Towards an understanding of joint roughness
Towards an understanding of joint roughness
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DOI：
10.1007/bf01020062
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发表时间：
1995-04
影响因子：
6.2
通讯作者：
J. P. Seidel;C. Haberfield
中科院分区：
文献类型：
--
作者：
J. P. Seidel;C. Haberfield
有人认为，目前可用的节理模型不能准确地预测节理剪切行为，而不求助于大量的经验主义。这是因为这些模型未能充分量化节理粗糙度，或未能认识到尺度的重要性。描述了一种利用分形几何研究节理粗糙度的新方法。这种方法超越了描述粗糙的“症状”，并试图找到“原因”。在该方法的应用中，描述了分维几何、分维和自相似的概念，并以此为框架，建立了一个基于统计的、实用的岩石节理粗糙度表征模型。导出了分维与更有用的统计参数--粗糙度标准差和粗糙度高度之间的重要关系。这些关系不仅为量化节理粗糙度提供了一种有用的工作方法，而且也为理解Barton经验JRC-JCS模型提供了基础。此外，该模型还能够为正应力对节理剪切行为的影响以及节理的尺度依赖性提供概念性模型。
It is argued that the currently available joint models are incapable of accurate predictions of joint shear behaviour without resorting to substantial levels of empiricism. This is because these models fail to adequately quantify joint roughness, or appreciate the importance of scale. A novel approach, which uses fractal geometry to investigate joint roughness, is described. This approach goes beyond describing the “symptoms” of roughness and seeks to find the “cause”. In the application of this approach, the concepts of fractal geometry, fractal dimension and self similarity are described and used as a framework to formulate a statistically based and practical model for the characterisation of rock joint roughness. Important relationships between the fractal dimension and the more useful statistical parameters of standard deviation of both asperity angles and asperity heights are derived. These relationships not only provide a useful, working method for quantifying joint roughness, but are also shown to provide a basis for understanding the Barton empirical JRC-JCS model. In addition, the fractal model is able to provide conceptual models for the effects of normal stress on the shear behaviour of joints and the scale-dependence of joints.