| 基于概率模型的随机裂隙优势产状取值 |
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| 引用本文： | 隆振锐,许模,张翔,刘梦君. 基于概率模型的随机裂隙优势产状取值[J]. 南水北调与水利科技（中英文）, 2012, 10(1): 121-124 |
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| 作者姓名： | 隆振锐 许模 张翔 刘梦君 |
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| 作者单位： | 成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都,610059 |
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| 基金项目： | 地质灾害防治与地质环境保护国家重点实验室开放基金“高拱坝坝肩岩体抗滑稳定性工程地质研究”(SKLGP2012K032) |
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| 摘 要： | 随机裂隙是广泛存在于岩体中的一种规模较小的结构面,由于其发育的随机性,故其产状、规模等结构面性质难于确定。但是,大量研究表明,同一地区相同地质环境下发育的随机裂隙,其结构面性质存在一定的统计规律。利用建立概率模型的方法,对某花岗岩地区水电站左岸坝基随机裂隙组的优势产状取值进行了探讨。通过建立概率模型所绘制出的概率曲线进行研究发现,相对于简单的求样本的算数平均值,取概率曲线峰值点所对应的数值为一组裂隙最佳产状更为合理。
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| 关 键 词： | 概率模型 概率曲线 结构面的优势方位 直方图 正态分布 对数正态分布 Kolmogorov-Smirnov检验 |
Discussion of Values of Dominant Orientations of Random Fractures based on Probability Models |
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| LONG Zhen-Rui , XU Mo , ZHANG Xiang , LIU Meng-Jun. Discussion of Values of Dominant Orientations of Random Fractures based on Probability Models[J]. South-to-North Water Transfers and Water Science & Technology, 2012, 10(1): 121-124 |
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| Authors: | LONG Zhen-Rui XU Mo ZHANG Xiang LIU Meng-Jun |
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| Affiliation: | (National Laboratory of Geohazards Prevention and Geo-Environment Protection,Chengdu University of Technology,Chengdu 610059,China) |
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| Abstract: | Random fracture is a small size structure plane and occurs widely in the rock mass.Due to its random development,the orientation and size of the random fracture are difficult to determine.However,previous research showed that the structure plane of the random fracture has a certain statistical rule under the same geological environment in the same region.The probability model is used to evaluate the values of the dominant orientations of the random fracture group at the left bank of the dam of the hydropower station located in the granite area.According to the analysis of the probability curve obtained from the established probability model,the peak value on the probability curve is more reasonable to represent the best fracture orientation than the arithmetic mean of the samples. |
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| Keywords: | probability model probability curve dominant orientation of random fractures histogram normal distribution log-normal distribution Kolmogorov-Smirnov test |
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