Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database. Four assessment indexes are used in the model, whic...

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Published inInternational journal of mining science and technology Vol. 31; no. 5; pp. 799 - 812
Main Authors Zhou, Jian, Chen, Chao, Wang, Mingzheng, Khandelwal, Manoj
Format Journal Article
LanguageEnglish
Published Elsevier 01.09.2021
Subjects
Analysis hierarchy process
Coal burst liability (CBL)
Comprehensive evaluation
Information entropy
Synthetic weights
Unascertained measurement (UM)
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Abstract Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database. Four assessment indexes are used in the model, which are the dynamic failure duration (DT), elastic energy index (WET), impact energy index (KE) and uniaxial compressive strength (RC). Four membership functions, including linear (L), parabolic (P), S and Weibull (W) functions, are proposed to measure the uncertainty level of individual index. The corresponding weights are determined through information entropy (EN), analysis hierarchy process (AHP) and synthetic weights (CW). Simultaneously, the classification criteria, including unascertained cluster (UC) and credible identification principle (CIP), are analyzed. The combination algorithm, consisting of P function, CW and CIP (P-CW-CIP), is selected as the optimal classification model in function of theory analysis and to train the samples. Ultimately, the established ensemble model is further validated through test samples with 100% accuracy. The results reveal that the hybrid model has a great potential in the coal burst hazard evaluation in underground coal mines.
AbstractList Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database. Four assessment indexes are used in the model, which are the dynamic failure duration (DT), elastic energy index (WET), impact energy index (KE) and uniaxial compressive strength (RC). Four membership functions, including linear (L), parabolic (P), S and Weibull (W) functions, are proposed to measure the uncertainty level of individual index. The corresponding weights are determined through information entropy (EN), analysis hierarchy process (AHP) and synthetic weights (CW). Simultaneously, the classification criteria, including unascertained cluster (UC) and credible identification principle (CIP), are analyzed. The combination algorithm, consisting of P function, CW and CIP (P-CW-CIP), is selected as the optimal classification model in function of theory analysis and to train the samples. Ultimately, the established ensemble model is further validated through test samples with 100% accuracy. The results reveal that the hybrid model has a great potential in the coal burst hazard evaluation in underground coal mines.
Author Zhou, Jian
Wang, Mingzheng
Khandelwal, Manoj
Chen, Chao
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Snippet Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained...
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crossref
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Enrichment Source
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StartPage 799
SubjectTerms Analysis hierarchy process
Coal burst liability (CBL)
Comprehensive evaluation
Information entropy
Synthetic weights
Unascertained measurement (UM)
Title Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors
URI https://doaj.org/article/d1b08be2a3354a87b4bc9aa44b37031d
Volume 31
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