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学者姓名：黄宗侯
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Abstract ：
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 等. "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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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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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.
Keyword ：
Combustion kinetics Combustion kinetics Dominant mechanism Dominant mechanism Jet fire Jet fire Lithium-ion battery safety Lithium-ion battery safety Thermal runaway Thermal runaway
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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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Abstract ：
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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为科学评估高校实验室事故应急处置能力,文章基于霍尔三维模型,构建了高校实验室应急能力评估指标体系;采用G1序关系法和熵权法组合赋权确定各级指标权重,并提出了高校实验室应急能力评估组合赋权云模型.以某高校为研究对象,应用组合赋权云模型对该校实验室事故应急处置能力进行综合评估的结果表明,该方法能较好地解决评估过程模糊性与随机性强的问题,客观评估高校实验室应急能力水平,为提升高校实验室应急能力提供科学参考.
Keyword ：
G1序关系法 G1序关系法 云模型 云模型 应急能力评估 应急能力评估 熵权法 熵权法 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 刘卫东 , 葛樊亮 et al. 高校实验室应急能力评估指标体系构建与应用 [J]. | 化工高等教育 , 2024 , 41 (5) : 129-139 . |
| MLA | 阳富强 et al. "高校实验室应急能力评估指标体系构建与应用" . | 化工高等教育 41 . 5 (2024) : 129-139 . |
| APA | 阳富强 , 刘卫东 , 葛樊亮 , 黄宗侯 . 高校实验室应急能力评估指标体系构建与应用 . | 化工高等教育 , 2024 , 41 (5) , 129-139 . |
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开展劳动教育是落实立德树人根本任务、培育高素质专业人才的重要举措.文章分析了当前高校劳动教育存在的主要问题,结合安全工程专业的办学特点,介绍了福州大学与福建省消防救援总队合作共建"德勤技专创"五位一体的劳动教育基地的实践成效,并从劳动教育实训措施、条件保障、评价机制等方面阐述了该基地的建设内容.实践表明,依托该基地开展劳动教育有助于安全工程专业学生树立正确的劳动观念,提高职业安全素养.
Keyword ：
劳动教育 劳动教育 安全工程 安全工程 实践基地 实践基地 消防救援 消防救援
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| GB/T 7714 | 阳富强 , 李嘉鹏 , 黄宗侯 et al. 消防救援训练融入安全工程专业劳动教育的探索与实践 [J]. | 化工高等教育 , 2024 , 41 (6) : 144-150 . |
| MLA | 阳富强 et al. "消防救援训练融入安全工程专业劳动教育的探索与实践" . | 化工高等教育 41 . 6 (2024) : 144-150 . |
| APA | 阳富强 , 李嘉鹏 , 黄宗侯 , 葛樊亮 . 消防救援训练融入安全工程专业劳动教育的探索与实践 . | 化工高等教育 , 2024 , 41 (6) , 144-150 . |
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高校实验室是集聚和培养优秀专业人才、开展高水平科学研究的重要基地,但目前仍面临较多安全管理难题.现以"中科院某研究所高压反应釜爆炸事故"为例,采用PAR事故致因模型开展高校实验室安全管理研究,以安全感知—安全分析—安全应答(PAR)为节点,对实验室建设与管理处、中心实验室、实验室操作主体3个层面进行分析.研究表明,PAR模型能充分发挥安全信息的交流作用,从宏观、中观、微观3个层面进行事故致因分析,为完善实验室事故分析体系等提供有效支撑.本研究对高校实验室安全管理的安全信息分析和风险防控提供参考,对实验室安全管理有一定理论指导意义.
Keyword ：
PAR事故致因模型 PAR事故致因模型 安全信息 安全信息 安全管理 安全管理 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 黄宝娇 , 葛樊亮 et al. 高校实验室PAR事故致因模型构建及应用 [J]. | 实验室研究与探索 , 2024 , 43 (7) : 249-253 . |
| MLA | 阳富强 et al. "高校实验室PAR事故致因模型构建及应用" . | 实验室研究与探索 43 . 7 (2024) : 249-253 . |
| APA | 阳富强 , 黄宝娇 , 葛樊亮 , 黄宗侯 . 高校实验室PAR事故致因模型构建及应用 . | 实验室研究与探索 , 2024 , 43 (7) , 249-253 . |
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The occurrence of urban gas pipeline network accidents will pose a great threat to people's lives and property. To protect the lives and property of urban residents and ensure the normal operation of the city, this paper studied the influencing factors of urban gas pipeline network accidents. Firstly, the influencing factors of urban gas pipeline network accidents were summarized and the corresponding fishbone diagram was constructed following the data from the U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration. Secondly, based on the determined accident number model, the corresponding Bayesian network model was constructed to calculate the state probability and the sensitivity value. Finally, according to the relevant information of urban gas pipeline network management, combined with the numerical results of priori probability and sensitivity, an emergency linkage system based on the urban gas pipeline network was constructed. The calculation results of state probability and the sensitivity analysis indicate that corrosion is the most influential factor contributing to accidents in the urban gas pipeline network. The temperature change has the greatest influence on the occurrence of urban gas pipeline network accidents. Special attention should be paid to the prevention and management of these two aspects of the emergency linkage system. Besides, in order to verify the effectiveness of the system, this paper also uses AHP to evaluate the application of the system. This study aims to provide valuable insights for enhancing the safety management of urban gas pipeline networks, thereby elevating their safety management standards.
Keyword ：
Accident emergency linkage system Accident emergency linkage system Bayesian network Bayesian network emergency management emergency management Safety management Safety management Urban gas pipeline network accident Urban gas pipeline network accident
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| GB/T 7714 | Li, Shi-yi , Huang, Zong-hou , Ge, Fan-liang et al. An emergency linkage system of urban gas pipeline network based on Bayesian network [J]. | JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES , 2024 , 92 . |
| MLA | Li, Shi-yi et al. "An emergency linkage system of urban gas pipeline network based on Bayesian network" . | JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES 92 (2024) . |
| APA | Li, Shi-yi , Huang, Zong-hou , Ge, Fan-liang , Lin, Wei-dong , Yang, Fu-qiang . An emergency linkage system of urban gas pipeline network based on Bayesian network . | JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES , 2024 , 92 . |
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课程思政建设是落实立德树人根本任务的重要举措,在培养新时代高素质专业人才方面发挥着重要作用.文章剖析了安全工程专业课程思政建设中存在的问题,通过深入挖掘思政要素进行安全工程专业课程思政教学要点设计;针对安全工程专业实用性强、社会责任重的专业属性,以教育、专业、创新、实践、成效五个维度为着力点,构建了闭环式"五维一体"课程思政建设思路,以期实现从"育人"到"成果"的全过程课程思政建设,助力安全工程专业高素质人才的培养.
Keyword ：
五维一体 五维一体 安全工程 安全工程 教学设计 教学设计 课程思政 课程思政
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| GB/T 7714 | 阳富强 , 黄宝娇 , 黄宗侯 et al. 安全工程专业课程思政"五维一体"建设路径探索 [J]. | 化工高等教育 , 2024 , 41 (3) : 149-156 . |
| MLA | 阳富强 et al. "安全工程专业课程思政"五维一体"建设路径探索" . | 化工高等教育 41 . 3 (2024) : 149-156 . |
| APA | 阳富强 , 黄宝娇 , 黄宗侯 , 葛樊亮 . 安全工程专业课程思政"五维一体"建设路径探索 . | 化工高等教育 , 2024 , 41 (3) , 149-156 . |
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为探究高校实验室事故与各因素之间的复杂因果关系,该文基于模糊集定性比较分析方法,揭示不同条件组态对实验室事故产生的影响机制.首先,以"人-机-环-管"的安全管理体系为基础,构建针对高校实验室事故影响因素的分析框架,然后,从 30 起典型事故案例中提取 6 个条件变量,用于分析事故发生的条件组态.分析结果表明管理条件缺失或仪器设备故障是影响事故发生的核心条件,人的事前行为和事故应急处置通常作为事故发生边缘条件出现.最后,结合各种组态类型所展现出的规律提出了实验室安全管理建议,以期为实验室安全管理提供新视角.
Keyword ：
安全管理 安全管理 模糊集定性比较分析(fsQCA) 模糊集定性比较分析(fsQCA) 组态路径 组态路径 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 尹航 , 黄宗侯 et al. 基于fsQCA方法的高校实验室事故影响因素分析 [J]. | 实验技术与管理 , 2024 , 41 (3) : 257-262 . |
| MLA | 阳富强 et al. "基于fsQCA方法的高校实验室事故影响因素分析" . | 实验技术与管理 41 . 3 (2024) : 257-262 . |
| APA | 阳富强 , 尹航 , 黄宗侯 , 曾悦 . 基于fsQCA方法的高校实验室事故影响因素分析 . | 实验技术与管理 , 2024 , 41 (3) , 257-262 . |
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