Evaluation Model of Rock Burst in Coal Mine and Its Application

The evaluation index of coal mine rock burst has some uncertainties such as diversity and randomness, the scientific and accurate index weight can not be determined, and the evaluation result always deviates from the reality. In order to solve the above problems, an evaluation index system of coal m...

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Main Authors: Guangbo CHEN, Pengcheng TENG, Tan LI, Chuangye WANG, Shijiang CHEN, Guohua ZHANG
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2021-11-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-478.html
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author Guangbo CHEN
Pengcheng TENG
Tan LI
Chuangye WANG
Shijiang CHEN
Guohua ZHANG
author_facet Guangbo CHEN
Pengcheng TENG
Tan LI
Chuangye WANG
Shijiang CHEN
Guohua ZHANG
author_sort Guangbo CHEN
collection DOAJ
description The evaluation index of coal mine rock burst has some uncertainties such as diversity and randomness, the scientific and accurate index weight can not be determined, and the evaluation result always deviates from the reality. In order to solve the above problems, an evaluation index system of coal mine rock burst was constructed, which takes geological conditions, safety management, mining technology, and other factors as criterion layer, and 24 factors such as mining depth and mechanical properties of coal and rock as index layer. The weights calculated by “AHP and Entropy weight method” are combined, and the Lagrange function is introduced to construct the optimal decision-making model. Through the Euclidean distance function, the preference coefficient is obtained, and the index combination weight is obtained. The evaluation model of rock burst in CW-TOPSIS coal mine is constructed, and the grade of rock burst is determined. The model was used to judge the rockburst grade of a coal mine in Long Coal Mining Group, and the grade is “weak impact”, and the calculated index combination weight was sorted, from large to small: mechanical properties of coal and rock > mining depth > roof strata structure characteristics > mining face advancing to goaf, fault time > roof management method. The evaluation result is consistent with the actual situation of the coal mine. Compared with the traditional evaluation method including, the comprehensive index method, the CW-TOPSIS evaluation model is more accurate, more precise, and more practical.
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spelling doaj.art-296d044804d94ee0918952bf4b666f282024-04-09T08:04:09ZengEditorial Office of Journal of Taiyuan University of TechnologyTaiyuan Ligong Daxue xuebao1007-94322021-11-0152696697310.16355/j.cnki.issn1007-9432tyut.2021.06.0161007-9432(2021)06-0966-08Evaluation Model of Rock Burst in Coal Mine and Its ApplicationGuangbo CHEN0Pengcheng TENG1Tan LI2Chuangye WANG3Shijiang CHEN4Guohua ZHANG5Mining Research Institute, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaMining Research Institute, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaMining Research Institute, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaMining Research Institute, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaMining Research Institute, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaHeilongjiang University of Science and Technology, Harbin 150000, ChinaThe evaluation index of coal mine rock burst has some uncertainties such as diversity and randomness, the scientific and accurate index weight can not be determined, and the evaluation result always deviates from the reality. In order to solve the above problems, an evaluation index system of coal mine rock burst was constructed, which takes geological conditions, safety management, mining technology, and other factors as criterion layer, and 24 factors such as mining depth and mechanical properties of coal and rock as index layer. The weights calculated by “AHP and Entropy weight method” are combined, and the Lagrange function is introduced to construct the optimal decision-making model. Through the Euclidean distance function, the preference coefficient is obtained, and the index combination weight is obtained. The evaluation model of rock burst in CW-TOPSIS coal mine is constructed, and the grade of rock burst is determined. The model was used to judge the rockburst grade of a coal mine in Long Coal Mining Group, and the grade is “weak impact”, and the calculated index combination weight was sorted, from large to small: mechanical properties of coal and rock > mining depth > roof strata structure characteristics > mining face advancing to goaf, fault time > roof management method. The evaluation result is consistent with the actual situation of the coal mine. Compared with the traditional evaluation method including, the comprehensive index method, the CW-TOPSIS evaluation model is more accurate, more precise, and more practical.https://tyutjournal.tyut.edu.cn/englishpaper/show-478.htmlmining engineeringevaluation of rock burstcombination weightingpreference coefficientcw-topsis evaluation model
spellingShingle Guangbo CHEN
Pengcheng TENG
Tan LI
Chuangye WANG
Shijiang CHEN
Guohua ZHANG
Evaluation Model of Rock Burst in Coal Mine and Its Application
Taiyuan Ligong Daxue xuebao
mining engineering
evaluation of rock burst
combination weighting
preference coefficient
cw-topsis evaluation model
title Evaluation Model of Rock Burst in Coal Mine and Its Application
title_full Evaluation Model of Rock Burst in Coal Mine and Its Application
title_fullStr Evaluation Model of Rock Burst in Coal Mine and Its Application
title_full_unstemmed Evaluation Model of Rock Burst in Coal Mine and Its Application
title_short Evaluation Model of Rock Burst in Coal Mine and Its Application
title_sort evaluation model of rock burst in coal mine and its application
topic mining engineering
evaluation of rock burst
combination weighting
preference coefficient
cw-topsis evaluation model
url https://tyutjournal.tyut.edu.cn/englishpaper/show-478.html
work_keys_str_mv AT guangbochen evaluationmodelofrockburstincoalmineanditsapplication
AT pengchengteng evaluationmodelofrockburstincoalmineanditsapplication
AT tanli evaluationmodelofrockburstincoalmineanditsapplication
AT chuangyewang evaluationmodelofrockburstincoalmineanditsapplication
AT shijiangchen evaluationmodelofrockburstincoalmineanditsapplication
AT guohuazhang evaluationmodelofrockburstincoalmineanditsapplication