Article
Multidisciplinary Sciences
Heidar Mohammadi, Fereydoon Laal, Farough Mohammadian, Peyman Yari, Mehdi Kangavari, Saber Moradi Hanifi
Summary: This study aimed to assess the dynamic risk of tank storage using modern methods and compare them with traditional methods. The Bow Tie (BT) method and Bayesian network method were used to analyze leakage events and their consequences. The results showed that leakage can lead to serious accidents, and pool fire is the most probable consequence. The integrated approach used in this study provides more objective risk assessment results and can guide accident prevention and emergency preparedness approaches.
Article
Engineering, Environmental
Xingmin Cui, Mingguang Zhang, Wenjie Pan
Summary: This paper analyzed 136 domino effect accidents of atmospheric tanks and proposed a probability analysis model to define the most likely accident chain and the key tank. By combining the heat radiation model under fire extinguishing conditions and dynamic Bayesian network, an escalation model of accident chain was established to verify the feasibility. The study is of great significance for handling domino accidents in atmospheric tank farm.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Aerospace
Xing Pan, Song Ding, Wenjin Zhang, Tun Liu, Liqin Wang, Lijing Wang
Summary: This paper proposes a risk analysis framework based on Bayesian network with fuzzy method for probabilistic risk analysis of space launch systems (SLSs), aiming to reduce the uncertainty of the model and effectively deal with the uncertainties in the field of space launches. The method establishes a risk analysis model of SLS based on statistics and expert experience and provides guidance for similar engineering projects through a case study of space launches.
Article
Engineering, Marine
Chongchong Guo, Wenhua Wu
Summary: In this study, a comprehensive dynamic quantitative risk assessment method is proposed to study the whole process of Marine Nuclear Power Platforms (MNPP) disconnect operations. The method includes expert fuzzy opinion aggregation using the similarity aggregation method (SAM) and developing a dynamic Bayesian networks (DBNs) model to predict the dynamic probability of failure during the disconnect operations. The results can be used to update event probabilities, identify likely causes of accidents, and develop safety control measures.
Article
Engineering, Multidisciplinary
Xingguang Wu, Huirong Huang, Weichao Yu, Yuming Lin, Yanhui Xue, Qingwen Cai, Jili Xu
Summary: This study proposes a novel accident analysis approach based on Bayesian networks (BNs) to comprehensively consider the interdependence between causal factors and their complex interactions. The BN model, established through structural and parameter learning, accurately predicts accident outcomes and explores hidden correlations. The proposed method and findings provide important technical reference and decision support for accident investigation, prevention, and risk management.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Engineering, Chemical
Li Li, Kaili Xu, Xiwen Yao, Shoukun Chen
Summary: This paper probabilistically analyzed explosion accidents of molten aluminium in contact with water during aluminium production using a fuzzy Bayesian network. A fault tree-Bayesian network model was established to analyze the cause-effect relationship of the explosion accidents, identifying key problems and providing safety recommendations based on the analysis results.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2021)
Article
Multidisciplinary Sciences
Rui Huang, Baoguo Liu, Jinglai Sun, Yu Song, Mingyuan Yu
Summary: This study introduces a method for analyzing the risk of tunnel collapse based on a multi-state fuzzy Bayesian network, which screens risk factors, determines collapse probability, and critical risk factors through fault tree analysis and Bayesian network modeling; an improved similarity aggregation method is used to integrate expert opinions, reducing the impact of excessive differences in views; the method allows for dynamic risk analysis in tunnel construction.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Manvi Kaushik, Mohit Kumar
Summary: This study proposes an integrated intuitionistic fuzzy fault tree and Bayesian network-based method for evaluating system failure probability when failure data is imprecise and insufficient. The root causes of 'parted rope injury during ship mooring operation' are identified using fault tree analysis. The proposed method effectively deals with uncertainty and updates failure probabilities using a Bayesian network model. The results demonstrate that this approach is a viable alternative for probabilistic reliability evaluation when statistical failure data is not precise.
Article
Construction & Building Technology
Junwu Wang, Feng Guo, Yinghui Song, Yipeng Liu, Xuan Hu, Chunbao Yuan
Summary: Prefabricated buildings are being promoted in China as a more environmentally friendly option due to reduced waste and carbon emissions. This paper combines Bayesian Network (BN) and an improved Human Factors Analysis and Classification System (HFACS) model to analyze the safety risks during the hoisting process of prefabricated buildings.
Article
Engineering, Industrial
Yinuo Chen, Zhigang Tian, Rui He, Yifei Wang, Shuyi Xie
Summary: This study proposes a structure mapping method based on failure modes and effects analysis (FMEA) to form the GTS's object-oriented Bayesian network (OOBN) framework, making the model more user-friendly and enabling real-time discovery of potential risks. The proposed method identifies process anomalies through monitoring data and analyzes the events and propagation patterns with the highest potential risk. A case study of a GTS in China demonstrates the benefits of this method in assisting station operators in identifying possible hazards and providing a foundation for daily risk mitigation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Green & Sustainable Science & Technology
Ibrahim M. Hezam, Pratibha Rani, Arunodaya Raj Mishra, Ahmad Alshamrani
Summary: Wheelchairs are commonly used assistive devices to improve mobility and quality of life for people with walking difficulties. Smart wheelchairs are equipped with sensors, cameras, and computer-based structures to perform specific tasks. Autonomous smart wheelchairs for disabled individuals rely on a human-user interface for decision-making, with smart control technology handling the rest of the motion automatically.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Engineering, Industrial
Meng Lan, Jiping Zhu, Siuming Lo
Summary: A hybrid Bayesian network-based landslide risk assessment model was developed to evaluate the risk on storage tanks in slope-industrial interfaces, highlighting the sensitivity of landslide risk to geological and geomorphic conditions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Green & Sustainable Science & Technology
Lidong Pan, Yu Zheng, Juan Zheng, Bin Xu, Guangzhe Liu, Min Wang, Dingding Yang
Summary: Refining and chemical integration is a major trend in the global petrochemical industry, but it also brings complex and diverse accident risks, posing new challenges to safety. This study analyzed 159 accident cases of dangerous chemicals in China from 2017 to 2021 and proposed a Bayesian network-based risk analysis model to clarify the characteristics and root causes of accident risks in large refining enterprises. The results provide useful insights for safety risk management and control in petrochemical enterprises.
Article
Computer Science, Information Systems
Barbara Pekala, Krzysztof Dyczkowski, Przemyslaw Grzegorzewski, Urszula Bentkowska
Summary: The study focuses on measuring the degree of inclusion and similarity between interval-valued fuzzy sets and introduces a new approach for constructing indicators based on precedence relation, aggregation, and uncertainty assessment. Selected properties and interactions of the proposed measures are examined, followed by a discussion and comparison with existing similarity measures in the literature.
INFORMATION SCIENCES
(2021)
Article
Engineering, Chemical
Fakhradin Ghasemi, Kamran Gholamizadeh, Amirhasan Farjadnia, Alireza Sedighizadeh, Omid Kalatpour
Summary: This study used a hybrid technique of Fuzzy sets theory (FST), Bayesian network (BN), and Human Factors Analysis and Classification System (HFACS) to quantitatively investigate a toxic gas leakage accident. The contributing factors were extracted, classified, and quantified using FST, BN, and HFACS. The results identified conflicts, poor safety culture, substandard equipment usage, lack of proper inspection on newly-purchased equipment, and safety violations as the most critical factors contributing to the accident.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2022)
Article
Engineering, Environmental
Xingxing Hu, Lingjie Liu, Yanmeng Bi, Lu Li, Chunsheng Qiu, Jingjie Yu, Shaopo Wang
Summary: In this study, the impact of exogenous folate on the start-up process of single-stage partial nitritation-anammox (SPNA) was evaluated using two lab-scale reactors. The results showed that folate addition can enhance nitrogen removal rate, extracellular polymeric substances production, hydrazine oxidase and dehydrogenase activity, as well as the relative abundance of Candidatus Brocadia.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Shaocang He, Tingting Shen, Jing Sun, Haoqi Pan, Chenxu Sun, Tianpeng Li, Runyao Li, Enshan Zhang
Summary: A novel process of acid leaching neutralization was developed for the preparation of inorganic polymeric composite ferric aluminum silicate coagulant (CFAS) using solid waste coal gasification coarse slag (CGCS). The optimized preparation process was determined through single-factor experiment and the performance of CFAS was evaluated for domestic sewage treatment. The results showed that CFAS exhibited excellent coagulation ability and achieved significant removal efficiency for turbidity, ammonia nitrogen, and chemical oxygen demand.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kinga Szatmari, Sandor Nemeth, Alex Kummer
Summary: In this article, a resilience-based reinforcement learning approach is proposed to address the potential thermal runaway issue in batch reactors. By calculating the resilience metric for reactors and utilizing Deep Q-learning to decide when to intervene in the system, resilient-based mitigation systems can be effectively developed.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingyou Jiang, Qi Yao, Mingqing Su, Jingjing Li, Kunlun Lu, Dawei Ding, Han Hong
Summary: This study investigates the inhibitory characteristics and mechanisms of ABC powder on coal powder explosion. The addition of ABC powder significantly decreases the maximum explosion pressure and can completely suppress coal dust explosions. The study also reveals the thermal decomposition characteristics and reaction kinetics of the mixed system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kubilay Bayramoglu, Mustafa Nuran
Summary: This study examines the feasibility of using pyrolytic oil from waste tires as fuel in diesel engines, and evaluates its energy, exergy, and sustainability. The results indicate that pyrolytic oil has potential as a renewable fuel source with relatively high thermal efficiency.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Xinru Duan, Yejia Lv, Jiaxing Hong, Jianzhong Wu, Jia Zhang, Yang Yue, Guangren Qian
Summary: This study successfully prepared a tube reactor with optimized catalyst formula, which showed good performance in removing dioxins and other pollutants in the experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Jiaoyang Du, Xueming Dang, Xiaorong Gan, Xin Cui, Huimin Zhao
Summary: In this study, a photocatalyst-enzyme hybrid system was constructed, which solved the issue of enzyme inactivation caused by high concentration of H2O2 through photocatalytic in-situ H2O2 production, and improved the stability and catalytic efficiency of the enzyme. The effectiveness of the system in treating phenolic EDCs was confirmed through experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Fu-Rong Xiu, Longsheng Zhan, Yingying Qi, Xinyue Lei, Jiali Wang, Haipeng Zhou, Wenting Shao
Summary: This study developed a synergetic and high-efficiency treatment of waste tantalum capacitors (WTCs) and polyvinyl chloride (PVC) using subcritical water process. The treatment significantly reduced the temperature and reaction time for metal tantalum recovery from WTCs, and improved the dechlorination efficiency of PVC. The optimized conditions resulted in 100% resin conversion efficiency of WTCs and 97.39% dechlorination efficiency of PVC. The interaction between decomposition products of WTCs and PVC produced a high level of benzoic acid.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingda Li, Jiaming Song, Yuting Li, Chaoying Meng, Shuxian Wang, Linghao Zong, Honggang Ye, Yishuai Jing, Feng Teng, Peng Hu, Haibo Fan, Guangde Chen, Xin Zhao
Summary: CdPS3 nanosheets, especially those exfoliated by sodium cholate, have shown highly efficient photocatalytic degradation performance. The strong dark adsorption and dye-sensitized photocatalytic properties of CdPS3 nanosheets contribute to high degradation efficiencies of various pollutants.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Dongxu Ouyang, Yimei Pang, Bo Liu, Zhirong Wang
Summary: This study investigates the thermal runaway features of lithium-ion cells under tunnel conditions, considering different states of charge and tunnel ceilings. The results show that the tunnel visibility is affected by the smoke generated during thermal runaway, and the shape of the tunnel ceiling influences the temperature rise differently.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
