Journal of Loss Prevention in The Process Industries最新文献_第3页

A comprehensive review of AI-enabled predictive maintenance for hydrogen-powered transport: Advancing process safety and sustainability 氢动力运输人工智能预测性维护的全面回顾：提高过程安全性和可持续性

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.jlp.2026.105953

Suresh Vellaiyan , Khalid Aljohani , Bassam S. Aljohani , Shanmugavel Kuppusamy , Nguyen Van Minh

{"title":"A comprehensive review of AI-enabled predictive maintenance for hydrogen-powered transport: Advancing process safety and sustainability","authors":"Suresh Vellaiyan , Khalid Aljohani , Bassam S. Aljohani , Shanmugavel Kuppusamy , Nguyen Van Minh","doi":"10.1016/j.jlp.2026.105953","DOIUrl":"10.1016/j.jlp.2026.105953","url":null,"abstract":"<div><div>Hydrogen-powered transportation represents a critical pathway toward decarbonized mobility. However, the reliability and safety of key subsystems, such as high-pressure hydrogen storage, fuel cells, and Balance of Plant (BoP) components, remain major barriers to large-scale deployment. This review evaluates the emerging role of Artificial Intelligence (AI)-driven Predictive Maintenance (PdM) in overcoming these challenges and advancing the sustainability of hydrogen mobility systems. Integrating Internet of Things sensing, digital twin modeling, and advanced data analytics, AI-based PdM enables early fault detection, anomaly diagnosis, and accurate estimation of component remaining useful life, thereby minimizing unplanned downtime and extending service life. Moreover, prescriptive maintenance approaches, which provide actionable recommendations in addition to failure prediction, are discussed as a next step toward autonomous maintenance management. The review also examines enabling technologies such as edge computing, federated learning, and human–machine interfaces that enhance data security, responsiveness, and operator interaction. Persistent challenges, including data heterogeneity, algorithm interpretability, cybersecurity threats, and the absence of regulatory frameworks, are critically analyzed. Finally, future perspectives highlight the need for standardized assessment protocols and cross-disciplinary collaboration to ensure safe, scalable, and intelligent adoption of AI-based PdM in hydrogen-powered transport. Overall, this review provides a comprehensive assessment framework connecting predictive intelligence, system resilience, and sustainability in next-generation hydrogen mobility.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105953"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191258","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

Process safety in the era of AI: Assurance, deployment, and measurable risk reduction 人工智能时代的流程安全：保证、部署和可衡量的风险降低

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-02-03 DOI: 10.1016/j.jlp.2026.105956

Christopher Selvam D , Raja T , Kulmani Mehar , Yuvarajan Devarajan , Shwetha A , Sunil Kumar M , Alok Tiwari , Amandeep Gill , Praveen Priyaranjan Nayak

{"title":"Process safety in the era of AI: Assurance, deployment, and measurable risk reduction","authors":"Christopher Selvam D , Raja T , Kulmani Mehar , Yuvarajan Devarajan , Shwetha A , Sunil Kumar M , Alok Tiwari , Amandeep Gill , Praveen Priyaranjan Nayak","doi":"10.1016/j.jlp.2026.105956","DOIUrl":"10.1016/j.jlp.2026.105956","url":null,"abstract":"<div><div>Process safety is a fundamental industrial discipline focused on preventing fires, explosions, and the release of hazardous substances. The advent of artificial intelligence (AI) has augmented safety management proficiencies by facilitating the early identification of leakage precursors, alleviating alarm saturation, enhancing incident diagnostics, and bolstering risk-informed maintenance of essential assets. Nonetheless, the implementation of AI in safety-critical contexts remains constrained by issues related to data integrity and provenance, model generalization, system resilience, and cybersecurity vulnerabilities. This review amalgamates recent AI methodologies pertinent to process safety and critically assesses the impediments to their dependable industrial application. Four principal application sectors are scrutinized: (i) Natural Language Processing (NLP) for the analysis of incident and near-miss reports, (ii) multivariate anomaly detection for precursor identification, (iii) adaptive alarm management for dynamic prioritization, and (iv) computer vision for real-time surveillance of hazardous zones and personal protective equipment (PPE) compliance. A structured assurance framework is proposed that encompasses data governance, fault-based validation, model interpretability, compatibility with existing safety systems, and alignment with cybersecurity protocols. A phased deployment roadmap from shadow operation to advisory and controlled execution is delineated, underpinned by performance indicators such as Δ-risk reduction, response latency, false-alarm expense, barrier reliability, and model learning rate. The review further underscores alignment with the United Nations Sustainable Development Goals, particularly SDG 9 and SDG 12, by advocating for safer, more resilient, and sustainable industrial operations.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105956"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191369","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

Research on the fire behavior of steel welding single disk internal floating roof with the large-scale fire experiment: structural defect and its optimizing strategy in fire 大型火灾试验研究钢制焊接单盘内浮顶的火灾行为：结构缺陷及其火灾优化策略

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2026-01-07 DOI: 10.1016/j.jlp.2026.105913

Wei Liu , Hang Ye , Shuang Wang , Zejiang Zhang , Ji Xiao

{"title":"Research on the fire behavior of steel welding single disk internal floating roof with the large-scale fire experiment: structural defect and its optimizing strategy in fire","authors":"Wei Liu , Hang Ye , Shuang Wang , Zejiang Zhang , Ji Xiao","doi":"10.1016/j.jlp.2026.105913","DOIUrl":"10.1016/j.jlp.2026.105913","url":null,"abstract":"<div><div>In this study, steel welding single disk IFR arranged with the penetrating damage to the body and partial loss in the rim seal system has been designed as the experimental model at the diameter of 4.7 m according to API Pub 2021A-1998 and API 653, in order to simulate its most adverse situation in the real fire. The large-scale fire experiment has been conducted for the model, so as to investigate the fire development and burning behavior of the IFR, and further determine its structural defect and the optimizing strategy in fire. Fire process and temperature rise of the IFR model have been recorded and monitored as a function of time. Influence of the corrective measures on the fire behavior of IFR has been also analyzed and discussed here. Para-full surface fire has been first discovered and proposed to describe the characteristic burning behavior of this IFR. The results indicate that the traditional model exhibits para-full surface fire in the tank after 20min with the highest maximum temperature rise of 958 °C at 1050s, while the modified model with the corrective measures could prohibit the occurrence of para-full surface fire, restrict the temperature rise of the body and its surroundings below 900 °C, and stop the spread of fire in the storage tank for a period of 2 h, which is 6.0 times higher than the traditional model. And the related optimizing strategy has been proposed for the traditional steel welding single disk IFR in design and use.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105913"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938637","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

Application of TNT equivalent model to vented explosions in combustion chambers. Validation with CFD simulations TNT当量模型在燃烧室通风爆炸中的应用。CFD仿真验证

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2026-01-19 DOI: 10.1016/j.jlp.2026.105925

Vicenç Espejo , Joaquim Casal , Eulàlia Planas

{"title":"Application of TNT equivalent model to vented explosions in combustion chambers. Validation with CFD simulations","authors":"Vicenç Espejo , Joaquim Casal , Eulàlia Planas","doi":"10.1016/j.jlp.2026.105925","DOIUrl":"10.1016/j.jlp.2026.105925","url":null,"abstract":"<div><div>Combustion chambers are common equipment used in many industries to retrieve heat from fuels (such as in boilers, furnaces, and other fired heaters). Despite the well-documented explosion hazards associated with this equipment, accidents continue to be reported periodically in industry. Risk assessments should therefore account for these hazards, given their potential to cause severe consequences and trigger domino effects. When explosion relief panels are present, the pressure effects outside the enclosure can be complex and challenging to estimate. Effective plant layout design should also consider vulnerable elements located within the vented explosion's impact zone.</div><div>This study evaluates the applicability of the TNT-equivalent model for estimating the consequences of vented explosions in combustion chambers. A total of ten Computational Fluid Dynamics (CFD) explosion simulations were performed using FLACS and compared with TNT-equivalent model predictions. A strong correlation was observed, and adjusted yield factor correlations were developed specifically for vented combustion chamber explosions. These correlations enable worst-case overpressure estimation based on chamber volume and fuel characteristics.</div><div>The results demonstrate that the proposed methodology can support key engineering tasks, including the optimal placement of vent panels, definition of safety distances, evaluation of explosion consequences and domino effects in risk analysis, plant layout decisions, and retrofitting existing equipment through a better understanding of explosion effects.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105925"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076832","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

Synergistic fire suppression of n-heptane pool flames using modified expandable graphite and additive-enhanced water mist 改性可膨胀石墨和添加剂增强水雾对正庚烷池火焰的协同灭火作用

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-12-13 DOI: 10.1016/j.jlp.2025.105883

Xin-Yue Ma , Yan Tang , Fang-Chao Cao , Jun-Cheng Jiang , An-Chi Huang

引用次数: 0

From brain to behavior: EEG signatures of unsafe actions in occupational simulations 从大脑到行为：职业模拟中不安全行为的脑电图特征

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-12-05 DOI: 10.1016/j.jlp.2025.105877

Shuhao Zhang , Xiangchun Li , Xiaowei Li , Jianhua Zeng , Yuzhen Long , Baisheng Nie , Mingxiu Xing

{"title":"From brain to behavior: EEG signatures of unsafe actions in occupational simulations","authors":"Shuhao Zhang , Xiangchun Li , Xiaowei Li , Jianhua Zeng , Yuzhen Long , Baisheng Nie , Mingxiu Xing","doi":"10.1016/j.jlp.2025.105877","DOIUrl":"10.1016/j.jlp.2025.105877","url":null,"abstract":"<div><div>Unsafe behaviors in coal mining are a leading cause of accidents, posing significant risks to worker safety and operational efficiency. Understanding the underlying neural mechanisms associated with these behaviors can provide valuable insights for early intervention and prevention. Electroencephalography (EEG) offers a non-invasive method to monitor brain activity and cognitive states in real-time. This study investigates EEG signal patterns linked to unsafe behaviors in coal mine workers within a controlled simulation environment. We focus on power spectral features in key frequency bands—alpha (α), beta (β), and gamma (γ)—including both absolute and relative power, as well as the α/β ratio, to explore their relationship with cognitive load and attentional processes during different task stages. The findings reveal distinct EEG dynamics that reflect shifts in cognitive resource allocation and neural activation when workers engage in potentially hazardous actions. These insights provide a foundation for developing neural-based early warning systems aimed at enhancing safety monitoring and reducing accident risks in mining operations.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105877"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747525","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

Inhibition of presulphided bimetallic catalysts by functional nitrogen compounds 功能氮化合物对预硫化双金属催化剂的抑制作用

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-12-27 DOI: 10.1016/j.jlp.2025.105904

Shuo Liu , Yanan Qian , Yi Yang , Yong Pan , Juncheng Jiang , Bing Sun , Yun-Ting Tsai

{"title":"Inhibition of presulphided bimetallic catalysts by functional nitrogen compounds","authors":"Shuo Liu , Yanan Qian , Yi Yang , Yong Pan , Juncheng Jiang , Bing Sun , Yun-Ting Tsai","doi":"10.1016/j.jlp.2025.105904","DOIUrl":"10.1016/j.jlp.2025.105904","url":null,"abstract":"<div><div>The present study examined the ability of varying loadings of methyldiethanolamine (MDEA) to inhibit presulphided bimetallic catalysts. Four catalysts containing 0, 1, 3, and 5 wt% nitrogen were prepared, and X-ray diffraction and X-ray photoelectron spectroscopy were employed to verify ex situ sulphidation. Fourier transform infrared spectroscopy was used to identify amino groups (–NH<sub>2</sub>); the relative concentrations of these groups increased with MDEA loading, indicating their central role in inhibiting catalysis. Scanning electron microscopy and ammonia temperature-programmed desorption results revealed that MDEA addition promoted microcrystal aggregation and reduced total acidity by 37.9 %, 49.0 %, and 28.9 % after 1, 3, and 5 wt% nitrogen incorporation, respectively. Specifically, weak acid sites were reduced by 27.0 % and 31.9 %, whereas medium-strength acid sites were reduced by 49.7 % and 67.5 % in the 1 and 3 wt% nitrogen-modified catalysts, respectively. These findings suggest that the –NH<sub>2</sub> groups primarily inhibited catalysis by interacting with medium-strength acid sites. The differential scanning calorimetry results revealed that catalyst stability first increased before decreasing with increasing MDEA content, however, it remained consistently higher than that of the catalyst without basic nitrogen compounds, reaching the maximum value at 3 wt% loading. These results demonstrate that the functional nitrogen compounds inhibited the activity and enhanced the stability of the presulphided bimetallic catalysts.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105904"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880060","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 acidic conditions on the thermal hazard of 1-chloro-2,4-dinitrobenzene 酸性条件对1-氯-2,4-二硝基苯热危害的影响

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.jlp.2025.105851

Tianya Zhang, Hui Hu, Bin Zhang

{"title":"Effect of acidic conditions on the thermal hazard of 1-chloro-2,4-dinitrobenzene","authors":"Tianya Zhang, Hui Hu, Bin Zhang","doi":"10.1016/j.jlp.2025.105851","DOIUrl":"10.1016/j.jlp.2025.105851","url":null,"abstract":"<div><div>1-Chloro-2,4-dinitrobenzene (CDNB) is extensively used as a crucial chemical intermediate in the pharmaceutical, dye, and pesticide industries. The presence of two nitro functional groups in its molecular structure results in substantial heat release during thermal decomposition. An insufficient understanding of its decomposition behavior can lead to severe thermal runaway incidents in industrial production. To investigate the thermal hazard characteristics of CDNB under various acidic environments, this study was designed based on a representative industrial accident scenario. A systematic analysis was carried out using differential scanning calorimetry (DSC) and accelerating rate calorimetry (ARC), combined with kinetic modeling, to thoroughly investigate the thermal decomposition behavior and runaway potential of CDNB. Experimental data revealed that the decomposition enthalpy of CDNB exceeds 4000 J/g, demonstrating intense exothermicity and a clear tendency for thermal runaway. Moreover, the time to maximum rate under adiabatic conditions (TMR<sub>ad</sub>) was found to be less than 1 h, with a corrected adiabatic temperature rise (ΔT<sub>ad</sub>,f) of 1680.4 K. Based on these thermal safety parameters and risk matrix assessment, the thermal runaway risk level of CDNB was evaluated as Level 3, corresponding to an “unacceptable risk” category. Notably, in the ARC experiment, the addition of sulfuric and nitric acids significantly lowered the initial decomposition temperature of CDNB. Their catalytic effects became more pronounced with increasing acid concentrations, with the temperatures being reduced by up to 40.2 °C and 50.0 °C, respectively. Under different acidic conditions, the activation energy of CDNB decreased by 14.3–99.0 kJ/mol, significantly increasing the likelihood of thermal hazard events. This study provides essential theoretical support for risk assessment and control in the safe industrial handling of CDNB.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105851"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145621944","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

Fire risk analysis of working items during nuclear power plant decommissioning in Taiwan 台湾核电厂退役工作物件火灾风险分析

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2026-01-03 DOI: 10.1016/j.jlp.2025.105911

Yu-Hsiang Huang , Tzu-Sheng Shen , Ming-Yu Kuo , Chi-Min Shu

引用次数: 0

Thermal hazard assessment and critical safety thresholds of AIBN-initiated styrene polymerization via calorimetry and Aspen plus simulation 用量热法和Aspen +模拟评价aibn引发苯乙烯聚合的热危害和临界安全阈值

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-12-01 DOI: 10.1016/j.jlp.2025.105872

Xuhai Pan , Andong Yu , Yongjia Chen , Yuqi Liu , Min Hua

{"title":"Thermal hazard assessment and critical safety thresholds of AIBN-initiated styrene polymerization via calorimetry and Aspen plus simulation","authors":"Xuhai Pan , Andong Yu , Yongjia Chen , Yuqi Liu , Min Hua","doi":"10.1016/j.jlp.2025.105872","DOIUrl":"10.1016/j.jlp.2025.105872","url":null,"abstract":"<div><div>Styrene polymerization is a highly exothermic and thermally sensitive process prone to thermal runaway under inadequate heat removal, posing severe safety hazards in industrial operations. In this work, a combined experimental–simulation approach was adopted to investigate the thermal hazard characteristics of styrene polymerization initiated by AIBN and the influence of key operational parameters. Differential scanning calorimetry (DSC), adiabatic calorimetry (ARC), and reaction calorimetry (RC1e) were employed to systematically examine the effects of initiator concentration, ethylbenzene dilution, and reaction temperature on heat release behavior, onset temperature, and runaway propensity. The results revealed that higher initiator concentrations markedly increased heat release intensity and accelerated runaway onset, while ethylbenzene addition effectively suppressed temperature rise through dilution and enhanced heat capacity. Elevated reaction temperatures intensified exothermicity, reduced thermal buffering time, and impaired heat removal efficiency. Aspen Plus simulations show that when the cooling factor increases from 2000 to 3000 kcal m<sup>−2</sup> h<sup>−1</sup> K<sup>−1</sup>, the peak temperature drops sharply by approximately 97 K; however, when the jacket temperature exceeds about 377–379 K, the system undergoes a rapid and uncontrollable temperature rise. The integration of calorimetric experiments with process simulations not only validated the modeling approach but also provided mechanistic insights into runaway behavior. The findings offer quantitative safety criteria and operational guidelines for mitigating thermal hazards in industrial-scale styrene polymerization.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105872"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145691437","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