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Abstract and Applied Analysis
Volume 2014, Article ID 434898, 10 pages
http://dx.doi.org/10.1155/2014/434898
Research Article

Research on Rock Fracture Surface Morphology Characterization under Brazilian Test

1Faculty of Science, Jiangsu University, Zhenjiang 212013, China
2State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083, China
3School of Mathematics, Taizhou College, Nanjing Normal University, Taizhou 225300, China
4Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China

Received 2 January 2014; Revised 13 March 2014; Accepted 23 March 2014; Published 28 April 2014

Academic Editor: Dianchen Lu

Copyright © 2014 Zhigang Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In order to test the differences in the morphology characterization of rock fracture surfaces under different loading directions and rates, the following three steps are operated. Firstly, using Brazilian test, the Brazilian discs are loaded to fracture under different loading modes. Secondly, each rock fracture surface is scanned with a highly accurate laser profilometer and accordingly the coordinates of three lines on every rock fracture surface and three sections of every line are selected to analyze their fracture morphology characterization. Finally, modulus maximum method of wavelet transform, including a new defined power algorithm and signal to noise ratio, and fractal variation method are used to determine the differences in rock fracture surfaces’ morphology characterization under different loading directions and rates. The result illustrates that both modulus maximum and fractal variation method can detect anisotropy of rock fracture failure. Compared to modulus maximum method, fractal variation method shows stronger sensitivity to the change of loading rates, which is more suitable to differentiate the rock fracture surface’s morphology characterization under different loading modes.