基于Gamma过程的水下连接器密封性能退化随机模型
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摘要
水下连接器服役期间密封性能退化现象客观存在,为准确获得不同时刻连接器的密封性能指标,考虑密封面接触应力和有效接触长度对水下连接器密封性能的影响,以密封接触强度为连接器密封性能评价指标,建立连接器密封性能有限元分析模型,结合Norsok腐蚀速率预测模型,获得不同时刻连接器密封接触强度指标。以此作为密封性能退化数据,根据密封性能退化过程随机性与不可逆性特点,采用Gamma过程建立连接器密封性能退化随机模型,形成水下连接器密封性能退化模型建模新方法。
The degradation phenomenon of sealing performance for sub-sea connector is objective presence. In order to obtain the sealing performance index of sub-sea connector at different moments accurately,the finite element model of sealing performance analysis is established,in which the seal contact strength is introduced as the evaluate index to consider the influence of contact stress and contact length on sealing performance. And the values of seal contact strength at different moments are obtained combined with the Norsok prediction model of corrosion rate. Taking the obtained values of seal contact strength as sealing performance degradation sample,a stochastic model of sub-sea connector sealing performance degradation based on Gamma process is presented,considering the randomness and irreversibility of the sealing performance degradation process. Then,a novel modeling approach of sub-sea connector sealing performance degradation is formed.
The degradation phenomenon of sealing performance for sub-sea connector is objective presence. In order to obtain the sealing performance index of sub-sea connector at different moments accurately,the finite element model of sealing performance analysis is established,in which the seal contact strength is introduced as the evaluate index to consider the influence of contact stress and contact length on sealing performance. And the values of seal contact strength at different moments are obtained combined with the Norsok prediction model of corrosion rate. Taking the obtained values of seal contact strength as sealing performance degradation sample,a stochastic model of sub-sea connector sealing performance degradation based on Gamma process is presented,considering the randomness and irreversibility of the sealing performance degradation process. Then,a novel modeling approach of sub-sea connector sealing performance degradation is formed.
引文
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13 鲍兆伟,顾晓辉,刘海旭,等.基于Copula函数选择的多元退化产品可靠性模型[J].科学技术与工程,2018,18(5):26-32Bao Zhaowei,Gu Xiaohui,Liu Haixu,et al. Reliability model of multivariate degradation product based on Copula function selection[J]. Science Technology and Engineering,2018,18(5):26-32
2 张康,洪毅,段梦兰,等.深水水下连接器国产化设计关键技术[J].石油科学通报,2017(1):123-132Zhang Kang,Hong Yi,Duan Menglan,et al. Key design technologies of developing China's own subsea connectors[J]. Petroleum Science Bulletin,2017(1):123-132
3 魏宗亮,王立权,关雨,等.新型海底管道连接器密封性能的优化[J].华中科技大学学报(自然科学版),2017,45(3):40-45Wei Zongliang,Wang Liquan,Guan Yu,et al. Sealing performance optimization of the novel subsea pipeline connector[J]. Journal of Huazhong University of Science&Technology(Natural Science Edition),2017,45(3):40-45
4 运飞宏,王立权,刘军,等.深水卡爪式连接器密封优化分析及试验研究[J].华中科技大学学报(自然科学版),2017,45(4):23-28Yun Feihong,Wang Liquan,Liu Jun,et al. Optimization analysis and experimental research on seal of subsea collet connector[J].Journal of Huazhong University of Science&Technology(Natural Science Edition),2017,45(4):23-28
5 王立权,魏宗亮.深海油气管道连接器密封机理与多目标优化研究[J].天然气工业,2016,36(8):116-123Wang Liquan,Wei Zongliang. Sealing mechanism and multi-objective optimization of deepwater pipeline connectors[J]. Natural Gas Industry,2016,36(8):116-123
6 唐文献,曹伟枫,张建,等.水下井口连接器密封结构性能分析[J].石油机械,2016,44(3):82-87Tang Wenxian,Cao Weifeng,Zhang Jian,et al. Performance analysis of subsea wellhead connector sealing structure[J]. China Petroleum Machinery,2016,44(3):82-87
7 陈晓芳,赵宏林,罗晓兰,等.水下卧式采油树井口连接器VX钢圈力学特性研究[J].石油机械,2014,42(8):62-67Chen Xiaofang,Zhao Honglin,Luo Xiaolan,et al. Study on mechanical properties of the VX gasket of subsea horizontal christmas tree wellhead connector[J]. China Petroleum Machinery,2014,42(8):62-67
8 Murtagian G R,Fanelli V,Villasante J A,et al. Sealability of stationary metal-to-metal seals[J]. Journal of Tribology,2004,126(3):591-596
9 安宗文,高建雄,刘波.基于P-S-N曲线的强度退化随机模型[J].计算力学学报,2015(1):118-122An Zongwen,Gao Jianxiong,Liu Bo. Stochastic model of strength degradation based on P-S-N curve[J]. Chinese Journal of Computational Mechanics,2015(1):118-122
10 郑洋,万夫,周咏琳. H2S腐蚀下钻杆材料疲劳性能研究.科学技术与工程,2017,17(3):47-53Zhen Yang,Wan Fu,Zhou Yonglin. Study on fatigue performance of drill pipe material under H2S corrosion[J]. Science Technology and Engineering,2017,17(3):47-53
11 Kirkemo F,Osen P,Katla E,et al. New edition of the NORSOK U-001 for subsea production systems[C]//Proceedings of the ASME2016 Pressure Vessels&Piping Conference. British Columbia:The American Society of Mechanical Engineers,2016:1-17
12 王挺,樊志新.轮轴间过盈量对动态变形量影响的模拟研究[J].科学技术与工程,2018,18(15):293-298Wang Ting,Fan Zhixin. Simulation investigation on the influence of interference between wheel and axle on the deformation[J]. Science Technology and Engineering,2018,18(15):293-298
13 鲍兆伟,顾晓辉,刘海旭,等.基于Copula函数选择的多元退化产品可靠性模型[J].科学技术与工程,2018,18(5):26-32Bao Zhaowei,Gu Xiaohui,Liu Haixu,et al. Reliability model of multivariate degradation product based on Copula function selection[J]. Science Technology and Engineering,2018,18(5):26-32