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WANG Fei-li, WANG Shu-hong, GAO Hong-yan, XIU Zhan-guo. Instability characterization coefficient of key block and evaluation of rock slope stability[J]. Journal of Traffic and Transportation Engineering, 2018, 18(4): 44-52. doi: 10.19818/j.cnki.1671-1637.2018.04.005
Citation: WANG Fei-li, WANG Shu-hong, GAO Hong-yan, XIU Zhan-guo. Instability characterization coefficient of key block and evaluation of rock slope stability[J]. Journal of Traffic and Transportation Engineering, 2018, 18(4): 44-52. doi: 10.19818/j.cnki.1671-1637.2018.04.005
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Instability characterization coefficient of key block and evaluation of rock slope stability

doi: 10.19818/j.cnki.1671-1637.2018.04.005

  • School of Resource and Civil Engineering, Northeastern University, Shenyang 110819, Liaoning, China

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    Abstract
  • A key block determination method was established to realize the quasi-quantitative evaluation of rock slope stability. The concept of instability characterization coefficient of key block was defined by comprehensively considering the geometric characteristics and mechanical properties of key blocks. The program GeoSMA-3 Ddeveloped by the authors'team was used to develop the search module for key blocks based on the instability characterization coefficient. The entire instability process of key blocks, including the search for blocks, judgment of moveable blocks, determination of key blocks, slide and instability of blocks was visualized. Using the instability characterization coefficient of key blocks, the weight of each key block was calculated through the introduction of the analytic hierarchy process. The characterization safety factor ofrock slope stability was determined through the combination of the safety factors and weights of key blocks. Key block information was used to characterize rock slope stability, and a method for evaluating the rock slope stability was proposed by considering rock structural planes and key blocks. Taking the Jianchang Rock Slope in Liaoning Province as an example, the determination and visualization of key blocks were carried out by using the proposed method to examine the rock slope stability. The results were compared with those of the numerical manifold method (NMM) and the on-site monitoring data to verify the applicability and feasibility of the proposed method. Research result shows that there are six controlling key blocks for the rock slope stability. The characterization safety factor of rock slope stability calculated through the proposed method is0.566 9 (an unstable rock slope). The relative difference between the calculated results and those from on-site monitoring is 7.066%. In the simulation results from NNM, the slippage of the most unfavorable key block determined by the safety factor method does not cause the instability of the rock slope, while the most unfavorable key block determined by the proposed method contributes to the overall instability of the rock slope. Therefore, the evaluation of rock slope stability by simultaneously considering the volumes and safety factors of key blocks is more reasonable. The rock slope stability characterized by key block information agrees well with the engineering practice.

     

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