GE Yun-feng, CHEN Yong, WANG Liang-qing, et al. Estimation of 3D joint matching coefficient of rock discontinuities using point cloud data alignment technology[J]. 2017, 38(11): 3385-3393.
GE Yun-feng, CHEN Yong, WANG Liang-qing, et al. Estimation of 3D joint matching coefficient of rock discontinuities using point cloud data alignment technology[J]. 2017, 38(11): 3385-3393.DOI: 10.16285/j.rsm.2017.11.039.
the point cloud alignment algorithm was employed to calculate 3D joint matching coefficient (JMC3D) in this study. Firstly
3D laser scanning technology was used to collect point clouds of rock discontinuities
including upper and lower joints. Then point clouds from both reference surface and testing surface of rock discontinuities were registered into the same global coordinate system
based on the iterative closest points (ICP) algorithm. Moreover
the corresponding Z-coordinate difference between the aligned testing surface and the reference surface was calculated. These point clouds
with Z differences in the range of alignment errors
were regarded as the matching portions. Finally
the percentage of matching portions was calculated to represent the parameter of JMC3D. The comparison of shear strength results obtained from direct shear tests in the laboratory and JRC-JMC model was conducted to clarify the reliability of the proposed method. The relative errors of four joint specimens were 7.38%
3.21%
9.03%
and 10.02% respectively
which indicated that the presented calculation of JMC3D was characterized by high feasibility and good performance. Meanwhile
this study revealed that there was a close relationship between the parameter of JMC3D and shear strength of rock discontinuities.