基于蒙特卡罗模拟的隧道爆破参数优化方法

作者：朱杰

作者简介：

朱杰，工程师，硕士，E⁃mail: dudule08@ 163. com

作者单位：

中铁十八局集团第三工程有限公司，河北涿州 072750

基金项目：

∗中国铁建股份有限公司 2022 年度科技研究开发计划及资助课题（2022⁃C1）；中铁十八局集团有限公司 2022 年度科研创新项目（C2022⁃051）

摘要：

近年来隧道工程中已引入计算机控制凿岩台车实施爆破开挖。提出一种基于蒙特卡罗模拟的爆破参数优化方法并针对昂思多隧道爆破施工设计进行了应用，以提升计算机控制台车的应用效能。该方法涵盖钻孔数据解析、爆破方案布设设计，以及应用蒙特卡罗模拟确定最优装药量。结果表明，依据钻孔数据生成的轮廓面可优化炮孔定位、孔网数量及装药量，从而提升爆破作业效率。

关键词：隧道；爆破；参数优化；蒙特卡罗方法；数值模拟；施工技术

English：

In recent years, computer⁃controlled rock drilling rigs are introduced into tunnel engineering tocarry out blasting and excavation. In this paper, a blasting parameter optimization method based onMonte Carlo simulation is proposed, and the blasting construction design of Angsiduo Tunnel is applied toimprove the application efficiency of the computer⁃controlled vehicle. The method includes borehole dataanalysis, blasting scheme layout design, and Monte Carlo simulation to determine the optimal charge.The results show that the contour surface generated according to the drilling data can optimize thepositioning of the blast hole, the number of holes and the amount of charge, so as to improve theefficiency of blasting operation.

[1]	张镜剑，傅冰骏。隧道掘进机在我国应用的进展【 J].岩石力学与工程学报，2007,26（2）：226⁃238.ZHANG J J, FU B J. Advances in tunnel boring machineapplication in China[J]. Chinese journal of rock mechanics andengineering,2007,26（2）：226⁃238.
[2]	杨年华，张志毅，邓志勇，等。硬岩隧道快速掘进的钻爆技术[J].工程爆破，2003,9（1）：16⁃21. YANG N H,ZHANG Z Y,DENG Z Y,et al. Drilling⁃and⁃blastingtechnology for rapid excavation of hard⁃rock tunnels [ J ].Engineering blasting,2003,9（1）：16⁃21.
[3]	杨年华，张志毅，邓志勇，等。硬岩隧道快速掘进的钻爆技术[J].工程爆破，2003,9（1）：16⁃21. YANG N H,ZHANG Z Y,DENG Z Y,et al. Drilling⁃and⁃blastingtechnology for rapid excavation of hard⁃rock tunnels [ J ].Engineering blasting,2003,9（1）：16⁃21.
[4]	邹宝平，杨建辉，王建秀，等。基于灰色理论与 BP 神经网络的特长瓦斯隧道爆破参数优选 [ J].铁道标准设计， 2015,59（8）：131⁃136.ZOU B P,YANG J H,WANG J X,et al. Optimal prediction ofblasting parameters for extra⁃long gas tunnel based on grey theoryand BP neural network [ J ]. Railway standard design, 2015,59（8）：131⁃136.
[5]	YILMAZ O,UNLU T. An application of the modified Holmberg⁃Persson approach for tunnel blasting design[ J]. Tunnelling andunderground space technology,2014,43:113⁃122.
[6]	魏继红，孙少锐，彭建忠，等。高速公路连拱隧道超挖预测及评价研究 [ J ].岩石力学与工程学报， 2006, 25（S1）：3324⁃3329.WEI J H,SUN S R,PENG J Z,et al. Study on overexcavationprediction and evaluation of expressway multi⁃arch tunnel [ J].Chinese journal of rock mechanics and engineering, 2006,25（S1）：3324⁃3329.
[7]	MOHAMMADNEJAD M,GHOLAMI R, SERESHKI F, et al. Anew methodology to predict backbreak in blasting operation[ J].International journal of rock mechanics and mining sciences,2013,60:75⁃81.
[8]	SAGHATFOROUSH A,MONJEZI M,SHIRANI FARADONBEH R,et al. Combination of neural network and ant colony optimizationalgorithms for prediction and optimization of flyrock and back⁃break induced by blasting [ J ]. Engineering with computers,2016,32（2）：255⁃266.
[9]	柯庆辉。隧道爆破施工对周围建（构）筑物损伤分析及危害控制研究【D].长沙：中南大学，2012.KE Q H. Study on control and analysis for damage of surroundingstructures under blasting of tunnel[D]. Changsha:Central SouthUniversity,2012.
[10]	HU Y G,LU W B,CHEN M,et al. Comparison of blast⁃induceddamage between presplit and smooth blasting of high rock slope[ J ]. Rock mechanics and rock engineering, 2014, 47（4）：1307⁃1320.
[11]	YAN P,LU W B,CHEN M,et al. Contributions of in situ stresstransient redistribution to blasting excavation damage zone of deeptunnels[J]. Rock mechanics and rock engineering,2015,48（2）：715⁃726.
[12]	张在晨，林从谋，黄志波，等。隧道爆破近区振动的预测方法[J].爆炸与冲击，2014,34（3）：367⁃372.ZHANG Z C,LIN C M,HUANG Z B,et al. Prediction of blastingvibration of area near tunnel blasting source[ J]. Explosion andshock waves,2014,34（3）：367⁃372.
[13]	ÁLVAREZ⁃VIGIL A E, GONZÁLEZ⁃NICIEZA C,LÓPEZ GAYARRE F, et al. Predicting blasting propagationvelocity and vibration frequency using artificial neural networks[ J ]. International journal of rock mechanics and miningsciences,2012,55:108⁃116.
[14]	LI J C,LI H B,MA G W,et al. Assessment of underground tunnelstability to adjacent tunnel explosion [ J ]. Tunnelling andunderground space technology,2013,35:227⁃234.
[15]	LIU L,LI S J,ZHENG M Z,et al. Inverting the rock mass P⁃wavevelocity field ahead of deep buried tunnel face while boreholedrilling [ J ]. International journal of mining science andtechnology,2024,34（5）：681⁃697.
[16]	罗勇，崔晓荣。工程爆破中装药不耦合系数的研究【 J].有色金属（矿山部分），2008,60（4）：39⁃43.LUO Y,CUI X R. Study on the decoupling charging coefficient inengineering blasting [ J]. Nonferrous metals （ mining section），2008,60（4）：39⁃43.

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