REVIEW OF RESEARCH PROGRESSES OF THE QUANTIFYING JOINT ROUGHNESS COEFFICIENT
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摘要: 1978年，Barton提出的节理粗糙度系数（joint roughness coefficient，JRC）被国际岩石力学学会作为评估节理粗糙度的标准方法.然而该方法存在人为估值的主观性缺陷.就此，国内外学者围绕岩体结构面粗糙度定量化表征开展了大量的研究工作.首先，从二维节理轮廓线到三维岩体结构面，系统地阐述了其粗糙度定量化表征方法研究进展，并总结了各方法参数与JRC的关系；评价了各表征参数的本质特性及其适用性；指出了各方法参数获取过程中存在的问题，主要有：采样间隔的影响，三角形单元划分的影响，如何确定综合参数法中各参数的权重；针对这些问题，给出了笔者的一些想法、建议.与此同时，对结构面粗糙度表征的两个热点问题，即各向异性和尺寸效应的研究也进行了详细总结分析.最后，笔者认为：（1）分形维数因是描述自然界复杂几何体的一种简洁有力的工具，其仍是结构面粗糙度定量描述的有效方法；（2）3D打印技术的应用，有望在开展结构面各向异性、尺寸效应研究方面取得突破性进展.Abstract: The joint roughness coefficient (JRC) method was suggested by International Society for Rock Mechanics to estimate joint roughness in 1978. Although this method is widely used in engineering practices, there is a shortcoming of subjectivity and experience relied on investigator. So, the research works about quantifying joint roughness were developed by authors in the world. In this article, firstly, we introduced the research progress about quantitative characterization on both joint profiles and discontinuities roughness, and summarized the results of relationship between the parameters and JRC. Secondly, we evaluated the essential properties and applicability of each parameter, pointed out the problems about the parameters in obtained process including sampling interval influence, deciding triangulation of an elementary surface and determining the weight of each parameter in the comprehensive parameters method. At the same time, we gave the author's ideas of solving the problems. In addition, we discussed anisotropy and size effect of surface roughness in detail, on which are focused by researchers. Finally, we predict that fractal dimension remain a method to describe surface roughness and 3D printing technology can be helpful to research anisotropy and size effect of rock discontinuities roughness.
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Key words:
- rock mechanics /
- rock discontinuities /
- joint roughness /
- research progress
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图 11 (a) 幅值相同，起伏角不同的两结构面；(b) 起伏角相同，幅值不同的两结构面
Figure 11. (a) Different joint surfaces with the same amplitude; (b) Differentjoint surfaces with the same inclination angle
图 12 三角形法的另一种形式
Figure 12. Triangulation of an elementary surface (another possibility)
表 2 参数$R_{\rm {p}}$和 ($R_{\rm {p}}-1$) 与$JRC$的函数关系式[9]
Table 2. The relationship between the parameters $R_{\rm{p}}$, ($R_{\rm{p}} -1$) and $JRC$[9]
表 3 $JRC$与分形维数$D$研究成果汇总表
Table 3. Results summary about quantifying joint roughness by fractal dimension
表 4 不同采样间隔下，$Z_{2}$，$SF$与$JRC$的回归方程[9]
Table 4. Regression equations of different sampling intervals[9]
表 5 不同采样间隔下，参数$a$，$b$，$c$对应值[52]
Table 5. Relationships between the $JRC$ values and roughness parameters, determined at different samplingintervals[52]
表 6 不同采样间隔下，$R_{p}$与$JRC$的回归方程
Table 6. Regression equations of different sampling intervals
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