Investigation of Coal Failure under Triaxial Compression by CT Scanning


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In order to reveal the deformation and failure mechanism of coals, the evolution of coal’s inner structures should be discovered and studied. A serial of coal specimen collected from 600m deep underground mine were scanned by a μCT system before and after conventional triaxial compression testing respectively. All the CT images were enhanced by some digital image processing techniques and then collected together to reconstructed 3D models by self-developed software. The stress-strain curves of coals at different confining pressure were obtained, and correspondingly the evolution of the inner structure of coals were well presented by enhanced CT images. Experimental results indicate that the strength of coal agrees well to linear Mohr-Coulomb Criterion. CT images show that more cracks occurs with the increasing confining pressure. It was inferred that the damage become more severe with increasing confining pressure and cause the variation of failure from ductile style at low confining pressure to brittle style at high confining pressure.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




R. D. Peng et al., "Investigation of Coal Failure under Triaxial Compression by CT Scanning", Advanced Materials Research, Vols. 588-589, pp. 1903-1909, 2012

Online since:

November 2012




[1] M.Q. You. Int J Rock Mech Min Sci, Vol. 47 (2010) p.195–204.

[2] S.Q. Yang and Y.Z. Jiang. Min Sci Technol, Vol. 20 (2010), pp.339-349.

[3] G. Barla, M. Barla and D. Debernardi. Rock Mech Rock Eng, Vol. 43(2) (2010), pp.225-230.


[4] M. Kwasniewski, X.C. Li and M. Takahashi. True Triaxial Testing of Rocks. (Taylor & Francis Group / CRC Press, United Kingdom 2012).

[5] Y.B. Yao, D.M. Liu, Y. Che, D.Z. Tang, S.H. Tang and W.H. Huang. Int J Coal Geology, Vol. 80 (2009) pp.113-123.

[6] H. Kawakata, A. Cho, T. Kiyama, T. Yanagidani, K. Kusunose and M. Shimada. Tectonophysics, Vol. 313 (1999) pp.293-305.

[7] G.S. Yang, D.Y. Xie, C.Q. Zhang and J. Sun. Journal of experimental mechanics, Vol. 13(4) (1998) pp.451-456 (in Chinese).

[8] X.R. Ge, J.X. Ren, Y.B. Pu, W. Ma and Y.L. Zhu. Sci China Ser E, Vol. 44 (2001) pp.328-336.

[9] X.T. Feng, S.L. Chen and H. Zhou. Int J Rock Mech Min Sci, Vol. 41 (2004) pp.181-192.

[10] G.Z. Cao, Q. Yi and L. Feng. Adv Mater Res, Vol. 361-363 (2012) pp.171-178.

[11] H.N. Wang, W.K. Ni and G.Y. Liu. Adv Mate Res, Vol. 243-249 (2011) pp.3175-3181.

[12] C. Yi, H.G. Zhu and L.Z. Liu. Adv Mater Res, Vol. 168-170 (2011) pp.373-379.

[13] D.M. Guo, Y. Zhang and G.H. Li. Adv Mater Res, Vol. 368-373 (2012) pp.1374-1378.

[14] H. Zhang, R.S. Yang, L. Zhao and H. Cao. Adv Mater Res, Vol. 168-170 (2011) pp.498-504.

[15] K.H. Zeng, J.X. Xu, P.F. He and C.G. Wang. Procedia Eng, Vol. 26 (2011), pp.1051-1057.

[16] Y. Zhou, H.K. Guo, G.Q. Wei and Y.J. Zhang. Adv Mater Res, Vol. 301-303 (2011) pp.1372-1377.

[17] J.H. Liu, Y.D. Jiang, Y.X. Zhao, J. Zhu and Y. Wang. in: Proceedings of the Eighth International Conference on Machine Learning and Cybernetics(ICMLC 2009), Baoding, (2009) pp.2398-2403.

[18] R.D. Peng, Y.C. Yang, Y. Ju, L.T. Mao and Y.M. Yang. Chinese Sci Bull, Vol. 56 (2011), pp.3346-3357.

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