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Prediction of explosion hazard of aluminum powder two-phase mixed system using random forest based on K-fold cross-validation
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-02-01 DOI: 10.1016/j.jlp.2025.105574
Lidong Zhang , Zhenmin Luo , Bin Su , Zeyang Song , Jun Deng , Xinyue Ji
Dust explosion is a significant safety hazard in various industries and trades, with aluminum dust being particularly sensitive to ignition and leading to severe explosion consequences. During the actual industrial production process, there is a risk of aluminum powder dust coming into contact with other metal dust, flammable and explosive gases and liquids. Aluminum dust and other flammable and explosive substances, even if the concentration of aluminum dust and other flammable and explosive substances are below the lower explosive limit, the aluminum dust as the dominant multi-phase mixing system still has the potential to explode. Compared to a single aluminum dust, the aluminum powder multiphase system has a higher explosion hazard. Thus, the rapid prediction of the explosion intensity of the gas-liquid-solid multiphase system with aluminum dust as the main body is of great significance for the assessment of the explosion hazard of the mixed dust. On the other hand, the explosion properties of the gas-liquid-solid multiphase system with aluminum powder as the main body are affected by a number of factors such as powder particle size, powder concentration, combustible material concentration, and different systems have a large variability between. This is a significant challenging for the rapid and precise prediction of the explosive intensity of aluminum powders in multiphase systems. In this study, machine learning methods (random forest (RF) and multilayer perceptron (MLP)) were applied to deeply excavate the nonlinear relationship between the explosion index (Kst) of gas-liquid-solid multiphase system with aluminum dust as the main body and the explosion influencing factors. Feature engineering was employed during the model building process for improving the data representation model. The grid search method, including the K-fold cross-validation and three-model performance evaluation metrics, were incorporated to optimize, assess, and test the model's state and performance. A total of 233 Kst samples were gathered, with 163 samples (70% of the total samples) were allocated for training while the other 70 samples (30% of the total samples) were adopted for testing. By adopting the same dataset, compared with the MLP model, the RF model exhibits enhanced generalization capability and higher prediction accuracy, with a prediction accuracy of about 90%. Furthermore, the gas-solid two-phase dominated by aluminum powder had the highest prediction accuracy in the RF model, followed by liquid-solid and solid-solid systems. This study could help to rapidly predict the explosion intensity of the multi-phase system of aluminum powder occurring under complex conditions, and paved a way for decision-making of multi-factor affected emergency.
{"title":"Prediction of explosion hazard of aluminum powder two-phase mixed system using random forest based on K-fold cross-validation","authors":"Lidong Zhang ,&nbsp;Zhenmin Luo ,&nbsp;Bin Su ,&nbsp;Zeyang Song ,&nbsp;Jun Deng ,&nbsp;Xinyue Ji","doi":"10.1016/j.jlp.2025.105574","DOIUrl":"10.1016/j.jlp.2025.105574","url":null,"abstract":"<div><div>Dust explosion is a significant safety hazard in various industries and trades, with aluminum dust being particularly sensitive to ignition and leading to severe explosion consequences. During the actual industrial production process, there is a risk of aluminum powder dust coming into contact with other metal dust, flammable and explosive gases and liquids. Aluminum dust and other flammable and explosive substances, even if the concentration of aluminum dust and other flammable and explosive substances are below the lower explosive limit, the aluminum dust as the dominant multi-phase mixing system still has the potential to explode. Compared to a single aluminum dust, the aluminum powder multiphase system has a higher explosion hazard. Thus, the rapid prediction of the explosion intensity of the gas-liquid-solid multiphase system with aluminum dust as the main body is of great significance for the assessment of the explosion hazard of the mixed dust. On the other hand, the explosion properties of the gas-liquid-solid multiphase system with aluminum powder as the main body are affected by a number of factors such as powder particle size, powder concentration, combustible material concentration, and different systems have a large variability between. This is a significant challenging for the rapid and precise prediction of the explosive intensity of aluminum powders in multiphase systems. In this study, machine learning methods (random forest (RF) and multilayer perceptron (MLP)) were applied to deeply excavate the nonlinear relationship between the explosion index (<em>K</em><sub><em>st</em></sub>) of gas-liquid-solid multiphase system with aluminum dust as the main body and the explosion influencing factors. Feature engineering was employed during the model building process for improving the data representation model. The grid search method, including the K-fold cross-validation and three-model performance evaluation metrics, were incorporated to optimize, assess, and test the model's state and performance. A total of 233 <em>K</em><sub><em>st</em></sub> samples were gathered, with 163 samples (70% of the total samples) were allocated for training while the other 70 samples (30% of the total samples) were adopted for testing. By adopting the same dataset, compared with the MLP model, the RF model exhibits enhanced generalization capability and higher prediction accuracy, with a prediction accuracy of about 90%. Furthermore, the gas-solid two-phase dominated by aluminum powder had the highest prediction accuracy in the RF model, followed by liquid-solid and solid-solid systems. This study could help to rapidly predict the explosion intensity of the multi-phase system of aluminum powder occurring under complex conditions, and paved a way for decision-making of multi-factor affected emergency.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105574"},"PeriodicalIF":3.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143296075","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
Physical modeling for emergency planning support: Gas dispersion simulations in urban and rural areas
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-31 DOI: 10.1016/j.jlp.2025.105571
Hana Chaloupecká , Václav Nevrlý , Barbora Martiníkova , Jan Suchánek , Michal Dostál , Jan Wild , Pavel Dobeš , Melánie Barabášová , Zbyněk Jaňour
Protecting public health and ensuring environmental safety are essential for sustainable urban development, especially in the vicinity of industrial sites. This study evaluates the performance of ISC3, a Gaussian gas dispersion model, by comparing its predictions with wind tunnel data for idealized urban and rural environments. The analysis shows that the ISC3 model significantly underestimates pollutant concentrations in urban areas, particularly along transversal streets near the source, e.g. due to its inability to accurately represent complex flow patterns such as recirculation zones. This underestimation poses a risk to emergency preparedness and urban planning. In contrast, in rural areas, the ISC3 model generally overestimates concentrations, but this overestimation remains within acceptable limits, providing a more reliable prediction. The case study concludes that while Gaussian models are useful for initial assessment in areas of low roughness, their accuracy decreases in complex urban environments. For more accurate predictions in such environments, wind tunnel modelling is recommended as a more robust tool for site-specific risk assessment for land-use planning and emergency preparedness purposes.
{"title":"Physical modeling for emergency planning support: Gas dispersion simulations in urban and rural areas","authors":"Hana Chaloupecká ,&nbsp;Václav Nevrlý ,&nbsp;Barbora Martiníkova ,&nbsp;Jan Suchánek ,&nbsp;Michal Dostál ,&nbsp;Jan Wild ,&nbsp;Pavel Dobeš ,&nbsp;Melánie Barabášová ,&nbsp;Zbyněk Jaňour","doi":"10.1016/j.jlp.2025.105571","DOIUrl":"10.1016/j.jlp.2025.105571","url":null,"abstract":"<div><div>Protecting public health and ensuring environmental safety are essential for sustainable urban development, especially in the vicinity of industrial sites. This study evaluates the performance of ISC3, a Gaussian gas dispersion model, by comparing its predictions with wind tunnel data for idealized urban and rural environments. The analysis shows that the ISC3 model significantly underestimates pollutant concentrations in urban areas, particularly along transversal streets near the source, e.g. due to its inability to accurately represent complex flow patterns such as recirculation zones. This underestimation poses a risk to emergency preparedness and urban planning. In contrast, in rural areas, the ISC3 model generally overestimates concentrations, but this overestimation remains within acceptable limits, providing a more reliable prediction. The case study concludes that while Gaussian models are useful for initial assessment in areas of low roughness, their accuracy decreases in complex urban environments. For more accurate predictions in such environments, wind tunnel modelling is recommended as a more robust tool for site-specific risk assessment for land-use planning and emergency preparedness purposes.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105571"},"PeriodicalIF":3.6,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143353864","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
CFD model of dust unsteady flame propagation in the 20 L bomb
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-31 DOI: 10.1016/j.jlp.2025.105573
Alain Islas , Maria Portarapillo , Adrián Pandal , Roberto Sanchirico , Almerinda Di Benedetto
The development of computational fluid dynamics (CFD) models for dust unsteady flame propagation presents a major challenge, particularly in the selection of a suitable combustion sub-model. Particle-based Lagrangian models provide a detailed description of the thermochemical conversion of fuels, but are often computationally expensive and impractical for most industrial applications. Premixed combustion models, on the other hand, treat the air/dust mixture as a single homogeneous fluid, with the chemical reactions occurring predominantly in the gas phase. These models are suitable for the simulation of biomass dust explosions, where the rapid release and combustion of volatile gases dominates the flame propagation. In this paper, a CFD model of unsteady flame propagation of biomass is developed using OpenFOAM. The model relies on a novel equation previously developed for the evaluation of the laminar flame speed of air/dust mixture inspired by the Mallard-Le Chatelier theory. Model validation is performed by comparing CFD simulation results with the literature data on cornstarch dust explosions in a 20 L bomb.
{"title":"CFD model of dust unsteady flame propagation in the 20 L bomb","authors":"Alain Islas ,&nbsp;Maria Portarapillo ,&nbsp;Adrián Pandal ,&nbsp;Roberto Sanchirico ,&nbsp;Almerinda Di Benedetto","doi":"10.1016/j.jlp.2025.105573","DOIUrl":"10.1016/j.jlp.2025.105573","url":null,"abstract":"<div><div>The development of computational fluid dynamics (CFD) models for dust unsteady flame propagation presents a major challenge, particularly in the selection of a suitable combustion sub-model. Particle-based Lagrangian models provide a detailed description of the thermochemical conversion of fuels, but are often computationally expensive and impractical for most industrial applications. Premixed combustion models, on the other hand, treat the air/dust mixture as a single homogeneous fluid, with the chemical reactions occurring predominantly in the gas phase. These models are suitable for the simulation of biomass dust explosions, where the rapid release and combustion of volatile gases dominates the flame propagation. In this paper, a CFD model of unsteady flame propagation of biomass is developed using OpenFOAM. The model relies on a novel equation previously developed for the evaluation of the laminar flame speed of air/dust mixture inspired by the Mallard-Le Chatelier theory. Model validation is performed by comparing CFD simulation results with the literature data on cornstarch dust explosions in a 20 L bomb.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105573"},"PeriodicalIF":3.6,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evolution characteristics of vertical hydrogen jet flame length at sub-atmospheric pressure
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-30 DOI: 10.1016/j.jlp.2025.105572
Ke Guo , Yawei Tang , Yongjiang Liu , Xuxu Sun
In this work, an experimental investigation about the hydrogen jet flame was carried out at sub-atmospheric pressure. The atmospheric pressures range from 40 kPa to 100 kPa. And the effects of volume flow rates (from 10SLPM to 25SLPM) and nozzle diameters (including 2 mm and 4 mm) were considered. The universality of the scale parameters given in previous studies were further confirmed at sub-atmospheric pressure. The critical Froude number for the transition from buoyancy-controlled to momentum-controlled jet flame was adjusted to the value of 30. Moreover, it can be found that the flame length at sub-atmospheric pressure is nearly independent of Froude number. The excellent correlation between the dimensionless heat release rate to the 0.4 power and the hydrogen jet flame length can be obtained at sub-atmospheric pressure. Ambient density was introduced into the dimensionless heat release rate to explain the change of atmospheric pressure. Through the formal transformation of dimensionless heat release rate, the quantitative correlation between flame length and mass flow rate, ambient density and temperature was presented. This paper proposes a hydrogen jet flame theory at sub-atmospheric pressure considering continuous pressure levels. Current results also provide a valuable reference for developing new standards to prevent hydrogen jet flames at high altitudes.
{"title":"Evolution characteristics of vertical hydrogen jet flame length at sub-atmospheric pressure","authors":"Ke Guo ,&nbsp;Yawei Tang ,&nbsp;Yongjiang Liu ,&nbsp;Xuxu Sun","doi":"10.1016/j.jlp.2025.105572","DOIUrl":"10.1016/j.jlp.2025.105572","url":null,"abstract":"<div><div>In this work, an experimental investigation about the hydrogen jet flame was carried out at sub-atmospheric pressure. The atmospheric pressures range from 40 kPa to 100 kPa. And the effects of volume flow rates (from 10SLPM to 25SLPM) and nozzle diameters (including 2 mm and 4 mm) were considered. The universality of the scale parameters given in previous studies were further confirmed at sub-atmospheric pressure. The critical Froude number for the transition from buoyancy-controlled to momentum-controlled jet flame was adjusted to the value of 30. Moreover, it can be found that the flame length at sub-atmospheric pressure is nearly independent of Froude number. The excellent correlation between the dimensionless heat release rate to the 0.4 power and the hydrogen jet flame length can be obtained at sub-atmospheric pressure. Ambient density was introduced into the dimensionless heat release rate to explain the change of atmospheric pressure. Through the formal transformation of dimensionless heat release rate, the quantitative correlation between flame length and mass flow rate, ambient density and temperature was presented. This paper proposes a hydrogen jet flame theory at sub-atmospheric pressure considering continuous pressure levels. Current results also provide a valuable reference for developing new standards to prevent hydrogen jet flames at high altitudes.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105572"},"PeriodicalIF":3.6,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388301","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
Real-time monitoring of life extension risk in the offshore oil & gas sector
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-28 DOI: 10.1016/j.jlp.2025.105566
Isaac Animah
Despite the growing number of frameworks developed to assess and monitor life extension (LE) risk in the offshore oil and gas (O&G) industry, the existing frameworks are restricted to quantifying the probability of risk events resulting from material degradation of critical assets, neglecting human factors. These existing frameworks do not ensure proactive risk mitigation during the LE phase of operation in the O&G industry. To fill this gap, a LE framework combining human reliability analysis and aging probabilistic models is developed to support quick and real-time monitoring of risk associated with the LE phase of operation. The proposed framework consists of accident susceptibility and equipment vulnerability modules. The accident susceptibility module estimates the accident susceptibility index (ASI) while the equipment vulnerability module involves a pre-calculated probabilistic index from aging failure mechanisms which is stored in a database. A “life extension risk index” (LERI) is determined by combining the ASI and equipment vulnerability index (EVI), respectively. An applied case involving a three-phase separator on an offshore O&G installation operating beyond its original design life is used to test the efficacy of the proposed framework. The outcome of the applied case indicates that the framework is capable of supporting LE decision-making in real-time.
{"title":"Real-time monitoring of life extension risk in the offshore oil & gas sector","authors":"Isaac Animah","doi":"10.1016/j.jlp.2025.105566","DOIUrl":"10.1016/j.jlp.2025.105566","url":null,"abstract":"<div><div>Despite the growing number of frameworks developed to assess and monitor life extension (LE) risk in the offshore oil and gas (O&amp;G) industry, the existing frameworks are restricted to quantifying the probability of risk events resulting from material degradation of critical assets, neglecting human factors. These existing frameworks do not ensure proactive risk mitigation during the LE phase of operation in the O&amp;G industry. To fill this gap, a LE framework combining human reliability analysis and aging probabilistic models is developed to support quick and real-time monitoring of risk associated with the LE phase of operation. The proposed framework consists of accident susceptibility and equipment vulnerability modules. The accident susceptibility module estimates the accident susceptibility index (ASI) while the equipment vulnerability module involves a pre-calculated probabilistic index from aging failure mechanisms which is stored in a database. A “life extension risk index” (LERI) is determined by combining the ASI and equipment vulnerability index (EVI), respectively. An applied case involving a three-phase separator on an offshore O&amp;G installation operating beyond its original design life is used to test the efficacy of the proposed framework. The outcome of the applied case indicates that the framework is capable of supporting LE decision-making in real-time.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105566"},"PeriodicalIF":3.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167108","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
Uncertainty assessment of improved multistate reliability in the sociotechnical systems based on the polymorphic fuzzy entropy fault tree analysis and triptych cost-benefit-safety analysis
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-28 DOI: 10.1016/j.jlp.2025.105570
Samia Daas , Fares Innal
The firewater system is a critical system related to the fire safety process of the LPG storage tanks. However, installing an effective firewater system can control fire accidents. Therefore, the multistate reliability of the firewater system must be evaluated and uncertainties must be taken into account to improve the firewater systems and provide fire safety measures in the sociotechnical systems. However, obtaining multistate failure probability (MFP) data for basic events in polymorphic fuzzy fault tree analysis (PFFTA) has always been a major challenge. Quantifying the minimum cut set (MCS) in PFFTA and determining the critical components for improving the multistate reliability is also difficult. In this study, we propose the polymorphic entropy fault tree analysis (FTA) using the similarity aggregation method (SAM) and a Pythagorean fuzzy cost-benefit–safety analysis. In the proposed methodology, the entropy method was used to judgment expert evaluate the weight experts. The similarity aggregation method was used to aggregate of experts’ opinions and assess the multistate failure probability of basic events in the PFFTA. As a result, a triptych cost-benefit–safety analysis based on Pythagorean fuzzy sets (PFSs) was estimated to reduce expert subjectivity and support an improved cost-effectiveness index to rank critical components. To clarify the effectiveness and feasibility of the proposed methodology, a case study of the firewater system related to LPG storage was demonstrated. Both evaluations of the cost-benefit-safety analysis of the critical component were performed and improved the multistate reliability of the firewater systems.
{"title":"Uncertainty assessment of improved multistate reliability in the sociotechnical systems based on the polymorphic fuzzy entropy fault tree analysis and triptych cost-benefit-safety analysis","authors":"Samia Daas ,&nbsp;Fares Innal","doi":"10.1016/j.jlp.2025.105570","DOIUrl":"10.1016/j.jlp.2025.105570","url":null,"abstract":"<div><div>The firewater system is a critical system related to the fire safety process of the LPG storage tanks. However, installing an effective firewater system can control fire accidents. Therefore, the multistate reliability of the firewater system must be evaluated and uncertainties must be taken into account to improve the firewater systems and provide fire safety measures in the sociotechnical systems. However, obtaining multistate failure probability (MFP) data for basic events in polymorphic fuzzy fault tree analysis (PFFTA) has always been a major challenge. Quantifying the minimum cut set (MCS) in PFFTA and determining the critical components for improving the multistate reliability is also difficult. In this study, we propose the polymorphic entropy fault tree analysis (FTA) using the similarity aggregation method (SAM) and a Pythagorean fuzzy cost-benefit–safety analysis. In the proposed methodology, the entropy method was used to judgment expert evaluate the weight experts. The similarity aggregation method was used to aggregate of experts’ opinions and assess the multistate failure probability of basic events in the PFFTA. As a result, a triptych cost-benefit–safety analysis based on Pythagorean fuzzy sets (PFSs) was estimated to reduce expert subjectivity and support an improved cost-effectiveness index to rank critical components. To clarify the effectiveness and feasibility of the proposed methodology, a case study of the firewater system related to LPG storage was demonstrated. Both evaluations of the cost-benefit-safety analysis of the critical component were performed and improved the multistate reliability of the firewater systems.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105570"},"PeriodicalIF":3.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143296601","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
Calculation technique CSN for smoke layer interface assessment during fires in industry
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-27 DOI: 10.1016/j.jlp.2025.105564
Dagmar Dlouha , Jiri Pokorny , Marek Podkul , Lenka Brumarova , Dawid Szurgacz , Marianna Tomaskova , Vladimir Vlcek , Sergey Zhironkin
Fires are a significant threat to people, property, and the environment. One of the requirements for the buildings during fires is ensuring the safe evacuation of persons. The evacuation assessment has usually been based on a comparison of the Required Safe Egress Time (RSET) and the Available Safe Egress Time (ASET). One of the important factors influencing the safe evacuation of persons is smoke, which is an important accompanying phenomenon of fires in industry. The smoke layer interface is one basic barrier for effective evacuation. The current calculation technique for assessing the smoke layer interface in the Czech Republic is unsatisfactory. For this reason, a calculation technique CSN has been derived, which has been compared with the selected simple calculation techniques, the zone fire model Consolidated Model of Fire and Smoke Transport (CFAST) and the field type model Fire Dynamics Simulator (FDS). The CSN technique was also compared with a real large-scale experiment. The data were also subjected to statistical evaluation using the root mean square error method (RMSE). The deviations between the NFPA, ISO and CSN calculation techniques, the CFAST and FDS fire models and the implemented experiment ranged from 0.05 to 2.41. The established deviations indicate that the calculation technique CSN will be practically useable.
{"title":"Calculation technique CSN for smoke layer interface assessment during fires in industry","authors":"Dagmar Dlouha ,&nbsp;Jiri Pokorny ,&nbsp;Marek Podkul ,&nbsp;Lenka Brumarova ,&nbsp;Dawid Szurgacz ,&nbsp;Marianna Tomaskova ,&nbsp;Vladimir Vlcek ,&nbsp;Sergey Zhironkin","doi":"10.1016/j.jlp.2025.105564","DOIUrl":"10.1016/j.jlp.2025.105564","url":null,"abstract":"<div><div>Fires are a significant threat to people, property, and the environment. One of the requirements for the buildings during fires is ensuring the safe evacuation of persons. The evacuation assessment has usually been based on a comparison of the Required Safe Egress Time (RSET) and the Available Safe Egress Time (ASET). One of the important factors influencing the safe evacuation of persons is smoke, which is an important accompanying phenomenon of fires in industry. The smoke layer interface is one basic barrier for effective evacuation. The current calculation technique for assessing the smoke layer interface in the Czech Republic is unsatisfactory. For this reason, a calculation technique CSN has been derived, which has been compared with the selected simple calculation techniques, the zone fire model Consolidated Model of Fire and Smoke Transport (CFAST) and the field type model Fire Dynamics Simulator (FDS). The CSN technique was also compared with a real large-scale experiment. The data were also subjected to statistical evaluation using the root mean square error method (RMSE). The deviations between the NFPA, ISO and CSN calculation techniques, the CFAST and FDS fire models and the implemented experiment ranged from 0.05 to 2.41. The established deviations indicate that the calculation technique CSN will be practically useable.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105564"},"PeriodicalIF":3.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165692","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
Electrodermal activity as an indicator of challenging road sections
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-27 DOI: 10.1016/j.jlp.2025.105557
Izabela Sudrychova , Lukas Tomaszek , Petr Saloun , Miroslava Miklošíková , Ladislav Jánošík
The increasing traffic raises demands for road safety, both active and passive. One way to enhance safety is by detecting challenging sections on roads and alerting drivers accordingly. In this article, we focus on identifying challenging sections of a training course by measuring electrodermal activity and heart rate while driving a fire truck. The results demonstrate that skin conductance measurements and heart rate can indicate areas where drivers are less attentive and also highlight spots that pose challenges to drivers. These findings can be utilized to detect difficult sections and preempt accidents by making necessary adjustments.
{"title":"Electrodermal activity as an indicator of challenging road sections","authors":"Izabela Sudrychova ,&nbsp;Lukas Tomaszek ,&nbsp;Petr Saloun ,&nbsp;Miroslava Miklošíková ,&nbsp;Ladislav Jánošík","doi":"10.1016/j.jlp.2025.105557","DOIUrl":"10.1016/j.jlp.2025.105557","url":null,"abstract":"<div><div>The increasing traffic raises demands for road safety, both active and passive. One way to enhance safety is by detecting challenging sections on roads and alerting drivers accordingly. In this article, we focus on identifying challenging sections of a training course by measuring electrodermal activity and heart rate while driving a fire truck. The results demonstrate that skin conductance measurements and heart rate can indicate areas where drivers are less attentive and also highlight spots that pose challenges to drivers. These findings can be utilized to detect difficult sections and preempt accidents by making necessary adjustments.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"94 ","pages":"Article 105557"},"PeriodicalIF":3.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167111","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
Fluid motion and heat transfer in an ASTM-E659 apparatus
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-25 DOI: 10.1016/j.jlp.2025.105558
Branson Davis , Charline Fouchier , Joseph E. Shepherd
In this study, experimental measurements and three-dimensional numerical simulations were used to characterize the non-reactive gas motion and mixing inside the flask of our laboratories’ Autoignition Temperature (AIT) facility based on the ASTM-E659 standard. Downward plumes of cool air enter through the open top of the flask, through the neck, and into the spherical vessel. This creates a single dominant toroidal vortex that transports fluid upwards along the walls and downward along the center line. Increasing the height of the flask holder caused the average temperature to increase and the magnitude/frequency of fluctuations to decrease. Studies of fuel-air mixing of ethene (C2H4), n-hexane (nC6H14), and n-dodecane (nC12H26) found that the lighter fuels more readily diffuse into air whereas the heavier fuels are more strongly influenced by buoyancy effects and take longer to mix. Further, in some cases the mixing time will be comparable to the time to ignition and long ignition times may result in significant quantities of fuel molecules escaping from the open top of the flask.
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引用次数: 0
Probabilistic ranking of Hazmat logistics subsystems under uncertainty using fuzzy AHP
IF 3.6 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-01-25 DOI: 10.1016/j.jlp.2025.105563
Goran Tepic , Mirko Djelosevic , Nebojsa Brkljac , Marko Vukovic
This paper presents a multi-criteria decision-making (MCDM) procedure for identifying critical hazardous materials logistic subsystems using the fuzzy analytic hierarchy process methodology. The hierarchical structure comprises three criteria, nine sub-criteria, and five alternatives. Expert judgments of criteria and sub-criteria and alternatives for each criterion (sub-criterion) are presented using triangular and trapezoidal membership functions. The proposed ranking algorithm, which involves a serial connection of three functional units with feedback, is suitable for automating the MCDM process in construction. The obtained results align with existing literature on the risks associated with hazardous materials logistics subsystems. Critical logistics subsystems refer to using hazardous materials and their production activities, while storage, handling, and transportation involve proximity to ranked risks.
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引用次数: 0
期刊
Journal of Loss Prevention in The Process Industries
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