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Sustainability 2019, 11(2), 373; https://doi.org/10.3390/su11020373

Development of a New Method for the Quantitative Generation of an Artificial Joint Specimen with Specific Geometric Properties

Department of Energy Systems Engineering, Seoul National University, Gwanak-gu, Seoul, Korea
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Received: 10 December 2018 / Revised: 10 January 2019 / Accepted: 10 January 2019 / Published: 12 January 2019
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Abstract

A rock joint is a planar discontinuity that has significant influence on the mechanical and hydraulic characteristics of rock mass. Laboratory experiments are often conducted on a joint to investigate and provide fundamental information for rock mass analysis. Although joint roughness and mechanical aperture exert great effects on the experimental results, controlling them in quantitative manner is quite complicated and consumptive in terms of specimen preparation. A new and simple method for the quantitative generation of the joint specimen was proposed in this study. Based on random midpoint displacement method, a joint specimen with a void space inside was generated. Parametric studies for the roughness and mechanical aperture were carried out, and as a result, the two joint properties could be controlled by manipulating input parameters of random midpoint displacement method. In order to validate the proposed method, two joint specimens, which had different levels of roughness and aperture, were generated and printed. Surface coordinates of the specimens were obtained by a 3D laser scanner, and calculated to make a comparison between the target values and the estimated values. Results showed that the method was capable of generating joint specimens with satisfactory precision. View Full-Text
Keywords: artificial joint specimen; roughness; mechanical aperture; quantitative generation; random midpoint displacement method; 3D printer artificial joint specimen; roughness; mechanical aperture; quantitative generation; random midpoint displacement method; 3D printer
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Choi, S.; Lee, S.; Jeong, H.; Jeon, S. Development of a New Method for the Quantitative Generation of an Artificial Joint Specimen with Specific Geometric Properties. Sustainability 2019, 11, 373.

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