Analysis on Parameter Correlation of Joint Surface Morphologyand Study on Quantitative Classification of Roughness

FU Jianxin, S0NG Beidong, TAN Yuye


 Taking the rock nature joint surface as the research object, the morphology of joint surface was measured and 3D shape of the joint surface was established. On the basis of this, five parameters were calculated and the correlation between parameters was studied taking the root mean square value(RMS) as benchmark. Selecting three morphology parameters, the method of fuzzy mathematics was used to quantify the roughness of joint surface, and the roughness was classified. Meanwhile, the correlation between the morphology parameter and roughness index was studied. The results show that the average height of the central line is proportional to its RMS. The relation among the ratio of kurtosis coefficient, skewness coefficient, micro convex angle and RMS of mean height of centerline is power functions. The results of quantitative classification of roughness show that the quantitative classification index and friction coefficient and friction angle have obvious positive proportional linear relationship. It can be used for the estimation of joint surface friction. The relation among the ratio of friction coefficient, friction angle, the quantitative classification index and RMS of mean height of centerline is also power functions. Through the quantitative function relationship between the parameters, the correlation coefficient can be obtained, and then the estimation of surface roughness and friction force of the joints can be realized.



Keywords: rock-fracture,  3-D morphology,  root mean square,  roughness,  quantitative classification

Full Text:



XIA C C, SUN Z Q. Engineering roср joint mechanical [ M]. Shangkai:Tongji University Press,2002:1—5 (In Chinese)

BARTON N R. Review of a new shear strength criterion for roch joints J]. Engineering Geology, 1973, 7 (4):287—332.

PARTON F D. Multiple models of chear failure in rock [C]//Pro– seedings of the 1st Congress International Society of Rock Mechanics.Lisbon:National Laboratory of Civil Engineering, 1966 :509— 513.

GOODMAN R E. Methods of geological engineering in discontinuous rock [M]. St.Paul:Best Publisking Company,1976:14—57.

DENG H F, XIAO Y,LI J L, et al. Degradation laws of joint strength and misro–morphology under repeated shear tests [J]. Chinese Journal of Geotecknical Engineering, 2018, 40 (S2):183— 188 (In Chinese)

XIA C C, SUN Z Q. RSP–1 type intelligent profiterole of rock curfase [J]. Journal of Hydraulic Engineering, 1995, 5 (6):62—66 (In Chinese)

XIA C C, BANG B, DING Z Z. Development of three dimensional TJXB –3D typed portable rock surface topography [J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27 (7):1505— 1512 (In Chinese)

CAO P, LUO L, LIU T Y, et al. Analysis of the fractal and sample size effects the rock joint surface roughness [J]. Science and Technology Review, 2011, 29 (24) :57—61 (In Chinese)

JIANG Q, FENG X T, GONG Y H, et al. Reverse modelling of natural rock joints using 3D scanning and 3D printing [J]. Computers and Geotechnics, 2016,73:210—220.

MAH J, SAMSON C, MCDINNON S D, et al. 3D laser imaging for surface roughness analysis [J]. International Journal of Rock Mechanics and Mining Sciences, 2013, 58 :111—117.

ZHANG G C, KARADUS M, TANG H M, et al. A new method estimating the 2D joint roughness sentient for discontinuity surfaces in rock masses [J]. International Journal of Rock Mechanics and Mining Sciences, 2014, 72:191—198.

BANG C S, BANG L Q, GE Y F, et al. A nonlinear method for determining two –dimensional joint roughness coefficient based on statistical parameters [J]. Rock and Soil Mechanics, 2017, 38 (2): 565—573 (In Chinese)


  • There are currently no refbacks.