基于钻孔随钻信息的爆破设计岩石系数确定方法
A Method for Determining Rock Coefficients Based on Drilling Borehole Information During Blasting Design
赵宇飞 1祁利 2王震洲 3姜岚 4曹瑞琅1
作者信息
- 1. 中国水利水电科学研究院,北京 100084
- 2. 国网湖北省电力有限公司经济技术研究院,湖北 武汉 440000
- 3. 国网经济技术研究院有限公司,北京 102218
- 4. 三峡大学 电气与新能源学院,湖北 宜昌 443000
- 折叠
摘要
为了通过智能感知技术实时感知待爆破岩体物理力学特性,自主研发了随钻系统,得到了爆破孔实时钻进信息.通过对采集数据的深入挖掘与分析,提出了表征岩体完整性以及岩块单轴抗压等力学指标的分析方法,构建了基于数字钻进随钻信息的岩石系数的取值图谱.在此基础上将基于爆破块度反算的岩石系数作为先验数据,利用Bayes理论,不断把现场爆破施工确定的岩石系数数据融合到先验分布中,获得岩石系数的后验分布.与传统的方法相比,提出的岩石系数确定方法更加智能准确,可以为下一阶段的岩体爆破参数进行优化设计.
Abstract
To perceive the physical and mechanical properties of the rock mass to be blasted in real-time through intelligent perception technology,a drilling system was independently developed to obtain real-time drilling information of the blasting hole.Through in-depth mining and analysis of collected da-ta,an analysis method was proposed to characterize the integrity of rock mass and mechanical indicators such as the uniaxial compressive strength of rock blocks.A value map of rock coefficient A based on digital drilling while drilling information was constructed.On this basis,the rock coefficient calculated based on blasting fragmentation will be used as prior data,and Bayes theory will be used to continuously fuse the rock coefficient data determined by on-site blasting construction into the prior distribution,ob-taining the posterior distribution of rock coefficients.Compared with traditional methods,the proposed rock coefficient determination method is more intelligent and accurate and can optimize the design of rock blasting parameters for the next stage.
关键词
数字钻进/爆破设计/岩石系数/Bayes理论/确定方法Key words
digital drilling/blasting design/rock coefficient/Bayes theory/determination method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据