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

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

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing
Publication status	Published - 2009 Dec 1
Event	12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009 - Funchal, Madeira, Portugal Duration: 2009 Sep 1 → 2009 Sep 4

Publication series

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

Other

Other	12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009
Country	Portugal
City	Funchal, Madeira
Period	09-09-01 → 09-09-04

All Science Journal Classification (ASJC) codes

Computer Science Applications
Civil and Structural Engineering
Environmental Engineering

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@inproceedings{67aa62b68c854905a85d14509fd22e0e,

title = "Evaluation of the joint roughness coefficient using the digital image correlation method",

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.",

author = "Tung, {S. H.} and Shih, {M. H.} and Jui-Chao Kuo",

year = "2009",

month = dec,

day = "1",

language = "English",

isbn = "9781905088300",

series = "Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing",

booktitle = "Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing",

note = "12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009 ; Conference date: 01-09-2009 Through 04-09-2009",

}

Tung, SH, Shih, MH & 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, 12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009, Funchal, Madeira, Portugal, 09-09-01.

Evaluation of the joint roughness coefficient using the digital image correlation method. / Tung, S. H.; Shih, M. H.; Kuo, Jui-Chao.

Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing. 2009. (Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Evaluation of the joint roughness coefficient using the digital image correlation method

AU - Tung, S. H.

AU - Shih, M. H.

AU - Kuo, Jui-Chao

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

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SN - 9781905088300

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