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裂隙岩体渗透特性反演分析
引用本文:何吉,徐青,陈胜宏.裂隙岩体渗透特性反演分析[J].岩石力学与工程学报,2009,28(Z1):2730-2730.
作者姓名:何吉  徐青  陈胜宏
作者单位:武汉大学,水资源与水电工程科学国家重点实验室,湖北,武汉,430072
摘    要: 提出裂隙连通率与连通系数的近似转换方法;采用该转换方法,建立含单组裂隙岩体的等效渗透张量;基于有限单元法,建立一套单孔定向压水试验数值模拟方法,并进行大量数值试验;以数值试验结果作为BP神经网络的训练样本,结合定向压水试验实测资料,提出反演裂隙岩体渗透特性(等效渗透张量)的方法,并通过工程实例验证该方法的可靠性。

关 键 词:关键词岩石力学渗透张量反演分析压水试验裂隙岩体BP神经网络
收稿时间:2007-10-31
修稿时间:2008-1-21

BACK ANALYSIS OF PERMEABILITY OF FRACTURED ROCK
HE Ji,XU Qing,CHEN Shenghong.BACK ANALYSIS OF PERMEABILITY OF FRACTURED ROCK[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(Z1):2730-2730.
Authors:HE Ji  XU Qing  CHEN Shenghong
Abstract:The approximate relationship between connectivity ratio and connectivity coefficient of fractures in rock mass is proposed. The equivalent permeability tensor of rock mass,which has single set of fractures,is deduced. The finite element method to analyze single-hole directional water pressure test is established,and a series of numerical tests are carried out. The numerical test results are used as train samples for BP neural network. The trained BP neural network combined with the information of single-hole directional water pressure test forms the methodology for the back analysis of the equivalent permeability tensor. The reliability of the method is verified by engineering example.
Keywords:Key words:rock mechanics  permeability tensor  back analysis  water pressure test  fractured rock  BP neural network
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