The Experts below are selected from a list of 1464 Experts worldwide ranked by ideXlab platform

Xiangrui Meng - One of the best experts on this subject based on the ideXlab platform.

  • assessment of gas and dust explosion in coal Mines by means of fuzzy fault tree analysis
    International journal of mining science and technology, 2018
    Co-Authors: Bingyou Jiang, Xiangrui Meng
    Abstract:

    Abstract During the past decade, coal dust and gas Explosions have been the most two serious types of disasters in China, threatening the lives of Miners and causing significant losses in terms of national property. In this paper, an evaluation model of coal dust and gas Explosions was constructed based on a fuzzy fault tree by taking the Xingli Coal Mine as a research site to identify the risk factors of coal dust and gas Explosions. Furthermore, the hazards associated with such Explosions were evaluated for this particular coal Mine. After completing an on-site investigation, the fuzzy probabilities of basic events were obtained through expert scoring, and these expert opinions were then aggregated as trapezoidal fuzzy numbers to calculate the degrees of importance of all basic events. Finally, these degrees of importance were sorted. According to the resulting order, the basic events with higher probabilities were deterMined to identify key hazards in the daily safety management of this particular coal Mine. Moreover, effective measures for preventing gas and coal dust Explosions were derived. The fuzzy fault tree analysis method is of high significance in the analysis of accidental coal Mine Explosions and provides theoretical guidance for improving the efficiency of coal Mine safety management in a scientific and feasible manner.

  • Assessment of gas and dust explosion in coal Mines by means of fuzzy fault tree analysis
    'Elsevier BV', 2018
    Co-Authors: Shulei Shi, Bingyou Jiang, Xiangrui Meng
    Abstract:

    During the past decade, coal dust and gas Explosions have been the most two serious types of disasters in China, threatening the lives of Miners and causing significant losses in terms of national property. In this paper, an evaluation model of coal dust and gas Explosions was constructed based on a fuzzy fault tree by taking the Xingli Coal Mine as a research site to identify the risk factors of coal dust and gas Explosions. Furthermore, the hazards associated with such Explosions were evaluated for this particular coal Mine. After completing an on-site investigation, the fuzzy probabilities of basic events were obtained through expert scoring, and these expert opinions were then aggregated as trapezoidal fuzzy numbers to calculate the degrees of importance of all basic events. Finally, these degrees of importance were sorted. According to the resulting order, the basic events with higher probabilities were deterMined to identify key hazards in the daily safety management of this particular coal Mine. Moreover, effective measures for preventing gas and coal dust Explosions were derived. The fuzzy fault tree analysis method is of high significance in the analysis of accidental coal Mine Explosions and provides theoretical guidance for improving the efficiency of coal Mine safety management in a scientific and feasible manner. Keywords: Coal dust explosion, Gas explosion, Fuzzy fault tree analysis (FFTA), Trapezoidal fuzzy number

Saqib A Saki - One of the best experts on this subject based on the ideXlab platform.

  • prevention of gob ignitions and Explosions in longwall mining using dynamic seals
    International journal of mining science and technology, 2017
    Co-Authors: Jurgen F Brune, Saqib A Saki
    Abstract:

    Abstract Most, if not all longwall gob areas accumulate explosive methane-air mixtures that pose a deadly hazard to Miners. Numerous Mine Explosions have originated from explosive gas zones (EGZs) in the longwall gob. Since 2010, researchers at the Colorado School of Mines (CSM) have studied EGZ formation in longwall gobs under two long-term research projects funded by the National Institute for Occupational Safety and Health. Researchers used computational fluid dynamics along with in-Mine measurements. For the first time, they demonstrated that EGZs form along the fringe areas between the methane-rich atmospheres and the fresh air ventilated areas along the working face and present an explosion and fire hazard to Mine workers. In this study, researchers found that, for progressively sealed gobs, a targeted injection of nitrogen from the headgate and tailgate, along with a back return ventilation arrangement, will create a dynamic seal of nitrogen that effectively separates the methane zone from the face air and eliminates the EGZs to prevent Explosions. Using this form of nitrogen injection to create dynamic seals should be a consideration for all longwall operators.

  • Prevention of gob ignitions and Explosions in longwall mining using dynamic seals
    'Elsevier BV', 2017
    Co-Authors: Jurgen F Brune, Saqib A Saki
    Abstract:

    Most, if not all longwall gob areas accumulate explosive methane-air mixtures that pose a deadly hazard to Miners. Numerous Mine Explosions have originated from explosive gas zones (EGZs) in the longwall gob. Since 2010, researchers at the Colorado School of Mines (CSM) have studied EGZ formation in longwall gobs under two long-term research projects funded by the National Institute for Occupational Safety and Health. Researchers used computational fluid dynamics along with in-Mine measurements. For the first time, they demonstrated that EGZs form along the fringe areas between the methane-rich atmospheres and the fresh air ventilated areas along the working face and present an explosion and fire hazard to Mine workers. In this study, researchers found that, for progressively sealed gobs, a targeted injection of nitrogen from the headgate and tailgate, along with a back return ventilation arrangement, will create a dynamic seal of nitrogen that effectively separates the methane zone from the face air and eliminates the EGZs to prevent Explosions. Using this form of nitrogen injection to create dynamic seals should be a consideration for all longwall operators. Keywords: Mine Explosions, Face ignitions, Coal mining, Longwall mining, Methan

Jurgen F Brune - One of the best experts on this subject based on the ideXlab platform.

  • prevention of gob ignitions and Explosions in longwall mining using dynamic seals
    International journal of mining science and technology, 2017
    Co-Authors: Jurgen F Brune, Saqib A Saki
    Abstract:

    Abstract Most, if not all longwall gob areas accumulate explosive methane-air mixtures that pose a deadly hazard to Miners. Numerous Mine Explosions have originated from explosive gas zones (EGZs) in the longwall gob. Since 2010, researchers at the Colorado School of Mines (CSM) have studied EGZ formation in longwall gobs under two long-term research projects funded by the National Institute for Occupational Safety and Health. Researchers used computational fluid dynamics along with in-Mine measurements. For the first time, they demonstrated that EGZs form along the fringe areas between the methane-rich atmospheres and the fresh air ventilated areas along the working face and present an explosion and fire hazard to Mine workers. In this study, researchers found that, for progressively sealed gobs, a targeted injection of nitrogen from the headgate and tailgate, along with a back return ventilation arrangement, will create a dynamic seal of nitrogen that effectively separates the methane zone from the face air and eliminates the EGZs to prevent Explosions. Using this form of nitrogen injection to create dynamic seals should be a consideration for all longwall operators.

  • Prevention of gob ignitions and Explosions in longwall mining using dynamic seals
    'Elsevier BV', 2017
    Co-Authors: Jurgen F Brune, Saqib A Saki
    Abstract:

    Most, if not all longwall gob areas accumulate explosive methane-air mixtures that pose a deadly hazard to Miners. Numerous Mine Explosions have originated from explosive gas zones (EGZs) in the longwall gob. Since 2010, researchers at the Colorado School of Mines (CSM) have studied EGZ formation in longwall gobs under two long-term research projects funded by the National Institute for Occupational Safety and Health. Researchers used computational fluid dynamics along with in-Mine measurements. For the first time, they demonstrated that EGZs form along the fringe areas between the methane-rich atmospheres and the fresh air ventilated areas along the working face and present an explosion and fire hazard to Mine workers. In this study, researchers found that, for progressively sealed gobs, a targeted injection of nitrogen from the headgate and tailgate, along with a back return ventilation arrangement, will create a dynamic seal of nitrogen that effectively separates the methane zone from the face air and eliminates the EGZs to prevent Explosions. Using this form of nitrogen injection to create dynamic seals should be a consideration for all longwall operators. Keywords: Mine Explosions, Face ignitions, Coal mining, Longwall mining, Methan

Bingyou Jiang - One of the best experts on this subject based on the ideXlab platform.

  • assessment of gas and dust explosion in coal Mines by means of fuzzy fault tree analysis
    International journal of mining science and technology, 2018
    Co-Authors: Bingyou Jiang, Xiangrui Meng
    Abstract:

    Abstract During the past decade, coal dust and gas Explosions have been the most two serious types of disasters in China, threatening the lives of Miners and causing significant losses in terms of national property. In this paper, an evaluation model of coal dust and gas Explosions was constructed based on a fuzzy fault tree by taking the Xingli Coal Mine as a research site to identify the risk factors of coal dust and gas Explosions. Furthermore, the hazards associated with such Explosions were evaluated for this particular coal Mine. After completing an on-site investigation, the fuzzy probabilities of basic events were obtained through expert scoring, and these expert opinions were then aggregated as trapezoidal fuzzy numbers to calculate the degrees of importance of all basic events. Finally, these degrees of importance were sorted. According to the resulting order, the basic events with higher probabilities were deterMined to identify key hazards in the daily safety management of this particular coal Mine. Moreover, effective measures for preventing gas and coal dust Explosions were derived. The fuzzy fault tree analysis method is of high significance in the analysis of accidental coal Mine Explosions and provides theoretical guidance for improving the efficiency of coal Mine safety management in a scientific and feasible manner.

  • Assessment of gas and dust explosion in coal Mines by means of fuzzy fault tree analysis
    'Elsevier BV', 2018
    Co-Authors: Shulei Shi, Bingyou Jiang, Xiangrui Meng
    Abstract:

    During the past decade, coal dust and gas Explosions have been the most two serious types of disasters in China, threatening the lives of Miners and causing significant losses in terms of national property. In this paper, an evaluation model of coal dust and gas Explosions was constructed based on a fuzzy fault tree by taking the Xingli Coal Mine as a research site to identify the risk factors of coal dust and gas Explosions. Furthermore, the hazards associated with such Explosions were evaluated for this particular coal Mine. After completing an on-site investigation, the fuzzy probabilities of basic events were obtained through expert scoring, and these expert opinions were then aggregated as trapezoidal fuzzy numbers to calculate the degrees of importance of all basic events. Finally, these degrees of importance were sorted. According to the resulting order, the basic events with higher probabilities were deterMined to identify key hazards in the daily safety management of this particular coal Mine. Moreover, effective measures for preventing gas and coal dust Explosions were derived. The fuzzy fault tree analysis method is of high significance in the analysis of accidental coal Mine Explosions and provides theoretical guidance for improving the efficiency of coal Mine safety management in a scientific and feasible manner. Keywords: Coal dust explosion, Gas explosion, Fuzzy fault tree analysis (FFTA), Trapezoidal fuzzy number

Ronald G Garcia - One of the best experts on this subject based on the ideXlab platform.

  • repetitive transcranial magnetic stimulation for phantom limb pain in land Mine victims a double blinded randomized sham controlled trial
    The Journal of Pain, 2016
    Co-Authors: Alejandra Malavera, Federico Silva, Felipe Fregni, Sandra Carrillo, Ronald G Garcia
    Abstract:

    Abstract We evaluated the effects of repetitive transcranial magnetic stimulation (rTMS) in the treatment of phantom limb pain (PLP) in land Mine victims. Fifty-four patients with PLP were enrolled in a randomized, double-blinded, placebo-controlled, parallel group single-center trial. The intervention consisted of real or sham rTMS of M1 contralateral to the amputated leg. rTMS was given in series of 20 trains of 6-second duration (54-second intertrain, intensity 90% of motor threshold) at a stimulation rate of 10 Hz (1,200 pulses), 20 minutes per day, during 10 days. For the control group, a sham coil was used. The administration of active rTMS induced a significantly greater reduction in pain intensity (visual analogue scale scores) 15 days after treatment compared with sham stimulation (−53.38 ± 53.12% vs −22.93 ± 57.16%; mean between-group difference = 30.44%, 95% confidence interval, .30–60.58; P  = .03). This effect was not significant 30 days after treatment. In addition, 19 subjects (70.3%) attained a clinically significant pain reduction (>30%) in the active group compared with 11 in the sham group (40.7%) 15 days after treatment ( P  = .03). The administration of 10 Hz rTMS on the contralateral primary motor cortex for 2 weeks in traumatic amputees with PLP induced significant clinical improvement in pain. Perspective High-frequency rTMS on the contralateral primary motor cortex of traumatic amputees induced a clinically significant pain reduction up to 15 days after treatment without any major secondary effect. These results indicate that rTMS is a safe and effective therapy in patients with PLP caused by land Mine Explosions.