期刊论文详细信息
International Journal of Mining Science and Technology
Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors
Chao Chen1  Manoj Khandelwal2  Jian Zhou3  Mingzheng Wang3 
[1] Corresponding authors.;Bharti School of Engineering, Laurentian University, Sudbury, Ontario, Canada;School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
关键词: Coal burst liability (CBL);    Unascertained measurement (UM);    Analysis hierarchy process;    Information entropy;    Synthetic weights;    Comprehensive evaluation;   
DOI  :  
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

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