proven to be a superior predictive tool whencompared with MVRA. 2014 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved. 展开更多
关键词 Artificial neural network(ANN) blasting Opencast mining Burden Stemming Specific charge Flyrock
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