Study on Mechanical Properties of Talus Deposit Based on Digital Image Processing Technology

Abstract:

Talus deposit is often seen in the hydropower projects in the southwest of China. Its mechanical properties are so complex that microstructure study is often used to reveal the essence of deformation and damage. The digital image processing technology (DIPT) is introduced to the simulation of talus deposits. Based on the study of DIPT, a Photo-To-Flac3D (PTF) auto-modeling program is developed. It is able to realize the whole process: analyzing and processing the digital image, acquiring the information and establishing the micro-model files. A new modeling method is developed for the mechanical behavior simulation of talus deposit. As an example, some talus deposit data of Gushui hydropower station is used, the micro-model of talus deposit can be established fast and correctly by the PTF from the digital photo on-site. The mechanical properties are studied by the numerical simulation of triaxial test. The results show that the talus deposit has the feature of bully in deformation while that of Unicom band under force.

• Periodical: Advanced Materials Research (Volume 327)
• Pages: 159-164
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.327.159
• Online since: September 2011
• Authors: Lin Wei Wang, Wei Ya Xu, An Quan Xu
• Keywords: Digital Image Technology, Mechanical Property, Micromechanical Model, Talus Deposit

References

[1] YUE Z Q，CHEN Sha，ZHENG Hong. Digital image processing based on a finite element method for geomaterials[J]. Chinese Journal of Gravel Mechanics and Engineering，2004，23(6)：889–897. (in Chinese).

[2] Yue Z Q, Bekking W, Morin I. Application of digital image processing to quantitative study of asphalt concrete microstructure[A]. Transportation Research Record 1492, Transportation Research Board, National Research Council Washington[C]. (1995).

[3] LEBOURG T, RISS J, PIRARD E. Influence of morphological characteristics of heterogeneous moraine formations on their mechanical behaviour using image and statistical analysis [J]. Engineering Geology, 2004, 73(1/2)：37–50.

DOI: 10.1016/j.enggeo.2003.11.004

[4] Reid T R, Harrison J P. A semi-automated methodology for discontinuity trace detection in digital images of gravel mass exposures[J]. Int J Gravel Mech Min Sci, 2000, 37: 1073–89.

DOI: 10.1016/s1365-1609(00)00041-1

[5] Gonzalez Woods. Digital Image Processing (third edition) [M]. Beijing: Electronic Industry Press, (2010).

[6] Qi Xing-ming, Wang Zhan-fu. MATLAB7. 0 Programming Quick Start [M]. Beijing: People's Posts and Telecommunications Press, (2009).

[7] YANG Chuan-jun. The application of digital image processing technology to grading analysis of earth-gravel mixtures [J]. Yunnan Water Power, 2008, 25(3)：24–32. (in Chinese).