Research on Classification Method of Surrounding Rock Stability Based on Comprehensive Decision Cloud Model

Keping ZHOU; Xiaofeng HOU; Yun LIN

doi:10.11872/j.issn.1005-2518.2020.03.194

Highlights

The stability analysis of surrounding rock of underground engineering is related to the safety of underground engineering.The stability of surrounding rock directly determines the success or failure of the underground engineering.Therefore，it is of great significance to carry out the stability evaluation of surrounding rock of underground engineering.Based on cloud theory，the rock uniaxial saturation compressive strength，integrity coefficient，basic rock quality index，groundwater impact correction coefficient，and weak structure surface condition impact coefficient were selected as the surrounding rock stability classification indicators.The combination weight of the above index system was obtained by using DEMATEL decision-making model and entropy weight method，and then 20 sets of measured data of highway tunnel engineering were selected as learning samples to establish a comprehensive decision cloud model for surrounding rock stability classification.It is applied to an example of surrounding rock stability classification for 5 groups of Xiaohongshilazi jade mine.The results show that the discrimination result of the comprehensive decision cloud model is consistent with the actual situation，and the discrimination accuracy can reach 80%，which is better than the discrimination results of the K-nearest neighbor algorithm and the random forest algorithm，indicating that the comprehensive decision cloud model established in this paper has certain application value in engineering practice and can provide a new idea for stability classification of surrounding rocks.

Cite this article

Keping ZHOU , Xiaofeng HOU , Yun LIN . Research on Classification Method of Surrounding Rock Stability Based on Comprehensive Decision Cloud Model[J]. Gold Science and Technology, 2020 , 28(3) : 372 -379 . DOI: 10.11872/j.issn.1005-2518.2020.03.194

http://www.goldsci.ac.cn/article/2020/1005-2518/1005-2518-2020-28-3-372.shtml

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