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作 者:陈起建 CHEN Qi-jian(China Railway 11th Bureau Group Construction and Installation Engineering Co.,Ltd.,Wuhan 430064,China)
机构地区:[1]中铁十一局集团建筑安装工程有限公司,武汉430064
出 处:《工程爆破》2023年第4期78-86,共9页Engineering Blasting
基 金:高速铁路山岭隧道智能化建造技术研究基金资助项目(K2018G014)。
摘 要:为了更准确预测隧道爆破岩体块度分布,以天江里隧道为研究对象,将掌子面划分为掏槽区、崩落区、轮廓区与底孔区4个区域。分别采用Kuz-Ram模型与Swebrec模型对岩体爆破碎片的块度分布进行预测,并将预测结果与实测结果进行对比。结果表明:2种模型的预测结果均表明掏槽区是产生爆破细颗粒最多的区域,而崩落区是产生粗颗粒最大的区域;隧道掌子面4个区域的岩体爆破碎片大小平均值在8~9 cm之间,50 cm以下的爆破碎片占到整个爆破岩堆的90%以上,1 cm以下的爆破颗粒占整个爆破岩堆的20%以下,达到了较好的爆破效果;Kuz-Ram模型会低估爆破碎片中细颗粒的含量,对碎石和块石含量的预测则更加准确;Swebrec模型克服了Kuz-Ram模型的不足,其整体预测结果与实测结果更加吻合。采用相同的研究方法,对双庙子隧道爆破碎片进行分析,验证了结论模型的可重复性,表明Swebrec模型是一种适用的岩体爆破块度预测模型。In order to more accurately predict the fragmentation of tunnel blasting rock mass,taking the Tianjiangli tunnel as the research project,the tunnel face is divided into 4 areas:cutting area,caving area,contour area and bottom outlet area.Kuz-Ram model and Swebrec model are used to predict the fragmentation distribution of rock blasting debris respectively,and the predicted results are compared with the measured results.The following conclusions are drawn:the predicted results of the two models show that the cutting area produces the most blasting fine particles,while the caving area produces the most coarse particles;The average size of rock blasting debris in the four areas of the tunnel face is between 8-9 cm,the blasting debris below 50 cm accounts for more than 90%of the whole blasting rock pile,and the blasting particles below 1cm account for less than 20% of the whole blasting rock pile,achieving a good blasting effect;Kuz-Ram model will underestimate the content of fine particles in blasting debris,and predict the content of gravel and block stone more accurately;Swebrec model overcomes the shortcomings of Kuz-Ram model,and its overall prediction results are more consistent with the measured results.Using the same research method,the blasting debris of Shuangmiaozi tunnel is analyzed,and the repeatability of conclusion is verified,which shows that swebrec model is a suitable prediction model of rock blasting fragmentation.
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