A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
New roughness parameters for 3D roughness of rock joints
Abstract To clearly portray the mechanical behavior of the shear process and to relate three-dimensional surface morphology to the shear strength of rock joints, we propose a new method, the equivalent height difference system, which can reflect that different geometric parameters of the asperities contribute differently to shear strength. A roughness parameter, the average equivalent height difference (AHD), is obtained by averaging the equivalent height difference in the shear direction, which can reflect the fluctuation and directivity of the joint surface morphology. The values of AHD at different sampling intervals were studied. The relationship between AHD values and sampling intervals is power law. Another roughness parameter, fractal dimension (DAHD), was proposed based on the fractal component, which characterizes the relationship of roughness at different scales and describes the roughness comprehensively from the point of view of scale. We used these two newly proposed roughness parameters to characterize the roughness of five joint surfaces. The results show that the new method can well reflect the three-dimensional morphology of the joint and describe the anisotropy of roughness, and it can also overcome the influence of the sampling interval.
New roughness parameters for 3D roughness of rock joints
Abstract To clearly portray the mechanical behavior of the shear process and to relate three-dimensional surface morphology to the shear strength of rock joints, we propose a new method, the equivalent height difference system, which can reflect that different geometric parameters of the asperities contribute differently to shear strength. A roughness parameter, the average equivalent height difference (AHD), is obtained by averaging the equivalent height difference in the shear direction, which can reflect the fluctuation and directivity of the joint surface morphology. The values of AHD at different sampling intervals were studied. The relationship between AHD values and sampling intervals is power law. Another roughness parameter, fractal dimension (DAHD), was proposed based on the fractal component, which characterizes the relationship of roughness at different scales and describes the roughness comprehensively from the point of view of scale. We used these two newly proposed roughness parameters to characterize the roughness of five joint surfaces. The results show that the new method can well reflect the three-dimensional morphology of the joint and describe the anisotropy of roughness, and it can also overcome the influence of the sampling interval.
New roughness parameters for 3D roughness of rock joints
Ban, Liren (author) / Zhu, Chun (author) / Qi, Chengzhi (author) / Tao, Zhigang (author)
2018
Article (Journal)
English
New roughness parameters for 3D roughness of rock joints
| Online Contents | 2018
Underestimation of roughness in rough rock joints
| British Library Online Contents | 2008
Heterogeneity and anisotropy of roughness of rock joints
| British Library Conference Proceedings | 2001
Scale dependency of roughness and stationarity of rock joints
| British Library Conference Proceedings | 1999