Authors: Karekal, S; Poropat, GV; Guo, H


DOI https://doi.org/10.36487/ACG_rep/1308_14_Karekal

Cite As:
Karekal, S, Poropat, GV & Guo, H 2013, 'Experimental and numerical assessment of shear surface damage using 3D point clouds', in PM Dight (ed.), Slope Stability 2013: Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering, Australian Centre for Geomechanics, Perth, pp. 273-280, https://doi.org/10.36487/ACG_rep/1308_14_Karekal

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Abstract:
This paper describes modelling of shearing of rock joint surfaces using 3D point clouds generated using photogrammetry. High resolution 3D images of discontinuity surfaces were created before and after shearing. The surface damage due to shearing of joint surfaces was assessed using image processing by comparing the 3D images of undamaged surfaces with those of damaged surfaces. The shear surfaces were concrete replicas of natural surfaces. The damage due to shearing was estimated using numerical modelling in which comparison was made between the concrete surfaces before and after the shear test. It was found that the modelling results were fairly well correlated with the observed surface damage, thus validating the numerical models. The digitised surfaces could also be used to predict anisotropic shear strength and damage of the asperities by numerically shearing the joint surfaces at various directions.

References:
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Huang, T.H., Chang, C.S. and Chao, C.Y. (2002) Experimental and mathematical modelling for fracture of rock joint with regular asperities, Engineering Fracture Mechanics, Vol. 69, pp. 1977–1996.
Guo, H., Karekal, S., Poropat, G. and Soole, P. and Lambert, C. (2011) Pit wall strength estimation with 3D imaging, ACARP Project Number C18030, Australian Coal Association Research Project Publication, 103 p.




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