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洪陈杰, 翁寒倩, 王凯, 黄曼, 陶志刚, 杜时贵. 岩石结构面Grasselli二维粗糙度指标优化及其JRC估算[J]. 岩土工程学报. DOI: 10.11779/CJGE20230099
引用本文: 洪陈杰, 翁寒倩, 王凯, 黄曼, 陶志刚, 杜时贵. 岩石结构面Grasselli二维粗糙度指标优化及其JRC估算[J]. 岩土工程学报. DOI: 10.11779/CJGE20230099
Updates to the Grasselli’s 2D morphology parameter for estimating the JRC of rock joint[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20230099
Citation: Updates to the Grasselli’s 2D morphology parameter for estimating the JRC of rock joint[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20230099

岩石结构面Grasselli二维粗糙度指标优化及其JRC估算

Updates to the Grasselli’s 2D morphology parameter for estimating the JRC of rock joint

  • 摘要: 采用只考虑迎剪侧表观倾角而忽略内部起伏角的Grasselli二维形貌参数θG来估算结构面粗糙度系数JRC仍有待改进。从θG的物理意义出发,发现爬坡区内部凸起高度对粗糙度的贡献可以表示为其在总爬坡水平距离上的坡角,所有爬坡区提供的坡角之和定义为结构面内部起伏粗糙贡献,将节理面迎剪侧表观平均倾角θG和爬坡区内部平均坡角θH叠加,提出岩石结构面粗糙度新指标θC。通过获取十条标准JRC剖面线的θC,分析其与JRC之间的关系,建立基于θC的JRC估算式。计算不同采样间距和不同采样方向下的新指标θC,结果显示θC具有分形特征且能够反映结构面形貌各向异性。进一步将JRC估算式应用于JRC-JCS模型,通过对比已有研究得到的试验结果以及不同抗剪强度模型的预测效果,验证基于新指标θC估算的JRC可以准确预测结构面峰值抗剪强度。最后,对二维新指标θC进行三维拓展,提出三维粗糙度新指标(θC)3D,并通过结构面形貌各向异性表征验证了其合理性。

     

    Abstract: The Grasselli’s 2D morphology parameter θG used to estimate the joint roughness coefficient (JRC) is questionable, because it only considers the apparent inclination of the shear side and ignores the internal undulation angle. From the physical meaning of θG, it is found that the contribution of internal bulge height in the climbing area to surface roughness can be expressed as the slope angle at the total climbing horizontal distance. The sum of the slope angles provided by all climbing areas is defined as the roughness of joint internal undulating. The apparent average inclination angle θG and the internal average slope angle θH are superimposed to propose a new roughness parameter θC for rock joint. The θC of ten standard JRC profiles is obtained, and its relationship to JRC is then analyzed to establish JRC estimation formula based on ?C. The proposed parameter θC under different sampling intervals and different sampling directions is calculated. Results show that θC has fractal characteristics and can reflect the anisotropy of joint surface morphology. Further, the JRC estimation formula is applied to the JRC-JCS model. By comparing the experimental results obtained from the existing research and the prediction results under different shear strength models, it is verified that the estimated JRC based on θC can accurately predict the joint peak shear strength. Finally, the new parameter θC is extended to 3D form, and a 3D roughness parameter (θC)3D is proposed to capture the anisotropic characteristics of joint morphology.

     

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