Article
Engineering, Marine
Xiangkun Meng, Guoming Chen, Jingyu Zhu, Tieshan Li
Summary: This paper presents an integrated method using the system-theoretic accident model and process (STAMP) and Bayesian network (BN) for safety assessment of blowout preventer (BOP). The method identifies failure scenarios and calculates probabilities of potential failure modes. A case study demonstrates the feasibility of the integrated method and its reference value for safety analysis of complex systems.
Article
Engineering, Industrial
Zengkai Liu, Qiang Ma, Baoping Cai, Xuewei Shi, Chao Zheng, Yonghong Liu
Summary: This paper proposes a novel method to quantify risk coupling of subsea blowout accidents based on DBN and NK model. By classifying and analyzing risk factors, a developed DBN model can describe the dynamic characteristics of risk evolution and risk coupling of the accidents. Sensitive analysis and quantification of risk factors' influences can be performed with this model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Xiangdi Kong, Baoping Cai, Yonghong Liu, Hongmin Zhu, Chao Yang, Chuntan Gao, Yiqi Liu, Zengkai Liu, Renjie Ji
Summary: Faults in closed-loop feedback control systems are difficult to identify. Redundancy improves system reliability but poses new challenges for fault diagnosis in multiple redundant systems. This study proposes a causality-based method using dynamic Bayesian networks for fault diagnosis, which dynamically evaluates system performance and integrates monitoring information to assist diagnosis and location.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Marine
Tao Li, Dapeng Jiang, Peng Xie
Summary: The mechanical behavior of slip rams in anchoring and suspending pipe strings for subsea blowout preventers is explored. The wedge stress theory and thick-walled cylinder theory are applied to analyze the anchoring and suspending mechanical behavior of slip rams. The numerical results validate the applicability of the theories. Visible damage and plastic deformation occur in slip rams or CT90 tubes after anchoring and suspending operations.
Article
Engineering, Industrial
Bangtang Yin, Boyao Li, Gang Liu, Zhiyuan Wang, Baojiang Sun
Summary: The study applied Bayesian networks for quantitative risk analysis on offshore blowouts, identifying key risk factors such as shallow gas, abnormal high pressure, and BOP failure. The research provided greater value by considering the complex characteristics of geological conditions, drilling technologies, and common cause failures in surface and subsea BOP systems.
Article
Engineering, Marine
Huixing Meng, Xu An
Summary: This paper proposes an integrated model combining fault tree, dynamic Bayesian network, and fuzzy set theory for estimating the probability of emergency failure. The model is used to evaluate the risk of emergency operations in deepwater blowout accidents, identify risk factors, and improve emergency response capabilities.
Article
Engineering, Marine
Tao Li, Dapeng Jiang, Bing Liu, Yongjie Zhao, Peng Xie
Summary: This study analyzes the plastic deformation and fracture cross section of drill pipe using the plastic deformation theory and different ram structure configurations. The results show that the final fracture cross section of CT90 tube is a rhombus circle and the structure parameters have limited effect on pipe stress.
Article
Engineering, Petroleum
Jose Luis Parraga Quispe, Lei Zhu, Segen F. Estefen, Marcelo Igor Lourenco de Souza
Summary: This paper studies two aspects of BOP shearing capability in deepwater drilling activities: the required shear force to cut the pipe inside BOP successfully and the time it takes to shear the pipe and close the well. A finite element model and an analytical hydraulic model are used to calculate the maximum shear force of a typical drillpipe and the BOP closing time. A case study is presented to estimate the emergency disconnect sequence time in a deepwater offshore scenario.
SPE DRILLING & COMPLETION
(2022)
Article
Engineering, Marine
Mohammad Yazdi, Faisal Khan, Rouzbeh Abbassi
Summary: Microbiologically Influenced Corrosion (MIC) poses a significant challenge to offshore oil and gas facilities, leading to pinholes and leaks. Preventive (coatings, cathodic protection) and mitigative (inhibitor and biocide treatment) actions are crucial for pipeline integrity management. A multi-objective functional methodology involving dynamic continuous Bayesian network modeling and a genetic algorithm is proposed to minimize operational risks associated with MIC.
Article
Engineering, Mechanical
Yang Liu, Liqin Qian, Chengyu Xia, Jiayan Zou, Zhanghua Lian, Xianzhong Yi
Summary: By deducing the basic calculation formula of the sealing geometric parameters of the spherical blowout preventer and optimizing the constitutive relationship of rubber core material, this study investigates the deformation law, stress distribution, and sealing performance of the rubber core. The results reveal the causes of failure within the spherical rubber core, such as stress concentration at the bottom and high stress values in the neck and back of the support rib. Indoor tests confirm that the optimized rubber core structure meets pressure requirements, ensuring improved service life.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Engineering, Marine
Chen Shi, Jialu Wang, Lingzhi Yang, Xingxian Bao
Summary: A Bayesian Network model was developed to evaluate the probability of failure of TCP subsea pipelines and diagnose the likely causes of failure when subjected to external impacts, with case study examples demonstrating the effectiveness and applicability of the model.
INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING
(2022)
Article
Engineering, Aerospace
Na Lu, Bin Meng
Summary: This study proposes a risk analysis model integrating Interpretative Structural Modeling (ISM) and Bayesian Network (BN) to explore the risk factors, causal relationships, and coupling mechanism of airplane upsets. Seventeen key risk factors leading to airplane upsets were identified through analysis, and a multi-level interpretative structural model and a data-driven BN model were constructed. The results have important theoretical significance and application value in preventing airplane upsets risk.
Article
Engineering, Environmental
Yingying Wang, Zhihuang Chen, Qing Yan, Yangdong Hu, Cong Wang, Wentao Luo, Baoping Cai
Summary: This paper presents a methodology integrating FEA and DBN for fault diagnosis of fatigue cracks of subsea wellhead connectors with material aging. The study concludes that the structural failure probability of the subsea wellhead connector increases after 30 years of service.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Mechanical
Gang Hu, Mingcheng Wang, Guorong Wang, Tingjie Zhu, Lihong Wei
Summary: This paper investigates the sealing performance and failure mechanism of the packing unit in RBOP, utilizing a Yeoh constitutive model and finite element analysis to optimize structural parameters. The study provides valuable insights into the factors influencing packing unit failure and has practical implications for structural design.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Mechanical
Javed Akbar Khan, Sonny Irawan, Ahgheelan Seela Thurai, Baoping Cai
Summary: Flat-time operations are crucial in the oil and gas drilling process, with reducing flat time leading to decreased well costs. Research has shown that BOP flat time significantly impacts total flat time, with factors such as rig procedure and BOP configuration affecting BOP flat time.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Automation & Control Systems
Baoping Cai, Xiaoyan Shao, Yonghong Liu, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Engineering, Mechanical
Chao Zheng, Xinlei Wu, Xuefei Zheng, Hui Jin, Yonghong Liu
Summary: This study compared the wear performance of a dissolvable magnesium alloy with that of a 7075 aluminum alloy under dry sliding conditions, showing that the dissolvable magnesium alloy had lower friction coefficients but higher wear rates. Mechanical testing revealed that the dissolvable magnesium alloy had higher ultimate tensile strength and compressive strength.
Article
Engineering, Environmental
Zengkai Liu, Qiang Ma, Baoping Cai, Yonghong Liu, Chao Zheng
Summary: This paper introduces a dynamic risk assessment model for evaluating the safety of deepwater drilling operations, which can comprehensively analyze the risk factors and clarify the impact of blowouts. By analyzing risk factors, developing dynamic Bayesian network model, and conducting risk analysis, the model provides insights into the risks associated with blowouts.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Metallurgy & Metallurgical Engineering
Bao-ping Cai, Chao Yang, Yong-hong Liu, Xiang-di Kong, Chun-tan Gao, An-bang Tang, Zeng-kai Liu, Ren-jie Ji
Summary: This study proposes a data-driven early leakage localization approach based on Bayesian networks, using wavelet transform for signal noise reduction to improve accuracy. An example with a hydraulic system with eight valves demonstrates the application of this method.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2021)
Article
Computer Science, Artificial Intelligence
Baoping Cai, Keke Hao, Zhengda Wang, Chao Yang, Xiangdi Kong, Zengkai Liu, Renjie Ji, Yonghong Liu
Summary: PMSM is a common core power component in modern industrial systems, but early fault diagnosis is difficult with low accuracy. A Bayesian-network-based method is proposed and validated. When using acoustic emission signal, the accuracy can exceed 90%.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Industrial
Baoping Cai, Wenchao Li, Yiliu Liu, Xiaoyan Shao, Yanping Zhang, Yi Zhao, Zengkai Liu, Renjie Ji, Yonghong Liu
Summary: A novel methodology based on multi-stage dynamic Bayesian networks is proposed for evaluating safety instrumented systems with heterogeneous components, constructing a unified evaluation model and an automatic modeling method for conditional probability tables. The approach can calculate the average probability of failure on demand, probability of failing safety, and life-cycle cost of SISs, helping designers determine the configuration of heterogeneous redundant structures.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Manufacturing
Chi Ma, Changlong Li, Yuhao Yan, Yonghong Liu, Xinlei Wu, Dege Li, Hui Jin, Fan Zhang
Summary: This study proposed a novel in situ vibration method to suppress the challenges of coarse grains in wire and arc additive manufacturing (WAAM). By applying vibration during the manufacturing process, the grain size in both fine grain zone and coarse grain zone was reduced. The mechanical strength and hardness of the parts were improved after the vibration treatment.
3D PRINTING AND ADDITIVE MANUFACTURING
(2023)
Article
Mechanics
Dege Li, Haoren Li, Guodong Yang, Jide Wang, Bingfang Huang, Xinlei Wu, Qiang Sun, Chi Ma, Yonghong Liu, Yanzhen Zhang
Summary: This study investigates the characteristics and mechanisms of confined interface vibration inkjet printing (CIVIJP) at high frequencies, and proposes a new method for adjusting the droplet size, which is of great significance for improving inkjet printing efficiency.
Article
Mechanics
Dege Li, Yi Cao, Bingfang Huang, Xinlei Wu, Guofang Hu, Xiaolong Wang, Yonghong Liu, Yanzhen Zhang
Summary: The breakup process of an inviscid liquid bridge sandwiched between two coaxial rods is investigated, with a focus on its profile close to rupture and its influence on subsequent breakup behaviors. The profile of the liquid bridge undergoes a transition from symmetry to asymmetry as the distance between the rods increases. A critical slenderness is found above which the liquid bridge becomes asymmetric and exhibits a well-fitted profile of a sine wave cycle. Experimental and theoretical results show that the ratio of bridge length to equivalent radius is always 2 pi for the asymmetric bridge close to rupture. The influence of slenderness on the time interval between asymmetric pinch-off events, velocity, destination, and size of the satellite droplet is explored.
Article
Mechanics
Dege Li, Haoren Li, Guodong Yang, Yi Cao, Bingfang Huang, Xinlei Wu, Qiang Sun, Chi Ma, Yu Zhou, Yonghong Liu, Yanzhen Zhang
Summary: This study proposes a confined interface vibration inkjet printing technique that allows for printing patterns in a liquid environment with smaller droplet sizes. By adjusting the intensity of the pulse stimulation, the size and quantity of the dispensed droplets can be controlled, enriching the fundamental theory of inkjet printing in liquid phase.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Nanoscience & Nanotechnology
Dege Li, Jide Wang, Guodong Yang, Xinlei Wu, Zihao Li, Guofang Hu, Xiaolong Wang, Yonghong Liu, Yanzhen Zhang
Summary: In this study, a high-throughput piezoelectric droplet dispensing technique based on the resonance of the liquid column within the glass capillary was proposed. Experimental and theoretical studies showed that the resonance frequencies of different orders of the liquid column perfectly matched the theoretical value. It was further demonstrated that droplets could be ejected by a driving voltage as low as 1 V when the working frequency was close to the resonant frequency of the piezoelectric ceramic. This ultra-low driving voltage and power consumption make this dispenser compatible with various digital transistor-transistor logic or complementary metal-oxide-semiconductor drive circuits without any power amplifier.
Article
Automation & Control Systems
Xinlei Wu, Yonghong Liu, Xuexin Zhang, Dege Li, Baoping Cai
Summary: The authors propose a novel high-efficiency machining method called electrical discharge assisted arc milling (EDAAM) to address the problems in processing difficult-to-cut materials. By adopting an intelligent servo control system, EDAAM can greatly improve machining efficiency and reduce the risk of workpiece scrapping.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Baoping Cai, Hongyan Fan, Xiaoyan Shao, Yonghong Liu, Guijie Liu, Zengkai Liu, Renjie Ji
Summary: This study proposed a RUL re-prediction method based on the Wiener process, which combines the current monitoring status and historical degradation data of the system. The dynamic Bayesian networks model is used to address the uncertainty caused by missing data.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Chemical
Chao Chen, Hang Chen, Li Mo, Shenbin Xiao, Changjun Li, Ming Yang, Genserik Reniers
Summary: Fire-induced domino effect is a major threat to hazardous material storage tanks. Previous research neglected the impact of wind load on the thermal buckling behavior of tanks exposed to fire. This paper conducts a numerical simulation to analyze the synergistic effects of fire and wind loads on the thermal post-buckling behavior of storage tanks, considering wind parameters and heat radiation parameters.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Zhang Chu, Liu Lili, Li Wei, Li Beibei, Liu Mingxing
Summary: This study predicts the fatigue life of blasting discs using a combined simulation method and measures the deformation of conventional slotted blasting discs subjected to repeated loading using a high-precision laser scanning method. A relationship model is established between deformation, loading pressure, cycle number, and change in blasting pressure. The results show that the deformation varies linearly with the cycle number and follows a power function relationship with the change in blasting pressure. The deformation can be used to accurately predict the fatigue life of blasting discs.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Shin-Mei Ouyang, Jia-Chi Ye, Wei-Chun Chen, Yu-Jen Chen, Chin-Feng Chen
Summary: This study employed the Taguchi method and analysis of variance to investigate the factors that influence the deterioration of pyrotechnics when stored under different humidity and temperature conditions. Various experimental methods were used to study the microstructure, heat flow, and safety of the pyrotechnics. The results showed that humidity had a significant impact on the pyrotechnics, and controlling humidity could reduce the hazards associated with storing pyrotechnics.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Bei Li, Huiqiang Liu, Heng Gao, Chi-Min Shu, Mingshu Bi
Summary: The moisture content sprayed into the dust layer in industrial sites is a main factor affecting reignition. The study found that moisture has a certain influence on the thermophysical properties of the dust layer, playing an important role in heat transfer and heat absorption processes. The results showed that as the moisture content increased, the thermal conductivity and heat sink density of the sample increased, indicating the need to have a heat sink density higher than the heat increase value to suppress ignition.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Yue Jing, Yong Pan, Fan Yang, Dan Wei, Wenhe Wang
Summary: A comprehensive risk assessment method for the esterification process was proposed in this study. It established a comprehensive evaluation index system and utilized improved Dempster-Shafer evidence theory and cloud model for assessment. The method was validated through case studies and showed consistency with established indexes.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)