Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

An ideally performed blasting operation enormously influences the mining overall cost. This aim can be achieved by proper prediction and attenuation of flyrock and backbreak. Poor performance of the empirical models has urged the application of new approaches. In this paper, an attempt has been made to develop a new neuro-genetic model for predicting flyrock and backbreak in Sungun copper mine, Iran. Recognition of the optimum model with this method as compared with the classic neural networks is faster and convenient. Genetic algorithm was utilized to optimize neural network parameters. Parameters such as number of neurons in hidden layer, learning rate, and momentum were considered in the model construction. The performance of the model was examined by statistical method in which absolutely higher efficiency of neuro-genetic modeling was proved. Sensitivity analysis showed that the most influential parameters on flyrock are stemming and powder factor, whereas for backbreak, stemming and charge per delay are the most effective parameters.     

微差爆破模拟天然地震的数值分析与效果评价

微差爆破可以创造出与天然地震相类似的振动环境。为了更好地对爆破模拟天然地震进行研究和评价,在LS-DYNA软件框架内,建立了适合于爆炸荷载作用下土体动力分析的实用模型,对原位土体场地爆破地震动试验进行了全尺寸数值模拟,并将模拟结果与现场实测数据进行比较分析,验证数值计算的准确性。计算结果表明,模拟得到的场地质点加速度-时程与实测数据比较吻合,因此,可以预先利用数值手段为试验方案设计提供指导;同时,数值模拟还总结了现场试验中未得到的场地压力变化规律和振动规律,分析了爆破地震动与天然地震的异同,丰富了爆破地震动的研究,表明利用爆破手段能够近似地模拟天然地震,为微差爆破模拟天然地震的研究工作提供了经济、简便而实用的方法。     

Application of artificial intelligence techniques for predicting the flyrock distance caused by blasting operation

Flyrock arising from blasting operations is one of the crucial and complex problems in mining industry and its prediction plays an important role in the minimization of related hazards. In past years, various empirical methods were developed for the prediction of flyrock distance using statistical analysis techniques, which have very low predictive capacity. Artificial intelligence (AI) techniques are now being used as alternate statistical techniques. In this paper, two predictive models were developed by using AI techniques to predict flyrock distance in Sungun copper mine of Iran. One of the models employed artificial neural network (ANN), and another, fuzzy logic. The results showed that both models were useful and efficient whereas the fuzzy model exhibited high performance than ANN model for predicting flyrock distance. The performance of the models showed that the AI is a good tool for minimizing the uncertainties in the blasting operations.     

空气间隔装药爆破机理研究

利用爆轰波理论分析了空气间隔装药炮孔内一维不定常激波的相互作用及其在炮孔堵头、孔底的反射过程,同时分析了孔内各点的压力随时间的变化过程,介绍了空气间隔装药爆破的机理及设计参数。基于此,认为应充分利用空气间隔爆破结构的优势,并在梯段爆破中满足以下两个条件：（1）在设计过程中要尽量使稀疏波及从孔底反射的稀疏波传播过程能在整个孔内每一断面都作用到,即稀疏波到达孔底的时间要比从堵头反射的压力波到达孔底要早;（2）反射压力波应该到达空气与爆生气体接触面的时间比从孔底反射的稀疏波到达空气与爆生气体接触面的时间要早。由此通过计算得到了在梯段爆破工程中合理的空气层长度比例值约为30 %～42 %。计算结论与已有实测成果基本一致。     

立井冻土掘进爆破技术的研究与应用

崩落爆破通常承担整个立井冻土掘进爆破40 %～60 %的破土量。宽孔距崩落爆破能够增加自由面的有效利用、增强自由面应力波的反射拉伸作用和消除或减小冻土中的应力降低区。在理论分析的基础上进行冻土爆破漏斗模型试验,综合考虑爆破漏斗体积和爆破后两炮眼间最大凸量,初步认为炮眼密集系数 =1.5左右时较为合理。结合立井崩落炮眼成圈弧形布置和冻土所受夹制作用相对较大的特点,建议应在此基础上适当降低立井冻土崩落爆破炮眼密集系数,这在进一步的工程实践中得到了验证。     

Prediction and controlling of flyrock in blasting operation using artificial neural network

Flyrock is one of the most hazardous events in blasting operation of surface mines. There are several empirical methods to predict flyrock. Low performance of such models is due to complexity of flyrock analysis. Existence of various effective parameters and their unknown relationships are the main reasons for inaccuracy of the empirical models. Presently, application of new approaches such as artificial intelligence is highly recommended. In this paper, an attempt has been made to predict and control flyrock in blasting operation of Sangan iron mine, Iran incorporating rock properties and blast design parameters using artificial neural network (ANN) method. A three-layer feedforward back-propagation neural network having 13 hidden neurons with nine input parameters and one output parameter were trained using 192 experimental blast datasets. It was also observed that in ascending order, blastability index, charge per delay, hole diameter, stemming length, powder factor are the most effective parameters on the flyrock. Reducing charge per delay caused significant reduction in the flyrock from 165 to 25 m in the Sangan iron mine.     

台阶压碴爆破效果遗传神经网络预测

应用遗传神经网络模型对台阶压碴爆破效果进行了预测,增强了预测结果的可靠性。遗传神经网络是人脑的模型,从爆破实例中获取经验知识,并应用专家知识对爆破效果进行预测,取得了符合实际的预测结果,从而,为选择爆破控制参数和取得良好的爆破效果提供了依据。     

超深孔一次成井微差爆破技术研究

起爆时差是超深孔一次成井爆破设计中的一个重要参数,合理设计起爆时差和起爆顺序,能够达到先起爆炮孔为后起爆炮孔创造良好自由面和补偿空间,实现筒状硐室分层、分段爆破的目的,并能降低围岩震动破坏。为合理选取起爆时差,基于超深孔微差爆破破岩机制,从理论上推导了一次成井预裂爆破延期时间,掏槽孔与相邻辅助孔、同分段辅助孔、相邻分段辅助孔的起爆时差等计算公式;同时提出了自下而上预裂爆破、先上下后中间光面爆破等6种一次成井起爆顺序。在华恒矿-650矸石仓,结合施工条件合理确定起爆时差等爆破参数,形成爆破设计方案。爆破过程中实现了分层、分段爆破,获得了良好的硐室成型,验证了形成的超深孔微差爆破技术是成功的,其结果对类似工程的实施具有一定的参考价值。     

铁路隧道近距离下穿楼房控制爆破试验研究

结合内水－昆明铁路盐津1号隧道下穿楼房的实际情况,借助试爆和振动监测手段,对铁路隧道近距离下穿楼房应采用的爆破方法进行了研究。结果表明,在现场进行爆破设计所得的爆破参数是合理的,有利于近接隧道工程的成功修建;近接地下工程的修建中,在重难点工程施工前,现场进行爆破试验和振动监测是确保工程成功修建的有效手段;干扰减振爆破技术有着巨大的利用空间,随着爆破技术及爆破器材的发展,在将来的控制爆破中将发挥不可估量的作用。     

堆浸法提金工艺技术操作与管理

堆浸法提金工艺普遍用来回收低品位金矿资源,该工艺具有投资小、规模大、操作简单等优点。本文在简述堆浸法提金工艺原理的基础上,对主注意事项进行了详细的归纳和总结,使之具有可操作性,对生产能起到一定的指导意义。     

The analysis of ground vibrations induced by bench blasting at Akyol quarry and practical blasting charts

Ground vibrations arising from excavation with blasting is one of the fundamental problems in the mining industry. Therefore, the prediction of ground vibration components plays an important role in the minimization of environmental complaints. In this study, 582 events were recorded during limestone production at a quarry (Akyol Quarry) during a period of time. The blasting parameters of these shots were also carefully recorded. During the statistical analysis of the collected data, three predictor equations proposed by the United States Bureau of Mines (USBM), Ambraseys–Hendron and Langefors–Kihlstrom were used to establish a relationship between peak particle velocity and scaled distance described by these prediction equations. As a result of this analysis, the most powerful relationship was determined and proposed to be used in this site. And also, this equation was used in the derivation of the practical blasting charts specific to this site as a practical way of predicting the peak particle velocity and maximum charge amount per delay for future blasting.     

用下降曲线估算废弃矿井煤层气资源量

国外的最新研究成果,认为废弃矿井的甲烷涌出速度对时间的曲线是一条双曲线,而通过对西安分院大量的煤层气钻孔煤心样的解吸数据的分析,发现甲烷的解吸速度与时间的曲线也是一条双曲线.用钻孔煤心现场解吸数据可以近似得到废弃矿井甲烷涌出速度对时间的下降曲线.对废弃矿井甲烷涌出速度对时间的曲线按时间积分到无穷大,可以得到计算时刻的废弃矿井资源量.     

Large scale blasting for the abutment of a bridge

Summary For the excavation of an abutment of a highway bridge a novel blasting technique, the so-called multilayer, multistage control blasting, with more free surfaces was adopted. As a result, the cost for the project was reduced by 23% and an undamaged slope of 82° was created. The key points of the technique are presented in this paper and applications to other cases are also shown.     

原地生成宇宙成因核素测年技术思考(二):持续抬升区单样品直接计算抬升速率方法

原地生成宇宙成因核素测年技术在计算暴露年龄和侵蚀速率时,一直默认样品所在位置不随时间发生高程变化,从而核素生成速率不因高程变化而改变。在构造稳定区,这样的假设是合理的。在构造活动区,往往会因构造运动,地表样品高程发生改变。大冰盖地区（如南极）的冰川消融或加厚也会引起地壳均衡反弹,从而导致样品高程变化,而核素的生成速率将随高程变化而改变。本文对连续抬升情况下,地表样品中宇宙成因核素浓度与生成速率加速率间的计算关系进行了三种方法的数学推导,并提出如何利用单块样品中两种宇宙成因核素（以10Be和26Al为例）浓度计算地表抬升速率,最后指出已往利用宇宙成因核素方法对构造活动区的侵蚀速率的计算存在高估。本文首次提出利用地表在接近稳态侵蚀状态下的单块样品的两种宇宙成因核素直接计算地表持续抬升速率的方法,从而将原地生成宇宙成因核素方法和构造运动学研究直接联系起来。