基于综合决策云模型的围岩稳定性分级方法研究

doi:10.11872/j.issn.1005-2518.2020.03.194

Abstract

Abstract:

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.

Key words: surrounding rocks, stability classification, cloud model, DEMATEL decision model, entropy weight method

CLC Number:

TD26

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.

Figures/Tables 7

Table 1

Table 2

Fig.1

Table 3

Table 4

Combination weight of each evaluation index"

指标	R_c/MPa	K_v	RQD/%	K₁	K₂
$h i$	0.2066	0.2290	0.2255	0.1769	0.1620
$w j$	0.0858	0.0666	0.1572	0.4938	0.1966
$λ i$	0.0945	0.0812	0.1889	0.4656	0.1698

Table 4

Table 5

Classification results of surrounding rock stability"

样本	综合确定度					本文结果	现场级别
样本	$U (Ⅰ)$	$U (Ⅱ)$	$U (Ⅲ)$	$U (Ⅳ)$	$U (Ⅴ)$	本文结果	现场级别
1	0.2290	0.0100	0.2131	0.1041	0.2931	Ⅴ	Ⅴ
2	0.1233	0.0467	0.1882	0.1436	0.3777	Ⅴ	Ⅴ
3	0.2693	0.0452	0.2870	0.1433	0.0598	Ⅲ	Ⅳ
4	0.1337	0.1309	0.3354	0.2441	0.0181	Ⅲ	Ⅲ
5	0.0503	0.2055	0.0238	0.1507	0.2372	Ⅴ	Ⅴ
6	0.2346	0.1205	0.0358	0.4427	0.2371	Ⅳ	Ⅳ
7	0.2332	0.1205	0.0631	0.5833	0.0676	Ⅳ	Ⅳ
8	0.3142	0.2242	0.4467	0.0118	0	Ⅲ	Ⅲ
9	0.2979	0.2090	0.3678	0.0028	0	Ⅲ	Ⅲ
10	0.2802	0.2538	0.4109	0.0524	0.0001	Ⅲ	Ⅳ
11	0.3141	0.4237	0.0019	0	0	Ⅱ	Ⅱ
12	0.2348	0.2616	0.0828	0.3325	0.1251	Ⅳ	Ⅳ
13	0.3510	0.0372	0.0088	0.2874	0.3697	Ⅴ	Ⅴ
14	0.2295	0.0365	0.1534	0.0508	0.4360	Ⅴ	Ⅴ
15	0.1373	0.1220	0.2035	0.1963	0.0262	Ⅲ	Ⅲ
16	0.1237	0.0380	0.0023	0.1680	0.5104	Ⅴ	Ⅴ
17	0.1187	0.1668	0.2416	0.3035	0.0008	Ⅳ	Ⅳ
18	0.2767	0.6532	0.0874	0.0002	0	Ⅱ	Ⅲ
19	0.1820	0.2101	0.0720	0.2550	0.1920	Ⅳ	Ⅳ
20	0.0001	0.0362	0.4181	0.0891	0.4258	Ⅴ	Ⅴ

Table 5

Table 6

Engineering measured data and surrounding rock classification results of Xiaohongshilazi jade mine"

序号	R_c/MPa	K_v	RQD/%	K₁	K₂	综合确定度					本文结果	KNN	RF	现场级别
序号	R_c/MPa	K_v	RQD/%	K₁	K₂	$U (Ⅰ)$	$U (Ⅱ)$	$U (Ⅲ)$	$U (Ⅳ)$	$U (Ⅴ)$	本文结果	KNN	RF	现场级别
1	37.10	0.37	90.0	0.1	0.2	0.1308	0.3937	0.1778	0.0750	0.0795	Ⅱ	Ⅳ	Ⅳ	Ⅱ
2	56.10	0.45	60.0	0	0.1	0.3021	0.0453	0.3713	0.0177	0	Ⅲ	Ⅲ	Ⅳ	Ⅲ
3	23.28	0.19	25.9	0.3	0	0.0800	0.0006	0	0.0030	0.4129	Ⅴ	Ⅴ	Ⅴ	Ⅴ
4	54.30	0.34	36.8	0.1	0.1	0.1838	0.2580	0.3378	0.0821	0.1584	Ⅲ	Ⅳ	Ⅳ	Ⅲ
5	27.50	0.35	39.3	0.1	0.2	0.0063	0.3008	0.1175	0.1545	0.3730	Ⅴ	Ⅳ	Ⅳ	Ⅳ

Table 6

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类别	R_c/MPa	K_v	RQD/%	K₁	K₂
Ⅰ	>200	1.00~0.75	90~100	0~0.2	0~0.1
Ⅱ	100~200	0.50~0.75	75~90	0.2~0.4	0.1~0.2
Ⅲ	50~100	0.30~0.50	50~75	0.4~0.6	0.2~0.4
Ⅳ	25~50	0.15~0.30	25~50	0.6~0.8	0.4~0.5
Ⅴ	0~25	0~0.15	0~25	0.8~1.0	>0.5

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

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类别	E_x	E_n	H_e
Ⅰ	0.1	0.0849	0.001
Ⅱ	0.3	0.0849	0.001
Ⅲ	0.5	0.0849	0.001
Ⅳ	0.7	0.0849	0.001
Ⅴ	0.9	0.0849	0.001

样本	R_c/MPa	K_v	RQD/%	K₁	K₂	实际级别
1	38.1	0.16	18.7	0	0.3	Ⅴ
2	37.1	0.18	27.4	0.2	0.1	Ⅴ
3	38.0	0.45	90.0	0.4	0.1	Ⅳ
4	38.0	0.35	91.0	0.2	0.2	Ⅲ
5	9.2	0.30	75.0	0.4	0.2	Ⅴ
6	17.4	0.34	38.4	0	0.2	Ⅳ
7	27.5	0.37	39.7	0	0.2	Ⅳ
8	56.8	0.50	58.9	0	0	Ⅲ
9	72.3	0.53	62.8	0	0	Ⅲ
10	67.5	0.45	58.9	0	0.2	Ⅳ
11	82.3	0.66	79.8	0	0	Ⅱ
12	56.1	0.29	41.5	0	0.2	Ⅳ
13	15.8	0.27	39.3	0	0.1	Ⅴ
14	49.2	0.19	29.8	0	0.6	Ⅴ
15	38.0	0.80	93.0	0.3	0.2	Ⅲ
16	21.4	0.17	25.9	0.3	0.1	Ⅴ
17	38.0	0.60	92.0	0.2	0.2	Ⅳ
18	65.9	0.58	69.3	0	0.2	Ⅲ
19	54.3	0.30	33.6	0.1	0	Ⅳ
20	47.1	0.25	27.5	0.2	0.3	Ⅴ

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