Study on the morphology description method of borehole wall profile line and its application based on borehole camera technology
WANG Yiteng1，WANG Chuanying1，ZOU Xianjian1，HAN Zengqiang1，2，WANG Chao1，2，HU Sheng1
(1. State Key Laboratory of Geomechanics and Geotechnical Engineering，Institute of Rock and Soil Mechanics，Chinese Academy of Sciences，Wuhan，Hubei 430071，China；2. University of Chinese Academy of Sciences，Beijing 100049，China)
Abstract：In the process of engineering investigation of rock mass，it is of great significance to obtain precise rock structural plane properties for rational design of the project and prevention of geological disasters during construction. In order to obtain the morphology characteristics of deep rock mass，a profile line description method of borehole wall is developed based on digital borehole camera technology. Firstly，based on the plane expansion map of borehole wall，the profile line of structural plane is extracted from the plane expansion map of borehole wall by digital image processing technology，and the occurrence of rock structural plane on borehole wall is analyzed. Then，the feature parameters of the profile in each direction are calculated and counted，and the feature parameters′s distribution is used to describe the morphology characteristics of structure plane′s surface. Finally，according to the distribution of the feature parameters，the mechanical properties of the structural plane′s surface are analyzed，and the rose diagram of roughness coefficient is formed. The results show that the morphological description method can reflect the anisotropy of JRC in rock structural plane，and solve the problem that the structural′s morphology features of the deep rock mass are difficult to obtain.
王益腾1，王川婴1，邹先坚1，韩增强1，2，王 超1，2，胡 胜1. 基于钻孔摄像技术的孔壁剖面线形貌特征描述方法及其应用研究[J]. 岩石力学与工程学报, 2020, 39(S2): 3412-3420.
WANG Yiteng1，WANG Chuanying1，ZOU Xianjian1，HAN Zengqiang1，2，WANG Chao1，2，HU Sheng1. Study on the morphology description method of borehole wall profile line and its application based on borehole camera technology. , 2020, 39(S2): 3412-3420.
2020, Vol. 39 
