随机块体统计分析对于深入认识随机块体发育特征，定量分析块体系统支护参数具有重要意义。在随机块体几何搜索分析结果的基础上，对随机块体大小及平均大小等的统计分布规律进行研究。结果表明：块体大小满足负指数分布规律，块体平均大小及覆盖率满足分布。在随机块体统计分析结果基础上，提出了确定块体系统支护设计参数的分析思路，例如根据块体埋深的分布规律，通过可靠度思想，可以确定锚杆长度。研究成果揭示了随机块体的统计分布规律，并为随机结构面切割下的块体支护分析探索了一个新的方法。
Abstract
Statistical analysis of stochastic block is of great significance in understanding the characteristics of stochastic block development and the determination of quantitative support parameters for the block. On the basis of the results of geometrical identification of stochastic block, we studied the statistical distribution regularity of block size and average size. Analysis results indicate that the block size is consistent with negative exponential distribution, while the average size and coverage follow Γ distribution. Furthermore, the determination of parameters for block support design is discussed, for example, according to the distribution regularity of block’s burial depth, the length of rock bolt can be determined based on the reliability theorem. This research reveals the statistical distribution law of stochastic blocks and provides a new approach for rock block support analysis in the presence of stochastic discontinuity cutting.
关键词
随机块体 /
随机块体搜索 /
块体统计分析 /
块体分布规律 /
块体支护
Key words
stochastic block /
identification of stochastic block /
statistical analysis of block /
law of block distribution /
rock block support
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参考文献
[1]GB50218—94,工程岩体分级标准[S]. 北京;中国计划出版社,1994.(GB50218—94,Standard of Classification of Engineering Rock[S]. Beijing; China Planning Press,1994.(in Chinese)
[2] GOODMAN R E,SHI G H. Block Theory and Its Application to Rock Engineering [M]. Englewood Cliffs,New Jersey; Prentice-Hall Inc. 1985.
[3] SHAPIRO A,DELPORT J L. Statistical Analysis of Jointed Rock Data[J]. International Journal of Rock Mechanics and Mining Sciences,1991,28(5); 375-382.
[4] MAULDON M. Key Block Probabilities and Size Distributions; A First Model for Impersistent 2-D Fractures[J]. International Journal of Rock Mechanics and Mining Sciences,1995,32(6); 575-583.
[5] KUSZMAUL J S. Estimating Key Block Sizes in Underground Excavations; Accounting for Joint Set Spacing[J]. International Journal of Rock Mechanics and Mining Sciences,1999,(36); 217-232.
[6] 邬爱清,任 放,郭 玉. 节理岩体开挖面上块体随机分布及锚固方式研究[J]. raybet体育在线
院报,1991,8(4); 27-34.(WU Ai-qing,REN Fang,GUO Yu. A Study on Block Random Distribution and Anchor Design for Joint Rock Excavation[J]. Journal of Yangtze River Scientific Research Institute,1991,8(4); 27-34. (in Chinese)
[7] 邬爱清,周火明,任 放. 岩体三维网络模拟技术及其在三峡工程中的应用[J]. raybet体育在线
院报,1998,15(6); 15-18.(WU Ai-qing,ZHOU Huo-ming,REN Fang. Research on 3-D Rock Joint Network Simulation Techniques and Its Application to TGP[J]. Journal of Yangtze River Scientific Research Institute,1998,15(6); 15-18.(in Chinese)
[8] 陈剑平,卢 波,王良奎,等. 复杂不稳定块体的自动搜索及其失稳方式判断——基于随机不连续面三维网络模型[J]. 岩石力学与工程学报,2003,22(7); 1126-1131.(CHEN Jian-ping,LU Bo,WANG Liang-kui,et al. Automatic Search for Complex Unstable Rock Blocks and the Judgment of Unstability Mode; Based on 3D Network Simulation of Random Fractures[J]. Chinese Journal of Rock Mechanics and Engineering,2003,22(7); 1126-1131.(in Chinese)
[9] 邬爱清,张奇华. 岩石块体理论中三维随机块体几何搜索[J]. 水利学报,2005,36(4); 426-432.(WU Ai-qing,ZHANG Qi-hua. Geometric Identification of Stochastic Block in Block Theory[J]. Journal of Hydraulic Engineering,2005,36(4); 426-432.(in Chinese)
[10]张奇华. 岩体块体理论的应用基础研究[M]. 武汉;湖北科学技术出版社,2010.(ZHANG Qi-hua. Basic Research on the Application of Rock Block Theory[M]. Wuhan; Hubei Science and Technology Press,2010.(in Chinese)
[11]HATZOR Y H,FEINTUCH A. The Joint Intersection Probability[J]. International Journal of Rock Mechanics and Mining Sciences,2005,42(4); 531-541.
[12]GOODMAN R E. Thirty-fifth Rankine Lecture; Block Theory and Its Application[J]. Geotechnique,1995,45(3); 383-423.
[13]KULATILAKE P H S W,WATHUGALA D N,STEPHANSSON O. Joint Network Modeling with A Validation Exercise in Stripa Mine,Sweden[J]. International Journal of Rock Mechanics and Mining Sciences,1993,30(5); 503-526.
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