Journal of Loss Prevention in The Process Industries最新文献

Network theory-based analysis of cascading failures in chemical accident causation 基于网络理论的化工事故级联失效原因分析

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.jlp.2026.105937

Jingru Wu , Gui Fu , Xuecai Xie , Yali Wu , Yongtun Li

{"title":"Network theory-based analysis of cascading failures in chemical accident causation","authors":"Jingru Wu , Gui Fu , Xuecai Xie , Yali Wu , Yongtun Li","doi":"10.1016/j.jlp.2026.105937","DOIUrl":"10.1016/j.jlp.2026.105937","url":null,"abstract":"<div><div>Chemical accidents are among the most severe types of industrial incidents, typically triggered by a complex interplay of multiple factors. These factors do not act in isolation; rather, they can initiate a chain reaction, collectively contributing to the occurrence of an accident. Therefore, it is crucial to systematically identify and analyze the dynamic propagation of these factors. This study employs network theory and the cascade failure model to examine the pathways through which causal factors spread in chemical accidents, aiming to deepen the understanding of and develop strategies for prevention. Initially, chemical accident cases were collected and filtered, followed by a statistical analysis of their basic information. Subsequently, a Causal Analysis of Chemical Accidents (CACA) framework was established based on the 24Model, which facilitated the identification of causative factors within accident cases and the construction of a CACA network model. Using various metrics from complex network theory, the importance of causative factors was assessed. Finally, the critical causative factor-accident propagation paths were obtained by analyzing the influence process among factors based on the cascading failure model, which were validated through nine practical cases. The findings reveal that the three most influential factors in the CACA network are operational errors (IA02), physical hazards (IA04), and chemical hazards (IA05). In key propagation pathways, factors such as the primary responsibility for safety (OC02), the degree of leadership accountability (OC05), and the emphasis on safety training (OC08) play major roles. This paper explores the mechanisms of occurrence, key causative factors, and critical propagation pathways in chemical accidents based on case studies, revealing the causes and processes of such accidents. This knowledge can help enterprises learn from incidents, thereby enhancing the safety of their production processes.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105937"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191262","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 behaviour of biopolymer wet in flammable solvent 生物聚合物在可燃溶剂中的燃烧性能

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.jlp.2026.105966

Benedetta A. De Liso, Gianmaria Pio, Ernesto Salzano

{"title":"Fire behaviour of biopolymer wet in flammable solvent","authors":"Benedetta A. De Liso, Gianmaria Pio, Ernesto Salzano","doi":"10.1016/j.jlp.2026.105966","DOIUrl":"10.1016/j.jlp.2026.105966","url":null,"abstract":"<div><div>Several industrial processes deal with solid-liquid hybrid mixtures composed of flammable or combustible species, posing concerns about their behaviour once exposed to undesired conditions, including fires. However, a poor understanding of the safety aspects and possible synergistic effects of the species constituting the mixtures has been gained. This is particularly relevant for polymer production, where innovative materials are continuously introduced. For these reasons, this work presents an innovative and comprehensive methodology for the evaluation of microscopic and macroscopic aspects ruling the fire-behaviour of solid-liquid mixtures of carbon-based substances. Lab-scale thermal analysis (Differential Scanning Calorimetry, DSC, Thermogravimetric Analysis TGA, and TGA coupled with Mass Spectroscopy, TG-MS) and bench-scale thermal oxidative analysis (cone calorimetry) were carried out. Isothermal tests, coupled with mass spectroscopy analyses, have elucidated the chain of events occurring under pyrolysis conditions, whereas fire tests have shed light on the ignitability and the overall kinetics and exothermicity. The proposed approach was applied to the cases of Polyhydroxybutyrate (PHB), Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV), and PHBV-toluene mixtures. The vapour production from liquefied polymer was identified as the rate-determining and crotonic acid was identified as the species ruling the gas-phase reactivity of the polymer. Although two distinguishable behaviours were observed during the degradation of wet polymers, each of them attributable to a pure compound, toluene-polymers interactions were identified, allowing for the realisation of advanced models suitable for an optimised design of industrial processes involving wet polymers.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105966"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191368","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

Development of an environmental-safety risk assessment model for firewater runoff in chemical storage facilities using a double materiality assessment 基于双重物质性评价的化学储存设施火水径流环境安全风险评价模型的建立

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.jlp.2026.105926

Cheolhee Yoon , Gyujin Han , Seungho Jung , Mimi Min

{"title":"Development of an environmental-safety risk assessment model for firewater runoff in chemical storage facilities using a double materiality assessment","authors":"Cheolhee Yoon , Gyujin Han , Seungho Jung , Mimi Min","doi":"10.1016/j.jlp.2026.105926","DOIUrl":"10.1016/j.jlp.2026.105926","url":null,"abstract":"<div><div>Fires at chemical storage facilities, though less frequent than at manufacturing sites, can cause severe secondary damage when contaminated firefighting water enters nearby waterways. Beyond environmental harm, such incidents can generate substantial corporate losses through remediation, compensation, and business interruption. This study positions firewater runoff prevention as both an ESG driven initiative and a practical form of sustainable management, and proposes a field validated grading framework that links ESG materiality to engineering style risk coding for pre incident prioritization.</div><div>On site investigations were conducted at 63 chemical storage facilities to identify structural and managerial risk factors and to construct an initial pool of 21 evaluation items. A double materiality assessment was then applied to screen the pool and select seven final indicators that balance feasibility with risk reduction effectiveness. These indicators were operationalized into a Risk Assessment Code scoring scheme and integrated into an environmental & safety grading matrix to support consistent, on-site decision making.</div><div>By linking runoff prevention directly to loss reduction and ESG performance, the proposed model provides a transparent and reproducible pathway for translating qualitative materiality judgments into quantitative risk grades using field derived evidence. Practically, it helps facility managers and regulators prioritize targeted mitigation actions to reduce both environmental impact and corporate losses.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105926"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191359","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

Flash point prediction of ternary miscible organic mixtures using random forest regression 用随机森林回归预测三元混相有机混合物闪点

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.jlp.2026.105927

Shuangyu Song , Xiaoya Song

{"title":"Flash point prediction of ternary miscible organic mixtures using random forest regression","authors":"Shuangyu Song , Xiaoya Song","doi":"10.1016/j.jlp.2026.105927","DOIUrl":"10.1016/j.jlp.2026.105927","url":null,"abstract":"<div><div>Measuring the flash points (FP) of multicomponent organic mixtures, which are widely used in the chemical industry, is a time-consuming and laborious process. Although numerous FP prediction models have been proposed, most of them focus on predicting the FP of pure components and binary mixtures, and few studies have addressed ternary or higher component mixtures. In this study, we measured the FPs of 341 compositions from six ternary aqueous–organic mixtures and developed a FP prediction model based on the quantitative structure–property relationship (QSPR) principle using the obtained data. Molecular descriptors for each component were generated using Dragon software, and the mixture descriptors were computed based on logarithmic mixing rules. During the model construction process, a multistage approach utilizing random forest regression (RFR) was employed to develop a highly precise model for predicting the FP values of ternary miscible organic mixtures. The results demonstrate that our proposed model is robust and predictive, achieving coefficient of determination (<span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>), root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) values of 0.9641, 3.4086, 2.1961, and 0.6955%, respectively, on the test set. Furthermore, we compared our proposed model with other existing ternary mixture FP prediction methods from the literature to confirm its superiority. The results obtained her ein can be applied to assessments of fire and explosion hazards in the chemical industry and engineering.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105927"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081496","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

Mitigating fire whirl hazards in vertically extended spaces of process facilities through water mist suppression 通过抑制水雾，减轻工艺设施垂直扩展空间中的火灾漩涡危险

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.2026.105955

RyhNan Pan , ShiuanCheng Wang , ChengLung Lee , ChungHwei Su

引用次数: 0

Seismic resilience assessment of natural gas pipeline networks: an agent-based stochastic simulation approach 天然气管网地震弹性评估：基于agent的随机模拟方法

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-29 DOI: 10.1016/j.jlp.2026.105934

Huixian Shi , Xinxin Tan , Jie He , Min Jiang , Chao Chen

{"title":"Seismic resilience assessment of natural gas pipeline networks: an agent-based stochastic simulation approach","authors":"Huixian Shi , Xinxin Tan , Jie He , Min Jiang , Chao Chen","doi":"10.1016/j.jlp.2026.105934","DOIUrl":"10.1016/j.jlp.2026.105934","url":null,"abstract":"<div><div>Seismic hazards unpredictably threaten critical infrastructure. Enhancing the seismic resilience of natural gas supply systems is paramount, given gas's vital role in the global energy transition towards carbon neutrality. Previous models for assessing the resilience fail to capture the complex dynamic evolution of pipeline network performance and account for the cumulative effects of aftershock sequences. Overcoming these limitations, this study proposes a novel quantitative model using pipeline network dynamic flow and agent-based simulation. The model conceptualizes pipeline network dynamics as emergent behavior from agent interactions under seismic excitation. Combining pipeline agent behavior with network fluid dynamics simulation provides timely transmission performance across stages. Besides, the ETAS (Epidemic Type Aftershock Sequence) model is employed to consider the effects of aftershock sequences on network performance. Furthermore, Monte Carlo simulation dynamically quantifies network transmission performance to obtain resilience values under stochastic hazard scenarios to account for uncertainties in earthquake occurrence and intensity. A case study illustrates the model's practical application. Results show that the proposed model effectively captures the dynamic system response from disruption to recovery. Moreover, cumulative seismic effects significantly prolong recovery times and amplify the performance degradation. Thus, aftershock sequences cannot be ignored in modeling natural gas pipeline seismic resilience.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105934"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191261","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

Static water spray model for radiation attenuation in fire simulations using FLACS 基于FLACS的火灾模拟中辐射衰减的静态水喷雾模型

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jlp.2026.105960

Michał T. Lewandowski, Lorenzo Mauri, Deiveegan Muthusamy, Idar Storvik, Gordon Atanga, Yogesh Gawas, Connor Bloodworth, Djurre Siccama

{"title":"Static water spray model for radiation attenuation in fire simulations using FLACS","authors":"Michał T. Lewandowski, Lorenzo Mauri, Deiveegan Muthusamy, Idar Storvik, Gordon Atanga, Yogesh Gawas, Connor Bloodworth, Djurre Siccama","doi":"10.1016/j.jlp.2026.105960","DOIUrl":"10.1016/j.jlp.2026.105960","url":null,"abstract":"<div><div>Thermal radiation is a major contributor to heat transfer in fires, especially in medium- to large-scale industrial scenarios. Water spray systems are commonly used to mitigate this hazard by providing cooling and radiation shielding, helping to protect critical equipment and reduce the spread of fire. However, simulating such systems in computational fluid dynamics (CFD) using fully coupled multiphase models is often computationally prohibitive—particularly in large-scale risk assessments involving many scenarios. This study presents a simple Static Water Spray Model (SWSM) developed within the FLACS solver to provide an efficient alternative. The model estimates spatial distributions of water volume fraction and droplet size using empirical and physics-consistent relations. These distributions are then passed to the radiation solver based on the Discrete Transfer Method (DTM) to compute attenuation effects due to absorption and scattering. The SWSM is easy to define, requiring only few inputs, and computationally lightweight, making it suitable for full-scale simulations where practical engineering insights are needed with limited setup time. The model was first verified by comparison with detailed simulations from another model, the Fire Dynamics Simulator (FDS), and subsequently validated using two independent experimental datasets. Finally, a large-scale industrial scenario involving a pool fire at a biogas facility was simulated to demonstrate its real-world applicability. The proposed approach offers a practical balance between simplicity, accuracy, and performance, and is well suited for use in fire safety engineering studies and early-stage design evaluations.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105960"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191256","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

Wetting characteristics of coal dust by rhamnolipid and chemical surfactant compound systems 鼠李糖脂与化学表面活性剂复合体系对煤尘润湿特性的影响

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.jlp.2026.105924

Lin-Quan Tong , Jiang-Shi Zhang , Zhong-Bin Zhang , Yong Cao , Yang Xiao , Xin Jia

{"title":"Wetting characteristics of coal dust by rhamnolipid and chemical surfactant compound systems","authors":"Lin-Quan Tong , Jiang-Shi Zhang , Zhong-Bin Zhang , Yong Cao , Yang Xiao , Xin Jia","doi":"10.1016/j.jlp.2026.105924","DOIUrl":"10.1016/j.jlp.2026.105924","url":null,"abstract":"<div><div>To address the poor wetting performance of rhamnolipid on coal dust finer than 200 mesh and mitigate its adverse effects on workers and the environment, an efficient and environmentally friendly composite dust suppressant with both adhesive and wetting capabilities was developed. Through surface tension tests, contact angle analysis, and molecular dynamics simulations, OP-10 was identified as the optimal synergistic agent for rhamnolipid. Comprehensive evaluation confirmed that an OP-10-to-rhamnolipid ratio of 3:1 yielded the best performance: compared with single-component rhamnolipid, the composite system reduced surface tension by 0.57 mN/m, decreased contact angle by approximately 10°, and increased sedimentation rate by 1.4 mg/s. Scanning electron microscopy observations showed enhanced coal particle aggregation and adhesion, while stability analysis verified that the composite system avoided the poor stability of single rhamnolipid, ensuring long-term usability in mining environments. SEM observations revealed that the composite formulation significantly improved coal particle aggregation and adhesion. This composite suppressant not only addresses the inefficiency of pure water and single surfactants in coal dust control but also delivers significant environmental and occupational health benefits. Its compatibility with existing wet dust control technologies enables immediate industrial application, providing a practical solution for sustainable coal mine dust management.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105924"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191362","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

Construction and analysis of a chemical accidents causation network based on text mining: Evidence from China 基于文本挖掘的化工事故因果网络构建与分析：来自中国的证据

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.2026.105942

Siwei Lou, Shuang Yao

{"title":"Construction and analysis of a chemical accidents causation network based on text mining: Evidence from China","authors":"Siwei Lou, Shuang Yao","doi":"10.1016/j.jlp.2026.105942","DOIUrl":"10.1016/j.jlp.2026.105942","url":null,"abstract":"<div><div>To effectively manage and control risks associated with chemical accidents, this paper aims to develop a quantitative risk analysis methodology. This methodology integrates text mining, association rules, complex network analysis, and Grey Relational Analysis (GRA) to investigate the causal factors and propagation paths of chemical accidents. First, this study performed text mining on 106 accident reports collected from China, identifying 54 major accident causal factors. To verify the reliability and cross-national universality of these factors, we compared the accident type distribution and the causal factor system with international research findings. The results demonstrated their universality and representativeness. Based on the strong association rules identified among these factors, this study constructed a chemical accident causation network. Subsequently, through the cross-validation of network centrality, robustness analysis, and Grey Relational Analysis, 15 key risk factors were definitively identified. Further accident path analysis revealed that management factors constitute the causation level most likely to lead to an accident. The analysis also successfully uncovered the critical causal paths for four different types of accidents. The findings of this research provide theoretical support for identifying key causes and controlling risk propagation, offering significant practical guidance for chemical safety production practices.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105942"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191257","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

Addressing the challenges of operational mechanisms within safety case regime: A case study of China 应对安全案例制度下运行机制的挑战：以中国为例

IF 4.2 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.jlp.2026.105936

Hao Chenyu , Fan Yunxiao , Xu Luyao , Yang Xiao , Ju Xing , Xu Haoyi , Pei Jingjing

{"title":"Addressing the challenges of operational mechanisms within safety case regime: A case study of China","authors":"Hao Chenyu , Fan Yunxiao , Xu Luyao , Yang Xiao , Ju Xing , Xu Haoyi , Pei Jingjing","doi":"10.1016/j.jlp.2026.105936","DOIUrl":"10.1016/j.jlp.2026.105936","url":null,"abstract":"<div><div>Originally developed in the UK offshore sector, the Safety Case is a regulatory regime requiring operators to demonstrate that risks are adequately managed, and has been adopted by more countries and industries. However, many studies show that the operational mechanisms within Safety Case regime are highly susceptible to failure under differing regulatory contexts. This study aims to investigate how such failures occur and how to analyze and address the challenges of cross-contextual implementation. The Chinese case, characterized by long-standing implementation and a contrasting institutional context, provides an opportunity to examine how such regimes evolve and potentially fail under different regulatory contexts. This study examines the Chinese case through a combination of literature review, statistical analysis, and Functional Resonance Analysis Method (FRAM). The findings indicate that differences in regulatory contexts induce functional variabilities in Safety Case, which may result in their diminished effectiveness or failure. For countries that have similar regulatory contexts to China, increasing business responsibility in Safety Case, enhancing third-party independence, and adopting a more cooperative and service-oriented position by regulators can help enhance the adaptability of the Safety Case regime. The study also demonstrates the value of FRAM in modeling institutional systems with complex interactions. By revealing how regulatory context shapes operational mechanisms, this research contributes to both theoretical understanding and practical reform of safety governance in diverse institutional settings.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"101 ","pages":"Article 105936"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191370","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