Article
Engineering, Environmental
Xie Xuecai, Shu Xueming, Fu Gui, Shen Shifei, Jia Qingsong, Hu Jun, Wu Zhirong
Summary: This study focuses on analyzing and preventing coal and gas outburst accidents by exploring the primary accident path and conducting applied research on accident reasoning. The study proposes a method for mining the main accident path and establishes a Bayesian network model for probabilistic reasoning of accident causes. The application results show that the proposed method is feasible and provides valuable insights for accident prevention and reasoning analysis.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Review
Ergonomics
Yunxin Wang, Gui Fu, Qian Lyu, Chenhui Yuan
Summary: This study provides insights into the characteristics and causes of severe and extraordinarily severe gas explosion accidents (SESGEAs). The study reveals significant differences in the geographical and temporal distribution of these accidents, as well as their attributed characteristics. It identifies chaotic ventilation management, unsafe ventilation operations, lack of safety knowledge among coal miners, inadequate enforcement of safety procedures, and a lack of attention to underground human resources and safety training systems as the main causes of these accidents. The study emphasizes the importance of safety culture and provides important data support for developing targeted accident prevention strategies in the mining industry.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2023)
Article
Engineering, Marine
Yuhao Cao, Xinjian Wang, Yihang Wang, Shiqi Fan, Huanxin Wang, Zaili Yang, Zhengjiang Liu, Jin Wang, Runjie Shi
Summary: This study utilizes a data-driven Bayesian network model to analyze the relationship between the severity of marine accidents and relevant Accident Influential Factors (AIFs). By classifying marine accident investigation reports involving 1,294 ships from 2000 to 2019, a database of factors affecting the severity of marine accidents is established. The Tree Augmented Naive Bayesian algorithm is used to establish a data-driven BN model and analyze the established database of AIFs through data training and machine learning.
Article
Energy & Fuels
Qingsong Jia, Gui Fu, Xuecai Xie, Shihan Hu
Summary: This study proposes a classification method for coal mine gas explosion accident causes based on the 24Model and the three-element classification of gas explosions. The consistency and validity of the newly established classification system were evaluated, and its performance was verified. The results show that the method improves the comprehensiveness of accident cause analysis and provides a more scientific energy mining safety strategy.
Article
Geosciences, Multidisciplinary
Zhuang Lu, Liang Wang, Mingzhe Lv, Yang Lei, Hao Wang, Qingquan Liu
Summary: This study provides new insights into the theoretical study of coal and gas outburst in serious outburst coal seams and the control of coal and gas outburst by hydraulic measures.
FRONTIERS IN EARTH SCIENCE
(2022)
Review
Energy & Fuels
Chenghao Wang, Yuanping Cheng
Summary: This paper systematically reviews the importance of coal deformation energy and gas expansion energy in coal and gas outbursts. It highlights that most literature related to outburst energy overlooks the contribution of coal deformation energy. Experimental results show that the deformation energy of high outburst risk tectonic coal has a power function relationship with stress, and its releasing mode differs from intact coal. The coal deformation energy is proved to have the same order of magnitude with gas expansion energy.
Article
Thermodynamics
Wei Zhao, Huzi Dong, Kai Wang, Shimin Liu, Zhida Yan
Summary: This study investigates the asynchronous characteristics of gas expansion energy and coal deformation potential energy during coal and gas outburst. The findings reveal that the adsorption-induced expansion process lasts longer, resulting in the asynchronous propagation of gas expansion energy and coal deformation potential energy. The study also uncovers the different components of coal deformation potential energy and their role in the outburst process.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Haidong Wang, Zhiheng Cheng, Quanle Zou, Zhenhua Li, Fulong Sun, Hongwei Yang, Yun Lei
Summary: The proper understanding and utilization of liquid CO2 phase transition fracturing technology is crucial for reducing CO2 emissions and increasing coalbed methane production. By implementing this technology in outburst-prone coal seams, it is possible to improve gas extraction speed, increase gas permeability, and effectively suppress coal seam outbursts.
Article
Energy & Fuels
Dingding Yang, Lidong Pan, Yujia Chen, Jun Tang
Summary: The study found that coal samples with different destruction degrees exhibit consistent microstructure and macroscopic behaviors, and using primary hard coal to simulate tectonic soft coal can improve prediction accuracy. This method can compensate for the loss caused by unreasonable sampling and enhance the accuracy of outburst hazard determination of coal seams.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Energy & Fuels
Yanlu Ding, Zhongqi Quentin Yue
Summary: This study designs a tunnel outburst simulator to quantify the characteristics of outbursts in deep tunnels. The study finds that the amplitudes of shock waves induced by outbursts are much higher than those induced by pure gas eruptions, and shock waves caused by compressed air occur before those caused by gas-coal mixtures. The study also observes trajectory segregation of coal deposition and larger coal particles moving further during outbursts. Additionally, the major energy contributing to outbursts comes from the expansion energy of high-pressure CO2 gas.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Engineering, Aerospace
Bin Meng, Na Lu
Summary: This study analyzed controlled flight into terrain (CFIT) accidents using the Human Factors Analysis and Classification System (HFACS) and Bayesian network (BN). The results showed that the precondition for unsafe acts had the greatest impact on CFIT accidents, and inadequate supervision, noncompliance with procedures, and navigation equipment failure were identified as the top significant contributing factors.
Article
Green & Sustainable Science & Technology
Xianzhong Li, Shigang Hao, Tao Wu, Weilong Zhou, Jinhao Zhang
Summary: A system software (V1.2.0) was developed to predict the risk of coal and gas outbursts based on C/S architecture, Visual Basic development language, and SQL Server 2000 database. Statistical process control and logistic regression analysis were used to assess and develop critical values for individual indicators and explore the interrelation of outburst warnings. The results showed that these methods are useful for timely detection of outburst hazards during the mining process.
Article
Energy & Fuels
Haijun Guo, Yingjie Yu, Kai Wang, Zhe Yang, Liang Wang, Chao Xu
Summary: The basic physical parameters and gas desorption characteristics of raw coal and tectonic coal composite seams in northern China were tested and analyzed. The results revealed that the tectonic coal had higher adsorption capacity and gas desorption volume, as well as a higher diffusion coefficient compared to raw coal. However, the Protodyakonov's coefficient of tectonic coal was smaller. This study provides important insights for the prevention and control of coal and gas outburst disasters in raw coal and tectonic coal seams, ensuring the safe and efficient mining of coal resources.
Article
Mining & Mineral Processing
Qingyi Tu, Yuanping Cheng, Sheng Xue, Ting Ren, Xiang Cheng
Summary: The research investigated the crushing work ratios and gas desorption properties of intact coal, concluding that high levels of transport work and gas are needed for crushing intact coal, exceeding the transport work significantly. The study also found that the required minimum stress for crushing intact coal exceeds the in-situ stresses available at mining depths of 300-700 meters.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2021)
Article
Energy & Fuels
Qingyi Tu, Sheng Xue, Yuanping Cheng, Wei Zhang, Gaofeng Shi, Guisheng Zhang
Summary: This study analyzed the guiding effect of tectonic coal on outburst by combining typical cases and conducting physical simulation experiments. It was found that the threshold value of critical gas pressure for outburst was lower in groups with local existence of tectonic coal areas. Additionally, the outburst development sequence was altered due to the presence of tectonic coal areas.
Article
Engineering, Environmental
Xingxing Hu, Lingjie Liu, Yanmeng Bi, Lu Li, Chunsheng Qiu, Jingjie Yu, Shaopo Wang
Summary: In this study, the impact of exogenous folate on the start-up process of single-stage partial nitritation-anammox (SPNA) was evaluated using two lab-scale reactors. The results showed that folate addition can enhance nitrogen removal rate, extracellular polymeric substances production, hydrazine oxidase and dehydrogenase activity, as well as the relative abundance of Candidatus Brocadia.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Shaocang He, Tingting Shen, Jing Sun, Haoqi Pan, Chenxu Sun, Tianpeng Li, Runyao Li, Enshan Zhang
Summary: A novel process of acid leaching neutralization was developed for the preparation of inorganic polymeric composite ferric aluminum silicate coagulant (CFAS) using solid waste coal gasification coarse slag (CGCS). The optimized preparation process was determined through single-factor experiment and the performance of CFAS was evaluated for domestic sewage treatment. The results showed that CFAS exhibited excellent coagulation ability and achieved significant removal efficiency for turbidity, ammonia nitrogen, and chemical oxygen demand.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kinga Szatmari, Sandor Nemeth, Alex Kummer
Summary: In this article, a resilience-based reinforcement learning approach is proposed to address the potential thermal runaway issue in batch reactors. By calculating the resilience metric for reactors and utilizing Deep Q-learning to decide when to intervene in the system, resilient-based mitigation systems can be effectively developed.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingyou Jiang, Qi Yao, Mingqing Su, Jingjing Li, Kunlun Lu, Dawei Ding, Han Hong
Summary: This study investigates the inhibitory characteristics and mechanisms of ABC powder on coal powder explosion. The addition of ABC powder significantly decreases the maximum explosion pressure and can completely suppress coal dust explosions. The study also reveals the thermal decomposition characteristics and reaction kinetics of the mixed system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kubilay Bayramoglu, Mustafa Nuran
Summary: This study examines the feasibility of using pyrolytic oil from waste tires as fuel in diesel engines, and evaluates its energy, exergy, and sustainability. The results indicate that pyrolytic oil has potential as a renewable fuel source with relatively high thermal efficiency.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Xinru Duan, Yejia Lv, Jiaxing Hong, Jianzhong Wu, Jia Zhang, Yang Yue, Guangren Qian
Summary: This study successfully prepared a tube reactor with optimized catalyst formula, which showed good performance in removing dioxins and other pollutants in the experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Jiaoyang Du, Xueming Dang, Xiaorong Gan, Xin Cui, Huimin Zhao
Summary: In this study, a photocatalyst-enzyme hybrid system was constructed, which solved the issue of enzyme inactivation caused by high concentration of H2O2 through photocatalytic in-situ H2O2 production, and improved the stability and catalytic efficiency of the enzyme. The effectiveness of the system in treating phenolic EDCs was confirmed through experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Fu-Rong Xiu, Longsheng Zhan, Yingying Qi, Xinyue Lei, Jiali Wang, Haipeng Zhou, Wenting Shao
Summary: This study developed a synergetic and high-efficiency treatment of waste tantalum capacitors (WTCs) and polyvinyl chloride (PVC) using subcritical water process. The treatment significantly reduced the temperature and reaction time for metal tantalum recovery from WTCs, and improved the dechlorination efficiency of PVC. The optimized conditions resulted in 100% resin conversion efficiency of WTCs and 97.39% dechlorination efficiency of PVC. The interaction between decomposition products of WTCs and PVC produced a high level of benzoic acid.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingda Li, Jiaming Song, Yuting Li, Chaoying Meng, Shuxian Wang, Linghao Zong, Honggang Ye, Yishuai Jing, Feng Teng, Peng Hu, Haibo Fan, Guangde Chen, Xin Zhao
Summary: CdPS3 nanosheets, especially those exfoliated by sodium cholate, have shown highly efficient photocatalytic degradation performance. The strong dark adsorption and dye-sensitized photocatalytic properties of CdPS3 nanosheets contribute to high degradation efficiencies of various pollutants.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Dongxu Ouyang, Yimei Pang, Bo Liu, Zhirong Wang
Summary: This study investigates the thermal runaway features of lithium-ion cells under tunnel conditions, considering different states of charge and tunnel ceilings. The results show that the tunnel visibility is affected by the smoke generated during thermal runaway, and the shape of the tunnel ceiling influences the temperature rise differently.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)