Discrete Element Simulation of Composite Geomaterial Talus Deposit Based on Digital Image Technology

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Abstract:

Talus deposit is often seen in the hydropower projects in the southwest of China. Its mechanical properties are so complex that microscopic structure study is often used to reveal the essence of deformation and damage. The digital image processing technology (DIPT) is introduced to the discrete element simulation of talus deposits. Based on the study of DIPT, a Photo-To-PFC (PTP) automodeling program is developed. It is able to realize the whole process: analyzing and processing the digital image, acquiring the information and establishing the model files. The discrete element model of talus deposit can be established fast and correctly by the PTP from the digital photo on-site. A new way is opened up for the study of the talus deposit. As an example, some talus deposit data of Gushui hydropower station is used, structure model and mechanical properties of talus deposit are studied based on DIPT and PTP. The mechanical properties are studied by the numerical simulation of biaxial compression test. The results show that the gravels and soil mass compress with each other to form a corporate load-carrying body for sharing the external forces. The stress-strain curves show a strain-hardening stage obviously due to the impact of gravels. With the increasing of bond strength among soil particles, the initial elastic modulus and peak strength of talus deposit go up at a certain level; the initial elastic modulus and peak strength increase a lot as the existence of gravels.

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125-131

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May 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Zhaoyuan, Wang Lansheng, Wang Shitian, et. Analysis principles of engineering geological [M]. Beijing: Geological Press, (1997).

Google Scholar

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

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

Google Scholar

[3] Kwan A K H, Mora C F, Chan H C. Particle shape analysis of coarse aggregate using digital image processing [J]. Cement & Concrete Research, 1999, 29: 1403–01.

DOI: 10.1016/s0008-8846(99)00105-2

Google Scholar

[4] Yue Z Q, Chen S, Tham L G. Finite element modeling of geomaterials using digital image processing [J]. Computers and Geotechnics, 2003, 30: 375–97.

DOI: 10.1016/s0266-352x(03)00015-6

Google Scholar

[5] XU Wenjie, HU Ruilin, YUE Z Q, et al. Mesostructural character and numerical simulation of mechanical properties of soil-rock mixtures [J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(2): 301–311.

Google Scholar

[6] LIAO Qiulin, LI Xiao, ZHU Wancheng, LIU Jishan. Structure model construction of rock and soil aggregate based on digital image technology and its numerical simulation on mechanical structure effects [J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(1): 156–162.

Google Scholar

[7] Yu Qinglei, Tang Chunan, Tang Shibin. Digital image based characterization method of rocks heterogeneity and its initial application [J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26 (3): 551~559.

Google Scholar

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

Google Scholar

[9] Qi Xingming, Wang Zhanfu, et al. Quick Start of MATLAB7. 0 Programming [M]. Beijing: People's Posts and Telecommunications Press, (2009).

Google Scholar

[10] Itasca Consulting Group. Inc. PFC2D (particle flow code in 2 dimensions) (Version 3. 1) [R]. Minneapolis: Itasca Consulting Group. Inc., (1999).

Google Scholar

[11] XU Yong, SUN Qicheng, ZHANG Ling, et al. Advances in discrete element methods for particulate materials[J]. Advances in Mechanics, 2003, 33(2): 251–260. (In Chinese).

Google Scholar

[12] XU Wenjie, HU Ruilin, WANG Yanping. PFC2D Model for meso-structure of inhomogeneous geomaterial based on digital image processing [J]. Journal of China Coal Society, 2007, 32(4): 358–362. (In Chinese).

Google Scholar

[13] DING Xiuli, LI Yaoxu, WANG Xin, et al. Particle flow modeling mechanical properties of soil and rock mixtures based on digital image [J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(3): 477–484. (in Chinese).

Google Scholar