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学者姓名：阳富强
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Abstract ：
Human error, as a major accident causal factor, can trigger an storage tank fire accident and delay the activation of active protection. In this work, a domino-human intervention model was proposed to assess the effect of human reliability on domino fire accidents. The optimized cognitive reliability and error analysis method (CREAM) was constructed to calculate the human error probability (HEP). The dynamic Bayesian network (DBN) of the domino-human intervention model was constructed by the probability of fire escalation and HEP. Among them, the analyzed network includes an initial accident scenario and a safety barrier protection scenario. Lastly, the domino-human intervention model was applied in a case study. The application of the model is validated in the case study, which confirms that HEP can reduce storage tank safety, as well as have a delayed effect on active protection. The proposed model will serve as an assessment tool for the effect of human reliability on domino accidents.
Keyword ：
Domino fire accident Domino fire accident Dynamic Bayesian network Dynamic Bayesian network Human error probability Human error probability Human intervention Human intervention Human reliability Human reliability
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| GB/T 7714 | Li, Xin , Ge, Fanliang , Lin, Weidong et al. A risk assessment method to quantify the effect of human reliability on storage tank safety combining optimized CREAM and dynamic Bayesian network [J]. | SAFETY SCIENCE , 2025 , 185 . |
| MLA | Li, Xin et al. "A risk assessment method to quantify the effect of human reliability on storage tank safety combining optimized CREAM and dynamic Bayesian network" . | SAFETY SCIENCE 185 (2025) . |
| APA | Li, Xin , Ge, Fanliang , Lin, Weidong , Yang, Fuqiang . A risk assessment method to quantify the effect of human reliability on storage tank safety combining optimized CREAM and dynamic Bayesian network . | SAFETY SCIENCE , 2025 , 185 . |
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微波辐射诱发的热效应与非热效应均会对煤岩产生一系列的影响,微波感应放电属于微波非热效应中的一种现象.煤作为一种非均质性强的多孔、富矿的骨架结构,内部的孔隙、矿物等均会对电场产生影响,不同组分颗粒间的微波放电现象及电场强化特性具有较大差别;而目前相关研究主要围绕在煤体中的煤基质上,忽略了煤体中的矿物及矿物本身形状不规则性带来的影响,导致对真实矿物颗粒间的放电机制以及影响其放电强度的因素仍不清楚.因此,通过绘图软件将电子计算机X射线断层扫描机(XCT)扫描获得的真实煤岩颗粒形状描绘出来,利用COMSOL Multiphyics软件模拟了微波场下真实煤岩颗粒的电场强化特性,并探讨了其产生的原因.结果表明:微波的传播方式及极化特性对颗粒间电场强化有显著影响,颗粒间电场强度在x传播y极化时最大;相对于其他5种颗粒组合,粒径和间距对黄铁矿-黄铁矿组合的电场强化效果最明显,煤岩颗粒组合电场强化的最佳效果出现在大粒径、无间距的情况下;颗粒间夹角的变化对电场强化效果有一定的影响,且各颗粒形状对应的电场强化最大值均出现在夹角为0°时;规则矿石颗粒(圆、正方形、五边形等)的电场强化效果与颗粒圆度系数直接相关,颗粒间电场强度最大值出现在颗粒尖端角度为60°左右、圆度系数为0.71的正三角形时;而不规则矿石颗粒的电场强度与圆度系数、分形维数并无关系,且随曲率的增大而逐渐增大;此外,碳质材料的石墨化程度会对电场强化效应产生较大的影响,电场强度随着石墨化程度增加而增加.
Keyword ：
不规则煤岩 不规则煤岩 微波 微波 散射 散射 数值模拟 数值模拟 电场强化 电场强化
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| GB/T 7714 | 孙晓婉 , 洪溢都 , 龙盛壹 et al. 微波激励下煤岩颗粒间电场强化特性研究 [J]. | 煤炭学报 , 2025 , 50 (3) : 1597-1608 . |
| MLA | 孙晓婉 et al. "微波激励下煤岩颗粒间电场强化特性研究" . | 煤炭学报 50 . 3 (2025) : 1597-1608 . |
| APA | 孙晓婉 , 洪溢都 , 龙盛壹 , 李贺 , 刘猛 , 阳富强 . 微波激励下煤岩颗粒间电场强化特性研究 . | 煤炭学报 , 2025 , 50 (3) , 1597-1608 . |
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Thermal runaway propagation (TRP) inside lithium iron phosphate (LFP) batteries is an important part of TRP process of the module, but it has not been known clearly. This work experimentally and numerically investigated the overheat-induced thermal runaway (TR) characteristics of 243 Ah LFP battery and the influence mechanism of heating power on TRP within the battery. A series of TR experiments under 400, 700 and 1000 W heating power were conducted. The relationship between peak jet velocity and internal average TRP velocity (vTR) was revealed for the first time. Results show safety venting and TR time decreases with increasing heating power, while the internal TRP time prolongs. Batteries with faster internal TRP velocity tend to own higher peak jet velocity. The relationship between vTR and heating power is fitted as y = 0.2421e_x/466.8843 +0.2351 based on simulation result. vTR almost decreases linearly with heating power in the range of 200-1000 W, and then enters a plateau-like descending phase. In critical TR state, the width of TR region widens as heating power increases. The acceleration of vTR induced by low heating power is mainly attributed to a better pre-heating effect in nonTR region. This work can provide important guidance for the safety design of LIB batteries.
Keyword ：
Jet velocity Jet velocity Lithium ion battery safety Lithium ion battery safety Thermal runaway Thermal runaway Thermal runaway propagation Thermal runaway propagation
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| GB/T 7714 | Huang, Zonghou , Duan, Qiangling , Li, Jia et al. Experimental and numerical investigation of heating power effect on thermal runaway propagation within large-format lithium iron phosphate battery [J]. | JOURNAL OF ENERGY STORAGE , 2025 , 109 . |
| MLA | Huang, Zonghou et al. "Experimental and numerical investigation of heating power effect on thermal runaway propagation within large-format lithium iron phosphate battery" . | JOURNAL OF ENERGY STORAGE 109 (2025) . |
| APA | Huang, Zonghou , Duan, Qiangling , Li, Jia , Yang, Fuqiang , Sun, Jinhua , Wang, Qingsong . Experimental and numerical investigation of heating power effect on thermal runaway propagation within large-format lithium iron phosphate battery . | JOURNAL OF ENERGY STORAGE , 2025 , 109 . |
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The spontaneous combustion of sulfide ore piles poses a significant threat to miners' health and mining safety. In this work, numerical simulations of the temperature, velocity, and concentration field during the self-heating of sulfide ore piles were conducted using COMSOL Multiphysics. A self-heating model was established based on porous media fluid dynamics and heat transfer theory. The simulation parameters were determined, and the numerical solution of the heat conduction equation for sulfide ores was obtained. The results indicate a three-stage temperature progression: slow oxidation (0–10 days, with temperatures below 335 K), rapid heating (10–16 days, with a peak temperature of 926 K), and gradual cooling (16–24 days). The stacking method significantly influences the self-heating temperature field. Larger cross-sectional areas, stack heights, and stack angles of ore piles lead to higher temperatures and shorter safe stacking times. Furthermore, the lower the porosity and the slower the ambient wind velocity, the greater the risk of spontaneous combustion in a stockpile due to heat accumulation. This work can provide a predictive framework for optimizing ore pile geometry and ventilation strategies, offering practical insights to mitigate spontaneous combustion risks in mining operations. © 2025 The Institution of Chemical Engineers
Keyword ：
Electric heating Electric heating Heat conduction Heat conduction Industrial heating Industrial heating Mine rescue Mine rescue Mine safety Mine safety
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| GB/T 7714 | Liu, Weidong , Huang, Yujie , Yin, Hang et al. Multi-physics modelling and simulation on the spontaneous heating of sulfide ores [J]. | Process Safety and Environmental Protection , 2025 , 199 . |
| MLA | Liu, Weidong et al. "Multi-physics modelling and simulation on the spontaneous heating of sulfide ores" . | Process Safety and Environmental Protection 199 (2025) . |
| APA | Liu, Weidong , Huang, Yujie , Yin, Hang , Yang, Fuqiang , Hong, Yidu . Multi-physics modelling and simulation on the spontaneous heating of sulfide ores . | Process Safety and Environmental Protection , 2025 , 199 . |
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Microwave radiation can produce various thermal and non-thermal effects on coal particles. Microwave-induced plasma is one of the phenomena of microwave non-thermal effects. However, the microwave-induced plasma mechanism of coal particles is still unclear in previous studies. Moreover, the effect of mineral composition in coal and the irregularity of mineral shape on microwave-induced plasma has been ignored. The effect of mineral components, particle size, spacing, particle angle, particle shape and graphitization degree on microwave induced plasma was studied. It was found that different components of coal particles have significant variations in the intensity of microwave discharge due to their own dielectric properties. The electron density of the coal matrix combination weaker than that of the pyrite combination by 1 similar to 2 orders of magnitude. When other particles are combined with pyrite particles, the plasma distribution is lopsided and biased to pyrite particles. As the particle size increases, the time required to reach the maximum electron density decreases, making the discharge process easier. When the particle spacing is smaller than 20 mu m, plasma is generated at both ends of the particles. However, as the spacing increases, plasma is generated between the particles, resulting in a decrease in electron density. Moreover, the electric field between the particles gradually weakens with the angle increasing. The microwave discharge is weakest when the angle increases to 90 degrees. The electric field strengthening effect of irregular coal particles is directly related to the value of particle curvature. In addition, the carbonaceous materials with high graphitization degree can promote more significant discharge effect.
Keyword ：
Coal Coal Microwave discharge Microwave discharge Plasma Plasma Pyrite Pyrite
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| GB/T 7714 | Sun, Xiaowan , Long, Shengyi , Hong, Yidu et al. Microwave induced plasma of coal particles by numerical simulation [J]. | FUEL , 2025 , 384 . |
| MLA | Sun, Xiaowan et al. "Microwave induced plasma of coal particles by numerical simulation" . | FUEL 384 (2025) . |
| APA | Sun, Xiaowan , Long, Shengyi , Hong, Yidu , Hong, Biqiong , Li, He , Liu, Meng et al. Microwave induced plasma of coal particles by numerical simulation . | FUEL , 2025 , 384 . |
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该文结合心理潜变量和实验室环境因素,构建了高校实验室安全心理分析结构模型.首先研究了模型构成因素与个体安全心理之间的逻辑关系,然后运用解释结构模型法构建适用于分析高校实验室安全心理的 5 层心理递进结构模型,最后利用交叉影响矩阵相乘法计算其驱动力和依赖性大小.结果表明,规章制度和责任制度建设、安全教育培训、心理干预在高校实验室安全管理中具有显著地位.基于分析结果,采用理性情绪疗法等心理学方法,建立安全教育培训、情绪支持网络、心理健康检测三位一体的实验人员心理干预机制,为高校实验室人员心理干预提供决策支持.
Keyword ：
安全管理 安全管理 心理干预 心理干预 心理潜变量 心理潜变量 心理韧性 心理韧性 解释结构模型 解释结构模型 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 刘海丰 , 黄宗侯 . 基于心理潜变量的高校实验室安全心理分析及干预机制 [J]. | 实验技术与管理 , 2025 , 42 (4) : 252-258 . |
| MLA | 阳富强 et al. "基于心理潜变量的高校实验室安全心理分析及干预机制" . | 实验技术与管理 42 . 4 (2025) : 252-258 . |
| APA | 阳富强 , 刘海丰 , 黄宗侯 . 基于心理潜变量的高校实验室安全心理分析及干预机制 . | 实验技术与管理 , 2025 , 42 (4) , 252-258 . |
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Jet fire is a typical behavior of Li-ion batteries during thermal runaway (TR), which is one of the main factors causing fire accidents in battery systems, but its dynamic dominant mechanism is still unclear. Therefore, this paper experimentally investigated the dynamic evolution of jet fire of lithium iron phosphate (LFP) and lithium nickel‑cobalt-manganate (NCM) batteries with the same capacity. A novel method based on image recognition algorithm and nonlinear fitting was proposed to reveal the dominant mechanism of jet fire and to further divide its process into stages. Besides, the effect of the state of charge (SOC)on the dynamics of jet fire was quantified. The results show the jet fire of 50%SOC NCM battery goes through five stages successively: buoyancy dominant, buoyancy-momentum co-dominant, momentum dominant, buoyancy- momentum co-dominant and buoyancy dominant, which is one more momentum dominant stage than that of 50 % SOC LFP batteries. For both 50 % SOC NCM and LFP batteries, the time ratio of buoyancy-momentum co-dominant during TR are the highest, reaching 85.1 % and 79.1 %, respectively. The outlet kinetic energy of 50%SOC LFP battery is greater than that of buoyancy work during TR process, while the proportion of time that the kinetic energy on fire is greater than that of buoyancy work in NCM battery is 47.49 %, and the time ratio of pure momentum-dominated is 5.98 %. Furthermore, the effect of gas outlet momentum on the fire increases with the increase of SOC. This paper can provide a theoretical direction for reducing the fire hazard of LIBs. © 2025
Keyword ：
Buoyancy Buoyancy Charging time Charging time Electric accidents Electric accidents Fire hazards Fire hazards Health hazards Health hazards Kinetic parameters Kinetic parameters Kinetic theory of gases Kinetic theory of gases Lithium-ion batteries Lithium-ion batteries State of charge State of charge
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| GB/T 7714 | Huang, Zonghou , Jin, Kaiqiang , Yang, Fuqiang et al. Dynamic characteristics of thermal runaway jet fire of Li-ion batteries [J]. | Journal of Energy Storage , 2025 , 125 . |
| MLA | Huang, Zonghou et al. "Dynamic characteristics of thermal runaway jet fire of Li-ion batteries" . | Journal of Energy Storage 125 (2025) . |
| APA | Huang, Zonghou , Jin, Kaiqiang , Yang, Fuqiang , Wang, Qingsong , Hou, Yanan , Qin, Peng . Dynamic characteristics of thermal runaway jet fire of Li-ion batteries . | Journal of Energy Storage , 2025 , 125 . |
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| GB/T 7714 | Shi, Yongqian , Huang, Ruizhe , Liu, Miao et al. Hierarchical rigid porous composites towards impact resistance and fire safety (vol 270, 111139, 2024) [J]. | COMPOSITES PART B-ENGINEERING , 2024 , 273 . |
| MLA | Shi, Yongqian et al. "Hierarchical rigid porous composites towards impact resistance and fire safety (vol 270, 111139, 2024)" . | COMPOSITES PART B-ENGINEERING 273 (2024) . |
| APA | Shi, Yongqian , Huang, Ruizhe , Liu, Miao , Han, Junqiang , Xu, Peihui , Feng, Yuezhan et al. Hierarchical rigid porous composites towards impact resistance and fire safety (vol 270, 111139, 2024) . | COMPOSITES PART B-ENGINEERING , 2024 , 273 . |
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Urban gas pipeline networks (UGPN) provide important support for high-quality urbanization. Therefore, it is imperative to analyze and assess the potential failures of UGPN. A novel probabilistic analysis method is proposed for assessing the safety and resilience of UGPN. Firstly, Bow-Tie analysis is used to identify faults. Then, a four-dimensional resilience assessment network is developed. Bayesian network is utilized to model the relationship between the variables, while dynamic Bayesian network is used to consider the dynamic nature of the system. The results of the study show that the proposed model can accurately estimate faults, consequences, and influence paths. Furthermore, the resilience analysis shows that monitoring the objective conditions is crucial and that the initial failure probability of the UGPN decreases from 0.03767 % to 0.01435 % when connected to a resilience network, indicating that considering resilience can effectively improve the reliability and safety of the UGPN. Two application examples are presented in the paper to validate the functionality of the proposed model. The proposed model can be used to set the state of UGPN to predict the probability of occurrence of a specific event and its consequences and to simulate the improvement trend of UGPN based on the direction of focus of future work.
Keyword ：
Bayesian network Bayesian network Dynamic Bayesian network Dynamic Bayesian network Gas pipeline network resilience Gas pipeline network resilience Probabilistic analysis Probabilistic analysis Reliability Reliability Urban gas pipeline network Urban gas pipeline network
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| GB/T 7714 | Chen, Xing-lin , Huang, Zong-hou , Ge, Fan-liang et al. A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2024 , 248 . |
| MLA | Chen, Xing-lin et al. "A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 248 (2024) . |
| APA | Chen, Xing-lin , Huang, Zong-hou , Ge, Fan-liang , Lin, Wei-dong , Yang, Fu-qiang . A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2024 , 248 . |
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Forest fires will do great harm to the ecological environment. At present, the most important research field is the study of the causes of forest fires, and the failure to determine the causes will greatly hinder the prevention, control and safety management of forest fires. In order to solve this problem, this paper constructs a Bayesian network to calculate the state probability and sensitivity after determining the factors related to forest fire. Secondly, on the basis of constructing Bayesian network, the Bow-tie model is constructed according to the consequences of forest fire. The constructed Bow-tie model contains 7 influencing factors and 5 consequences, and 26 corresponding control measures. Finally, through the analysis of Bayesian network and bow tie model, the forest fire prevention system is constructed. According to the calculation results of the Bayesian network, the probability of forest fires being at high risk of occurrence is higher for three factors: agriculture, forestry and water expenditure, rural population density and precipitation. Changes in rural population density and humidity have the greatest impact on the occurrence of forest fires. In combination with the Bow-tie model, human factors are the most important factors leading to the occurrence of forest fires, and the material, environmental, and management factors are the secondary factors. Based on the forest control system, the prevention and management measures are put forward. This research can provide reference for the control of forest fire and reduce the occurrence of similar forest fires.
Keyword ：
Bayesian network Bayesian network Bow-tie model Bow-tie model Causal analysis Causal analysis Forest fire Forest fire Management measures Management measures
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| GB/T 7714 | Li, Shi-yi , Li, Xin , Yang, Fu-qiang et al. Etiological study on forest fire accidents using Bow-tie model and Bayesian network [J]. | NATURAL HAZARDS , 2024 , 120 (13) : 12427-12449 . |
| MLA | Li, Shi-yi et al. "Etiological study on forest fire accidents using Bow-tie model and Bayesian network" . | NATURAL HAZARDS 120 . 13 (2024) : 12427-12449 . |
| APA | Li, Shi-yi , Li, Xin , Yang, Fu-qiang , Ge, Fan-liang . Etiological study on forest fire accidents using Bow-tie model and Bayesian network . | NATURAL HAZARDS , 2024 , 120 (13) , 12427-12449 . |
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