Rockburst prediction model based on comprehensive weight and extension methods and its engineering application

doi:10.1007/s10064-020-01861-4

	Rockburst prediction model based on comprehensive weight and extension methods and its engineering application
	Zhang, Lewen 2; Zhang, Xiangyu 2; Wu, Jing 1,2; Zhao, Dukun 2; Fu, Hao 2
刊名	BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
	2020-06-02
页码	13
关键词	Rockburst prediction Comprehensive weight and extension methods User visualization window Software system Engineering application
ISSN号	1435-9529
DOI	10.1007/s10064-020-01861-4
英文摘要	In view of the dynamic instability of rock mass in high geostress areas during underground engineering excavation, the comprehensive weight and extension methods are adopted to research the rockburst prediction. Firstly, five main influencing factors including uniaxial compressive strength, stress coefficient, brittleness coefficient, elastic energy index, and integrity of rock mass are used as the evaluation indexes of rockburst prediction according to the conditions required for rockburst occurrence. The assessment index system of rockburst intensity is constituted. Secondly, the analytic hierarchy process (AHP) and variation coefficient methods are used to determine the comprehensive weight of evaluation index, and the rockburst prediction model is established based on the extension evaluation method. Thirdly, the parameter programming and numerical calculation of the proposed prediction model are carried out in the MATLAB software. The user visualization execution window and software system of rockburst prediction model are realized. Finally, the software system is applied to the rockburst prediction in the water diversion tunnels of Jiangbian hydropower station and Jinping secondary hydropower station. The prediction results are compared with the actual situation and other evaluation methods. The results show that (i) the establishment of the user visualization window realizes the visualization and systematization of rockburst prediction model, which improves the data import rate and calculation efficiency. (ii) The prediction results of the proposed software system agree well with the actual situation, and they are more accurate than other evaluation methods. (iii) The proposed software system of rockburst prediction can also be used in coal mine, metro, and other underground projects, which has good engineering application values.
资助项目	China Postdoctoral Science Foundation[2019M652384] ; National Natural Science Foundation of China[41977222] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z019009]
WOS研究方向	Engineering ; Geology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000537350700002
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/24298]
专题	中科院武汉岩土力学所
通讯作者	Wu, Jing
作者单位	1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Shandong Univ, Inst Marine Sci & Technol, Qingdao 266237, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Lewen,Zhang, Xiangyu,Wu, Jing,et al. Rockburst prediction model based on comprehensive weight and extension methods and its engineering application[J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2020:13.
APA	Zhang, Lewen,Zhang, Xiangyu,Wu, Jing,Zhao, Dukun,&Fu, Hao.(2020).Rockburst prediction model based on comprehensive weight and extension methods and its engineering application.BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,13.
MLA	Zhang, Lewen,et al."Rockburst prediction model based on comprehensive weight and extension methods and its engineering application".BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020):13.