Evaluation of the joint roughness coefficient using the digital image correlation method

S. H. Tung, M. H. Shih, Jui-Chao Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The joint roughness coefficient (JRC) is used to estimate the influence of the rock joint roughness on the shear strength. The traditional methods to evaluate the JRC are stylus and laser profilometers. The disadvantage of these traditional methods is that they cost much time or the cost of instrument is too high, and they are not suitable for a in-situ test. Therefore a simple three-dimensional digital image correlation (DIC) method is developed in this research to evaluate the JRC. In this research, a three-dimensional DIC method is proposed and only one camera is used. The results show that this method can be used to determine the three-dimensional coordinates of the joint surface and the measured JRC values are very close to that measured by laser profilometer.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing
Publication statusPublished - 2009 Dec 1
Event12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009 - Funchal, Madeira, Portugal
Duration: 2009 Sep 12009 Sep 4

Publication series

NameProceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing

Other

Other12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009
CountryPortugal
CityFunchal, Madeira
Period09-09-0109-09-04

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Civil and Structural Engineering
  • Environmental Engineering

Cite this

Tung, S. H., Shih, M. H., & Kuo, J-C. (2009). Evaluation of the joint roughness coefficient using the digital image correlation method. In Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing (Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing).