IGGCAS OpenIR  > 页岩气与地质工程院重点实验室
Rockburst prediction and classification based on the ideal-point method of information theory
Xu, Chen1; Liu, Xiaoli1; Wang, Enzhi1; Zheng, Yanlong2; Wang, Sijing3
2018-11-01
发表期刊TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
ISSN0886-7798
卷号81页码:382-390
摘要A rockburst is a sudden dynamic process under high geostress conditions where rocks spontaneously explode. This is an important geological problem for underground construction processes. A rockburst could lead to equipment damage, casualties, and construction delays. Therefore, rockburst prediction and classification are extremely significant. A prediction and classification model is established by introducing the basic theory of the ideal-point method, considering the rockburst mechanism. Three parameters are selected as evaluation indexes, including the rock stress coefficient (sigma(theta)/sigma(c)), rock brittleness coefficient (sigma(c)/sigma(t)), and elastic energy index (M-et). To eliminate any correlation between the parameters, a principal component analysis based on mutual information (MIPCA) for the rockburst feature selection is used to calculate a new group of parameters. Then, using the information-entropy theory, the weight coefficients of these new evaluation indexes are confirmed. Finally, using statistics-related projects, engineering-case analyses show the feasibility and applicability of the proposed model. A computer evaluation program with a rockburst-classification interface was developed, based on the proposed model. This model and computer software can be used for other similar engineering practices in the future.
关键词Rockburst prediction Ideal point method Information theory Principal component analysis Mutual information entropy
DOI10.1016/j.tust.2018.07.014
资助者National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China
关键词[WOS]SELECTION ; SUPPORT ; HAZARD
语种英语
资助项目National Key Research and Development Plan[2016YFC0501104] ; National Natural Science Foundation Outstanding Youth Foundation[51522903] ; National Natural Science Foundation of China[51479094]
资助者National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Plan ; National Key Research and Development Plan ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation Outstanding Youth Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS研究方向Construction & Building Technology ; Engineering
WOS类目Construction & Building Technology ; Engineering, Civil
WOS记录号WOS:000446949500033
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型期刊论文
条目标识符http://ir.iggcas.ac.cn/handle/132A11/89180
专题页岩气与地质工程院重点实验室
通讯作者Liu, Xiaoli
作者单位1.Tsinghua Univ, State Key Lab Hydro Sci & Engn, Beijing 100084, Peoples R China
2.Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia
3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714
Xu, Chen,Liu, Xiaoli,Wang, Enzhi,et al. Rockburst prediction and classification based on the ideal-point method of information theory[J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,2018,81:382-390.
APA Xu, Chen,Liu, Xiaoli,Wang, Enzhi,Zheng, Yanlong,&Wang, Sijing.(2018).Rockburst prediction and classification based on the ideal-point method of information theory.TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,81,382-390.
MLA Xu, Chen,et al."Rockburst prediction and classification based on the ideal-point method of information theory".TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 81(2018):382-390.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, Chen]的文章
[Liu, Xiaoli]的文章
[Wang, Enzhi]的文章
百度学术
百度学术中相似的文章
[Xu, Chen]的文章
[Liu, Xiaoli]的文章
[Wang, Enzhi]的文章
必应学术
必应学术中相似的文章
[Xu, Chen]的文章
[Liu, Xiaoli]的文章
[Wang, Enzhi]的文章
相关权益政策
暂无数据
收藏/分享
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。