Journal of Loss Prevention in The Process Industries最新文献

英文中文

A study on the mechanisms of non-adaptive psychological emotional contagion and evacuation behavior in chemical parks

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-22 DOI: 10.1016/j.jlp.2025.105655

Ran Ye , Yong Pan , Qi Liu , Hongcheng Lu , Jinghong Wang

In recent years, the ongoing expansion and advancement of chemical parks have led to a significant increase in the frequency of chemical accidents, which pose a substantial threat to both public safety and property. However, the majority of casualties are not caused directly by the accidents themselves, but rather by extreme behaviors triggered by non-adaptive psychological responses during the evacuation process. Consequently, this study examines the influence of maladaptive psychological emotional contagion on the emergency evacuation processes within chemical parks. Initially, the mechanisms underlying emotional contagion caused by maladaptive psychological responses during evacuation are analyzed. A system dynamics model of pedestrian emotional contagion is constructed using the SEIR (Susceptible-Exposed-Infectious-Recovered) framework, which quantitatively assesses the influence of various factors on the emotional contagion process while exploring the dynamic behavior of emotional contagion within a crowd. The study reveals that increased environmental familiarity with the results in a reduction in the intensity of emotional contagion; as the severity of the disaster spread, the pace of emotional contagion accelerates, and contagion between pedestrians intensifies; furthermore, as the intervention of emergency personnel increases, the number of Recovered significantly rises, though the growth rate eventually diminishes. Additionally, early intervention proves effective in mitigating emotional contagion; however, as the intensity of the intervention rises, its efficacy diminishes. By simulating a real chemical park evacuation scenario, the study demonstrates that moderate panic can enhance evacuation efficiency, while confirming the trend of environmental familiarity in real-world scenarios. This paper offers theoretical insights into the evolutionary mechanisms of maladaptive psychological emotional contagion, while providing guidance for the formulation of effective evacuation strategies.

{"title":"A study on the mechanisms of non-adaptive psychological emotional contagion and evacuation behavior in chemical parks","authors":"Ran Ye , Yong Pan , Qi Liu , Hongcheng Lu , Jinghong Wang","doi":"10.1016/j.jlp.2025.105655","DOIUrl":"10.1016/j.jlp.2025.105655","url":null,"abstract":"<div><div>In recent years, the ongoing expansion and advancement of chemical parks have led to a significant increase in the frequency of chemical accidents, which pose a substantial threat to both public safety and property. However, the majority of casualties are not caused directly by the accidents themselves, but rather by extreme behaviors triggered by non-adaptive psychological responses during the evacuation process. Consequently, this study examines the influence of maladaptive psychological emotional contagion on the emergency evacuation processes within chemical parks. Initially, the mechanisms underlying emotional contagion caused by maladaptive psychological responses during evacuation are analyzed. A system dynamics model of pedestrian emotional contagion is constructed using the SEIR (Susceptible-Exposed-Infectious-Recovered) framework, which quantitatively assesses the influence of various factors on the emotional contagion process while exploring the dynamic behavior of emotional contagion within a crowd. The study reveals that increased environmental familiarity with the results in a reduction in the intensity of emotional contagion; as the severity of the disaster spread, the pace of emotional contagion accelerates, and contagion between pedestrians intensifies; furthermore, as the intervention of emergency personnel increases, the number of Recovered significantly rises, though the growth rate eventually diminishes. Additionally, early intervention proves effective in mitigating emotional contagion; however, as the intensity of the intervention rises, its efficacy diminishes. By simulating a real chemical park evacuation scenario, the study demonstrates that moderate panic can enhance evacuation efficiency, while confirming the trend of environmental familiarity in real-world scenarios. This paper offers theoretical insights into the evolutionary mechanisms of maladaptive psychological emotional contagion, while providing guidance for the formulation of effective evacuation strategies.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105655"},"PeriodicalIF":3.6,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scenario deduction of explosion accident based on fuzzy dynamic Bayesian network 基于模糊动态贝叶斯网络的爆炸事故情景推演

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-16 DOI: 10.1016/j.jlp.2025.105613

Fuqiang Lu, Fan Meng, Hualing Bi

In order to effectively tackle dynamic and uncertain challenges related to hazardous chemical accidents' occurrence and progression, this research establishes a model for identifying scenario elements in hazardous chemical explosion incidents based on crucial scenario states, vulnerable environmental conditions, emergency responses, and evolving objectives during these incidents. Subsequently applying this model to dynamic Bayesian network (DBN) modeling enables integration of triangular fuzzy set theory into DBN methodology for constructing a fuzzy dynamic Bayesian network (FDBN) specific to hazardous chemical accidents. Additionally leveraging complex networking expertise allows conducting sensitivity analyses along with critical node assessments pertaining to impact factor nodes associated with disaster-prone environments as well as emergency responses. The findings demonstrate that computed probabilities within this simulated scenario network align with actual occurrences of these incidents while also simulating their evolutionary trajectories across diverse disaster-prone settings alongside various emergency response scenarios. Moreover, this investigation identifies pivotal influencing factors including ambient surroundings as well as firefighting capabilities thereby furnishing essential decision support for managing such emergencies.

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引用次数: 0

Study on the occurrence path and prediction of unsafe behaviours of hazardous chemical storage personnel

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-15 DOI: 10.1016/j.jlp.2025.105653

Wei Jiang, Mengqi Zhang, Mushan Li, Yuan Xu

The storage of hazardous chemicals is a high-risk area prone to accidents, which can result in severe environmental pollution, endanger personnel safety, and cause significant economic losses. By applying an improved HFACS model, tailored for hazardous chemical storage and combined with Bayesian methods, a more effective analysis of unsafe behaviour in personnel can be achieved. First, a model for analysing unsafe behaviour in hazardous chemical storage was developed, and 14 relevant factors were identified. Parameter learning was then conducted to preliminarily determine key nodes. Next, the mutual information matrix was calculated, and sensitivity analysis was performed to update the model. Path analysis was then employed to examine the impact of various factors on three types of unsafe behaviour: skill-based errors, decision errors, and violations. Finally, posterior probabilities were calculated to illustrate the unsafe behaviour analysis method. Violations are significantly influenced by the organisational climate, skill-based errors are more affected by the technical environment, and decision errors are primarily influenced by inadequate supervision and poor operational planning. In hazardous chemical storage working scenarios, attention should be focused on improving the technical environment to prevent skill-based errors, addressing inadequate supervision and operational planning to avoid decision errors, and improving the organisational climate to prevent violations. This study presents a methodology, applicable to the hazardous chemical storage industry, that predicts potential unsafe behaviour based on certain factors and provides insights into the causes of accidents that may not be clearly identified in accident analysis reports.

{"title":"Study on the occurrence path and prediction of unsafe behaviours of hazardous chemical storage personnel","authors":"Wei Jiang, Mengqi Zhang, Mushan Li, Yuan Xu","doi":"10.1016/j.jlp.2025.105653","DOIUrl":"10.1016/j.jlp.2025.105653","url":null,"abstract":"<div><div>The storage of hazardous chemicals is a high-risk area prone to accidents, which can result in severe environmental pollution, endanger personnel safety, and cause significant economic losses. By applying an improved HFACS model, tailored for hazardous chemical storage and combined with Bayesian methods, a more effective analysis of unsafe behaviour in personnel can be achieved. First, a model for analysing unsafe behaviour in hazardous chemical storage was developed, and 14 relevant factors were identified. Parameter learning was then conducted to preliminarily determine key nodes. Next, the mutual information matrix was calculated, and sensitivity analysis was performed to update the model. Path analysis was then employed to examine the impact of various factors on three types of unsafe behaviour: skill-based errors, decision errors, and violations. Finally, posterior probabilities were calculated to illustrate the unsafe behaviour analysis method. Violations are significantly influenced by the organisational climate, skill-based errors are more affected by the technical environment, and decision errors are primarily influenced by inadequate supervision and poor operational planning. In hazardous chemical storage working scenarios, attention should be focused on improving the technical environment to prevent skill-based errors, addressing inadequate supervision and operational planning to avoid decision errors, and improving the organisational climate to prevent violations. This study presents a methodology, applicable to the hazardous chemical storage industry, that predicts potential unsafe behaviour based on certain factors and provides insights into the causes of accidents that may not be clearly identified in accident analysis reports.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105653"},"PeriodicalIF":3.6,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of debris mixing on ignition and propagation of dust clouds in fine rice husk

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-11 DOI: 10.1016/j.jlp.2025.105651

Jinglin Zhang , Gang Li , Zhenguo Du , Shikai Bao , Chang Li , Zhiyang Zhang , Chunmiao Yuan

As the associated product of rice husk dust, large particles of crushed brown rice (abbreviated as debris) are widely found in grain dust processing and transportation industry. The rice husk dust is combined with huge pieces of debris, which can reduce the consequences of dust explosion in the mixed dust cloud. Debris added at a 70 % ratio considerably slows the spread of flames. However, at 500 g/m³ of dust cloud concentration, including a 10 % percentage of debris increases the average flame spread velocity (AFSV) by 16.9 % and the maximum flame spread velocity (MFSV) by 33.3 %. This intensify phenomenon persists across varying dust cloud concentrations. Tests on the dispersibility of blended dust clouds revealed that fine dust particles that have been adsorbed on top of bigger particles typically stripped off upon lifted, increasing the blended dust cloud's dispersibility. This leads to the formation of a dust cloud system with efficiently smaller particle sizes, consequently resulting in an increase in flame spread velocity (FSV). Moreover, owing to the enhanced dispersibility of the dust cloud due to the inclusion of larger particles, the minimum ignition temperature (MIT) of rice husk dust clouds decreases. Analysis of the angle of repose (AOR) and Hausner ratio (HR) indicates that the incorporation of larger particles improves the flowability of the blended dust cloud, thereby increasing the risk of dust explosions.

{"title":"Effect of debris mixing on ignition and propagation of dust clouds in fine rice husk","authors":"Jinglin Zhang , Gang Li , Zhenguo Du , Shikai Bao , Chang Li , Zhiyang Zhang , Chunmiao Yuan","doi":"10.1016/j.jlp.2025.105651","DOIUrl":"10.1016/j.jlp.2025.105651","url":null,"abstract":"<div><div>As the associated product of rice husk dust, large particles of crushed brown rice (abbreviated as debris) are widely found in grain dust processing and transportation industry. The rice husk dust is combined with huge pieces of debris, which can reduce the consequences of dust explosion in the mixed dust cloud. Debris added at a 70 % ratio considerably slows the spread of flames. However, at 500 g/m<sup>3</sup> of dust cloud concentration, including a 10 % percentage of debris increases the average flame spread velocity (AFSV) by 16.9 % and the maximum flame spread velocity (MFSV) by 33.3 %. This intensify phenomenon persists across varying dust cloud concentrations. Tests on the dispersibility of blended dust clouds revealed that fine dust particles that have been adsorbed on top of bigger particles typically stripped off upon lifted, increasing the blended dust cloud's dispersibility. This leads to the formation of a dust cloud system with efficiently smaller particle sizes, consequently resulting in an increase in flame spread velocity (FSV). Moreover, owing to the enhanced dispersibility of the dust cloud due to the inclusion of larger particles, the minimum ignition temperature (MIT) of rice husk dust clouds decreases. Analysis of the angle of repose (AOR) and Hausner ratio (HR) indicates that the incorporation of larger particles improves the flowability of the blended dust cloud, thereby increasing the risk of dust explosions.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105651"},"PeriodicalIF":3.6,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk analysis of urban low-pressure natural gas networks based on hybrid dynamic Bayesian networks

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-11 DOI: 10.1016/j.jlp.2025.105649

Yangfan Zhou , Jianchun Fan , Baoqian Dai , Shengnan Wu , Rujun Wang , Xinwei Yin , Bingbing Deng , Xiaofeng Zhang

With the accelerating pace of urbanization, natural gas has become an increasingly vital component of urban energy supply due to its status as a clean energy source. As the "last mile" of gas transportation, the reliability of low-pressure natural gas pipeline networks directly affects both the quality of life for urban residents and public safety. However, these networks face numerous uncertainties, such as equipment aging, environmental changes, and operational errors, all of which pose significant safety risks. To effectively assess the risk level of urban natural gas networks and enhance their reliability, this paper proposes a risk analysis approach based on a hybrid Dynamic Bayesian Network for urban low-pressure natural gas pipeline systems. First, failure data from an urban low-pressure network is statistically analyzed to identify operational characteristics and potential failure factors, leading to the establishment of a comprehensive risk analysis index system. Then, combining the dynamic Bayesian network model with an improved failure probability model with historical accident data, real-time monitoring data, and expert experience, the proposed approach dynamically updates the network's safety status, predicting the failure probability trend over future time periods and tracing critical weak points in the network. Furthermore, through an integrated reliability evaluation, targeted optimization strategies and improvement measures are proposed to ensure the long-term safe and stable operation of the low-pressure natural gas network. This study provides theoretical support and technical solutions for enhancing the safety and reliability of urban natural gas pipeline systems.

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引用次数: 0

Research on the explosion suppression effect of foam fire extinguishing agents on methane/air explosions under obstacle current limiting conditions 障碍电流限制条件下泡沫灭火剂对甲烷/空气爆炸的抑爆效果研究

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-09 DOI: 10.1016/j.jlp.2025.105650

Shiwei Li , Chang Lu , Zhongchao Li , Wei Wang , Di Wang , Bei Pei , Rongkun Pan

To investigate the suppression effects on gas explosion under the synergistic action of obstacles with varying blockage rates and foam extinguishing agents, a series of experimental studies were conducted. The comparison and analysis of blast mitigation performance were carried out by varying the spray positions of different foam extinguishing agents under blockage rates of 25 %, 50 %, and 75 %. The results indicate that due to the throttling compression effect of obstacles on explosion flames and their retention blockage effect on foam, better blast mitigation is achieved when foam extinguishing agents are sprayed downstream of the obstacles, with greater blockage rates and shorter distances between the spray nozzles and the obstacles. When foamed fire extinguishing agents are sprayed upstream of obstacles, a higher blockage rate of the obstacle and a greater distance from the nozzle to the obstacle result in a broader foam suppression zone, more effective interaction between the foam agents and the explosive flame, and better explosion suppression performance. Additionally, the foam agents can absorb the high temperatures generated by the explosion, effectively reducing overpressure and the peak rate of pressure rise. However, the position where the foam fire extinguishing agents are sprayed significantly influences the rate of flame propagation during the explosion; when sprayed upstream of the obstacle, the suspended foam causes earlier turbulence in the explosive flame, increasing the flame propagation rate. Conversely, spraying downstream of the obstacle can effectively lower the flame propagation rate.

{"title":"Research on the explosion suppression effect of foam fire extinguishing agents on methane/air explosions under obstacle current limiting conditions","authors":"Shiwei Li , Chang Lu , Zhongchao Li , Wei Wang , Di Wang , Bei Pei , Rongkun Pan","doi":"10.1016/j.jlp.2025.105650","DOIUrl":"10.1016/j.jlp.2025.105650","url":null,"abstract":"<div><div>To investigate the suppression effects on gas explosion under the synergistic action of obstacles with varying blockage rates and foam extinguishing agents, a series of experimental studies were conducted. The comparison and analysis of blast mitigation performance were carried out by varying the spray positions of different foam extinguishing agents under blockage rates of 25 %, 50 %, and 75 %. The results indicate that due to the throttling compression effect of obstacles on explosion flames and their retention blockage effect on foam, better blast mitigation is achieved when foam extinguishing agents are sprayed downstream of the obstacles, with greater blockage rates and shorter distances between the spray nozzles and the obstacles. When foamed fire extinguishing agents are sprayed upstream of obstacles, a higher blockage rate of the obstacle and a greater distance from the nozzle to the obstacle result in a broader foam suppression zone, more effective interaction between the foam agents and the explosive flame, and better explosion suppression performance. Additionally, the foam agents can absorb the high temperatures generated by the explosion, effectively reducing overpressure and the peak rate of pressure rise. However, the position where the foam fire extinguishing agents are sprayed significantly influences the rate of flame propagation during the explosion; when sprayed upstream of the obstacle, the suspended foam causes earlier turbulence in the explosive flame, increasing the flame propagation rate. Conversely, spraying downstream of the obstacle can effectively lower the flame propagation rate.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105650"},"PeriodicalIF":3.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-factor coupling risk assessment method in relation to coal mine gas explosion

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-04 DOI: 10.1016/j.jlp.2025.105648

Huimin Guo, Shugang Li, Lianhua Cheng

The coal mine gas explosion accident is due to the interaction of risk factors. Considering the weaknesses in the multi-factor coupling risk measurement and control in the evolution process of gas explosion accidents, this study proposes a multi-factor coupling risk measurement method for gas explosion employing case analysis, on-site investigation, and theoretical research. Firstly, the grounded theory was used to analyze 125 cases of large and above gas explosion accidents, and a gas explosion risk assessment index system was established. Then, combined with the risk coupling theory, the interaction between risk factors was analyzed, and a multi-factor coupling risk assessment model for gas explosion based on the C-OWA operator and interaction matrix was constructed. Finally, the coal mine is selected for on-site inspection and application. The results show that the calculation results of the assessment model are consistent with the actual situation on site, which has certain rationality and feasibility. In addition, this method can avoid the occurrence of gas explosion accidents since the single risk factor does not break through the threshold, and the coupling risk value exceeds the system threshold, which plays an important role in the advanced control and prediction of coal mine gas explosion risk.

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引用次数: 0

Infrared and visible image fusion algorithm for fire scene environment perception

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-04-01 DOI: 10.1016/j.jlp.2025.105647

Dan Zhang , Haibin Meng , Haowei Yao , Zhen Lou , Wenlong Wang , Fengju Shang , Jiaqing Zhang

The fire scene environment is characterized by harsh factors such as high temperatures and dense smoke, which result in poor visual effects for single infrared and visible light images. Existing methods for the fusion of infrared and visible light images have been found to be less effective in “fire scene” environments, suffering from difficulties in capturing global information and insufficient extraction of cross-modal features. To address these issues, this paper proposes an algorithm for the fusion of infrared and visible light images that combines CNN (Convolutional Neural Network) with Mult-Head Transformer, effectively enhancing the quality of the fused images. The proposed fusion algorithm was experimentally validated on a self-compiled “fire scene” dataset against multiple comparative algorithms. Experimental results demonstrate that the proposed fusion algorithm has clear advantages over existing fusion methods in both subjective visual effects and objective evaluation metrics. Furthermore, ablation experiments were conducted to analyze the effectiveness of the proposed joint encoder and fusion strategy. Using the YOLOv8s recognition algorithm for target detection, the results of target detection in the fused images were compared with those in the original infrared and visible light images. The experimental outcomes confirm the effectiveness of the proposed fusion algorithm in the task of infrared-visible light image fusion, significantly improving target recognition in fire scene environments.

{"title":"Infrared and visible image fusion algorithm for fire scene environment perception","authors":"Dan Zhang , Haibin Meng , Haowei Yao , Zhen Lou , Wenlong Wang , Fengju Shang , Jiaqing Zhang","doi":"10.1016/j.jlp.2025.105647","DOIUrl":"10.1016/j.jlp.2025.105647","url":null,"abstract":"<div><div>The fire scene environment is characterized by harsh factors such as high temperatures and dense smoke, which result in poor visual effects for single infrared and visible light images. Existing methods for the fusion of infrared and visible light images have been found to be less effective in “fire scene” environments, suffering from difficulties in capturing global information and insufficient extraction of cross-modal features. To address these issues, this paper proposes an algorithm for the fusion of infrared and visible light images that combines CNN (Convolutional Neural Network) with Mult-Head Transformer, effectively enhancing the quality of the fused images. The proposed fusion algorithm was experimentally validated on a self-compiled “fire scene” dataset against multiple comparative algorithms. Experimental results demonstrate that the proposed fusion algorithm has clear advantages over existing fusion methods in both subjective visual effects and objective evaluation metrics. Furthermore, ablation experiments were conducted to analyze the effectiveness of the proposed joint encoder and fusion strategy. Using the YOLOv8s recognition algorithm for target detection, the results of target detection in the fused images were compared with those in the original infrared and visible light images. The experimental outcomes confirm the effectiveness of the proposed fusion algorithm in the task of infrared-visible light image fusion, significantly improving target recognition in fire scene environments.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105647"},"PeriodicalIF":3.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid mixture explosions in an industrial polymer production process

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-03-31 DOI: 10.1016/j.jlp.2025.105646

Anton Schrader , Katherine Axani , Mohammad Alauddin , Alison Scott , Chris Cloney , Paul Amyotte

This paper presents research on the explosibility of industrial high-density polyethylene (HDPE) dust. Experiments were conducted to investigate the explosion behaviour of the HDPE dust as well as of HDPE/ethylene hybrid mixtures. The dust explosion results further emphasize the importance of avoidance of accumulation of fine particles, as finer samples had lower explosion likelihood and higher explosion severity parameters. Hybrid mixture explosion data is presented in the form of explosion regime diagrams, which can assist process operators and designers to promote the inherently safer transfer of polymer particles. Finally, inherently safer approaches to dust explosion prevention and mitigation in relation to the results of this study have been discussed.

本文介绍了对工业高密度聚乙烯（HDPE）粉尘爆炸性的研究。实验研究了高密度聚乙烯粉尘以及高密度聚乙烯/乙烯混合混合物的爆炸行为。粉尘爆炸结果进一步强调了避免细颗粒堆积的重要性，因为较细的样品爆炸可能性较低，爆炸严重性参数较高。混合混合物爆炸数据以爆炸机制图的形式呈现，可帮助工艺操作人员和设计人员促进聚合物颗粒的固有安全转移。最后，还讨论了与本研究结果相关的更安全的粉尘爆炸预防和缓解方法。

引用次数: 0

Use of the SPRi method in safety and security applications

IF 3.6 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries

Pub Date : 2025-03-27 DOI: 10.1016/j.jlp.2025.105637

Dominik Jursa , Michal Lesnák , Lucie Kralova , Marek Miskay , Karla Barcova

Surface plasmon resonance (SPR) is emerging as an important tool in security, particularly for detecting a wide range of hazardous substances. It enables rapid and sensitive detection of bacterial toxins, pathogens, biomarkers, chemicals, and narcotics. Studies have confirmed its effectiveness in identifying substances with bioterrorism potential—such as anthrax and botulinum toxin—as well as pesticides, nerve agents, and drugs in body fluids. Compared to traditional analytical methods, SPR offers a faster, cheaper, and simpler alternative with high reproducibility. This article provides an overview of SPR applications in security and highlights its potential for protecting public health and preventing bioterrorism.

引用次数: 0

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