A quantitative description of fracture surface morphology is crucial but cumbersome. Surface morphology influences important rock joint behavior, such as shear strength, fluid flow, contaminant transport and heat transfer. And while there are many suggestions and comparisons of roughness parameters, those are usually not considered in models and experiments dealing with surface roughness. This makes those experiments and simulations difficult to reproduce and compare. Here, we present a MATLAB toolbox called FSAT to calculate the most common roughness parameters. FSAT provides scientists with an easy and accessible method to quantitatively describe the surface and aperture characteristics of any given fracture independent of its geometrical dimension. Using FSAT, we investigate differences and similarities between roughness parameters that split a surface in profiles to surface measures that address triangulation based surfaces. For this, we split 10 samples of two types of sandstone, scanned their surfaces and determined their hydraulic aperture using Darcy tests. While surface measures are very sensitive to different rock types and allow a good separation between samples, profile parameters quantify more distinct features of the surface, allow analysis of anisotropy and give an overview about a surfaces heterogeneity by their statistical variation across a surface.

定量描述骨折表面形态至关重要，但麻烦。表面形态会影响重要的岩石节理行为，例如抗剪强度，流体流动，污染物迁移和传热。虽然有很多建议和粗糙度参数的比较，但是在处理表面粗糙度的模型和实验中通常不考虑这些建议和比较。这使得那些实验和模拟难以再现和比较。在这里，我们介绍了一个名为FSAT的MATLAB工具箱，用于计算最常见的粗糙度参数。FSAT为科学家提供了一种简便易行的方法，可以定量描述任何给定裂缝的表面和孔径特性，而与几何尺寸无关。使用FSAT，我们研究了粗糙度参数之间的差异和相似性，这些粗糙度参数将轮廓中的一个表面拆分为处理基于三角剖分的表面的表面度量。为此，我们将10种两种类型的砂岩样品分开，扫描了它们的表面，并使用Darcy测试确定了它们的水力孔径。尽管表面测量对不同的岩石类型非常敏感，并且可以在样品之间进行良好的分离，但是轮廓参数可以量化表面的更多不同特征，可以进行各向异性分析，并通过其在整个表面上的统计差异来概述表面异质性。