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Experimental and numerical study of failure behavior and mechanism of coal under dynamic compressive loads 被引量:16
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作者 junjun feng Enyuan Wang +2 位作者 Qisong Huang Houcheng Ding Xiangyang Zhang 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2020年第5期613-621,共9页
A comprehensive understanding of the failure behavior and mechanism of coal is a prerequisite for dealing with dynamic problems in mining space.In this study,the failure behavior and mechanism of coal under uniaxial d... A comprehensive understanding of the failure behavior and mechanism of coal is a prerequisite for dealing with dynamic problems in mining space.In this study,the failure behavior and mechanism of coal under uniaxial dynamic compressive loads were experimentally and numerically investigated.The experiments were conducted using a split Hopkinson pressure bar(SHPB)system.The results indicated that the typical failure of coal is lateral and axial at lower loading rates and totally smashed at higher loading rates.The further fractography analysis of lateral and axial fracture fragments indicated that the coal failure under dynamic compressive load is caused by tensile brittle fracture.In addition,the typical failure modes of coal under dynamic load were numerically reproduced.The numerical results indicated that the axial fracture is caused directly by the incident compressive stress wave and the lateral fracture is caused by the tensile stress wave reflected from the interface between coal specimen and transmitted bar.Potential application was further conducted to interpret dynamic problems in underground coal mine and it manifested that the lateral and axial fractures of coal constitute the parallel cracks in the coal mass under roof fall and blasting in mining space. 展开更多
关键词 Split Hopkinson pressure bar Stress wave Failure mode Fracture mechanism FRACTOGRAPHY
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Fluoride removal from secondary effluent of the graphite industry using electrodialysis:Optimization with response surface methodology 被引量:3
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作者 Xiaomeng Wang Ning Li +8 位作者 Jianye Li junjun feng Zhun Ma Yuting Xu Yongchao Sun Dongmei Xu Jian Wang Xueli Gao Jun Gao 《Frontiers of Environmental Science & Engineering》 SCIE EI CAS CSCD 2019年第4期45-55,共11页
Response surface methodology was utilized to model and optimize the operational variables for defluoridation using an electrodialysis process as the treatment of secondary effluent of the graphite industry. Experiment... Response surface methodology was utilized to model and optimize the operational variables for defluoridation using an electrodialysis process as the treatment of secondary effluent of the graphite industry. Experiments were conducted using a Box-Behnken surface statistical design in order to evaluate the effects and the interaction of the influential variables including the operational voltage, initial fluoride concentration and flow rate. The regression models for defluoridation and energy consumption responses were statistically validated using analysis of variance (ANOVA);high coefficient of determination values (R^2 = 0.9772 and R^2 = 0.9814;respectively) were obtained. The quadratic model exhibited high reproducibility and a good fit of the experimental data. The optimum values of the initial fluoride concentration, voltage and flow rate were found to be 13.9 mg/L, 13.4 V, 102.5 L/h, respectively. A fluoride removal efficiency of 99.69% was observed under optimum conditions for the treatment of the secondary effluent of the graphite industry. 展开更多
关键词 Response surface METHODOLOGY FLUORIDE REMOVAL ELECTRODIALYSIS Box-Behnken design
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