Characterization on jointed rock masses based on PFC2D

Peitao WANG, Tianhong YANG, Qinglei YU, Honglei LIU, Penghai ZHANG

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PDF(782 KB)
Front. Struct. Civ. Eng. ›› 2013, Vol. 7 ›› Issue (1) : 32-38. DOI: 10.1007/s11709-013-0187-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Characterization on jointed rock masses based on PFC2D

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Abstract

Geometrical parameters of discontinuities, such as spacing, length, dip and fault throw between joints have a great influence on the mechanical behavior of jointed rock masses. Accurate characterization for discontinuities is important for investigate the stability of rock masses. In this paper, the PFC2D is combined with joint network generation method to examine the mechanical behaviors of jointed mass. Taking Miaogou Open-pit Mine as an example, the information and statistical distributions of discontinuities of the slope rock masses are measured by ShapeMetriX3D measuring tool. Then, the automatic generation algorithm of random joints network based on the Monte-Carlo method is proposed using the programming language (FISH) embedded within PFC2D. This algorithm could represent the discontinuities compared with the geological surveys. In simulating the compression test of a jointed rock sample, the mechanical behavior and crack propagation were investigated. The results reveal that the failure mode and crack propagation of the jointed rock are dominated by the distribution of joints in addition to the intact rock properties. The simulation result shows the feasibility of the joints generating method in application to jointed rock mass.

Keywords

jointed rock masses / shape metrix3D / monte-carlo stochastic simulation method / PFC2D

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Peitao WANG, Tianhong YANG, Qinglei YU, Honglei LIU, Penghai ZHANG. Characterization on jointed rock masses based on PFC2D. Front Struc Civil Eng, 2013, 7(1): 32‒38 https://doi.org/10.1007/s11709-013-0187-9

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Acknowledgements

This study was performed at the Center for Rock Instability & Seismicity Research (CRISR), Shenyang, China. The work presented in this paper was financially supported by the General Project of the National Natural Science Foundation of China (Grant Nos. 51174045, 50904013, 51034001, and 50934006), the National Basic Research Program of China (No. 2013CB227900), basic scientific research funds of Ministry of Education of China (Nos. N090101001, N110601003 and N100401003).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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