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http://dx.doi.org/10.7474/TUS.2016.26.6.516

Generation of a 3D Artificial Joint Surface and Characterization of Its Roughness  

Choi, Seung-Beum (서울대학교 공과대학 에너지시스템공학부)
Lee, Sudeuk (서울대학교 공과대학 에너지시스템공학부)
Jeon, Seokwon (서울대학교 공과대학 에너지시스템공학부)
Publication Information
Tunnel and Underground Space / v.26, no.6, 2016 , pp. 516-523 More about this Journal
Abstract
Roughness of a joint surface is one of the most important parameters that affects the mechanical and hydraulic behavior of rock mass. Therefore, various studies on making constitutive model and/or roughness quantification have been conducted in experimental and empirical manners. Advances in recent 3D printing technology can be utilized to generate a joint surface with a specific roughness. In this study, a reliable technique to generate a rough joint surface was introduced and its quantitative assessment was made. Random midpoint displacement method was applied to generate a joint surface and the distribution of $Z_2$ was investigated to assess its roughness. As a result, a certain roughness can be embodied by controlling input parameters and furthermore it was able to generate a joint surface with specific roughness anisotropy.
Keywords
Roughness; random midpoint displacement; $Z_2$ distribution; anisotropic ratio of roughness;
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