Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Geomechanics and Engineering Volume 42, Number 2, July25 2025 , pages 107-116 DOI: https://doi.org/10.12989/gae.2025.42.2.107 |
|
|
|
Kriging interpolation-based RQD prediction and engineering modeling of mineral deposits: A case study |
||
Xingdong Zhao, Lei Deng and Ye Bai
|
||
| Abstract | ||
| Rock Quality Designation (RQD) is an important index for assessing rock mass integrity. In this paper, the RQD of geological cores drilled from geological exploration boreholes of Qinglonggou Mine is used as the basic data to analyze spatial correlations of discrete RQD borehole data through statistical methods. The mean RQD profile method was used to test the smoothness of RQD(x). The normal score method was applied to transform the original RQD(x) data into a standard Gaussian distribution function to reduce the difference between the extremes of the original RQD(x) and to reduce the heteroskedasticity of the RQD. A semi-variogram model was established to characterize RQD(x) spatial structure in the 323-South section. Kriging interpolation method was used for RQD interpolation prediction, based on which a three-dimensional RQD model was constructed for 323-South mine section. The RQD prediction and modeling results of the 323-South section show that the spatial variability characteristics of the RQD of the 323-South section are positively correlated with the fault structure, lithology and weathering conditions. | ||
| Key Words | ||
| geological hazard modeling; geostatistics; rock mass quality prediction; RQD; spatial variability | ||
| Address | ||
| Xingdong Zhao, Lei Deng and Ye Bai: School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, Liaoning, China | ||