The stability of the rocky slope is a systematic problem under the combined action of many complex and changeable factors. In this paper, a comprehensive evaluation model based on VIKOR and binary semantics is proposed, and the stability of the rocky slope is predicted and evaluated. Fristly, according to the damage mechanism and the failure process of the slope rock mass, eight influence factors, such as rock cohesion, internal friction angle, and seismic intensity, are selected as the evaluation indexes for the rocky slope stability forecast. The rocky slope stability evaluation index system has been established. Secondly, a stability forecast model of the rocky slope based on VIKOR and the binary semantics method is proposed. The visualization window and the software system of the prediction model are realized by the Python 3.5 software. Finally, the software is applied to the stability evaluation of the rocky slopes, such as Jinping I Hydropower Station and Longtan Hydropower Station. The result shows that: 1) The visual window and the software operating system of the rocky slope stability forecast model, as well as the evaluation index system replacement button are realized, which improve the calculation efficiency of the sample data and the practicability and applicability of the software system. 2) The calculation results of the rocky slope stability prediction model based on VIKOR and the binary semantics method proposed in this paper are more consistent with the actual engineering situation, and more accurate than the prediction results obtained by other evaluation methods. 3) The proposed software system of the rocky slope stability is also suitable for other geotechnical engineering such as tunnels and coal mines, and which has a good prospect of the engineering application.


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    Title :

    Rocky Slope Stability Prediction Model and Its Engineering Application Based on the VIKOR and Binary Semantics


    Additional title:

    KSCE J Civ Eng


    Contributors:
    Zhang, Lewen (author) / Guo, Deyu (author) / Wu, Jing (author)

    Published in:

    Publication date :

    2023-08-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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