[1] 张新生,李亚云,王小完.基于逆高斯过程的腐蚀油气管道维修策略[J].石油学报,2017,38(3):356-362.
ZHANG Xinsheng,LI Yayun,WANG Xiaowan.Maintenance strategy of corroded oil-gas pipeline based on inverse Gaussian process[J].Acta Petrolei Sinica,2017,38(3):356-362.
[2] 王天瑜.天然气管道风险分析与安全距离计算方法研究[D].北京:中国矿业大学(北京),2017.
WANG Tianyu.Risk analysis and study on calculation method of safety distances for natural gas pipelines[D].Beijing:China University of Mining & Technology (Beijing),2017.
[3] 邢潇,崔淦,杨紫晴,等.管线钢的裂纹生长预测新模型[J].石油学报,2019,40(6):740-747.
XING Xiao,CUI Gan,YANG Ziqing,et al.A new model to predict crack growth rate in pipeline steel[J].Acta Petrolei Sinica,2019,40(6):740-747.
[4] 杨锋平,罗金恒,李鹤,等.X90超高强度输气钢管材料本构关系及断裂准则[J].石油学报,2017,38(1):112-118.
YANG Fengping,LUO Jinheng,LI He,et al.Constitutive law and fracture criteria of X90 ultrahigh-strength gas-transmission steel pipe material[J].Acta Petrolei Sinica,2017,38(1):112-118.
[5] 单克,帅健,张思弘.基于修正因子的油气管道失效概率评估[J].中国安全科学学报,2016,26(1):87-93.
SHAN Ke,SHUAI Jian,ZHANG Sihong.Adjustment factors based assessment of oil and gas pipelines failure probability[J].China Safety Science Journal,2016,26(1):87-93.
[6] ZHANG Shenwei.Development of probabilistic corrosion growth models with applications in integrity management of pipelines[D].Ontario:The University of Western Ontario,2014.
[7] HASAN S,KHAN F,KENNY S.Probability assessment of burst limit state due to internal corrosion[J].International Journal of Pressure Vessels and Piping,2012, 89:48-58.
[8] TEIXEIR A P,GUEDES SOARES C,NETTO T A,et al.Reliability of pipelines with corrosion defects[J].International Journal of Pressure Vessels and Piping,2008,85(4):228-237.
[9] ASME.Manual for determining the remaining strength of corroded pipelines:ASME B31G-2009[S].USA:America Society of Mechanic Engineering,1991.
[10] ASME.Manual for determining the remaining strength of corroded pipelines:ASME B31G-199[S].USA:America Society of Mechanic Engineering,2012.
[11] ZHOU Wenxing,HUANG G X.Model error assessments of burst capacity models for corroded pipelines[J].International Journal of Pressure Vessels and Piping, 2012,99-100:1-8.
[12] DNV-RP-F101 Recommend practice DNV-RP-F101 corroded pipelines[S]. Norway:Det Norske Veritas,2004.
[13] STEPHENS D R,LEIS B N.Development of an alternative criterion for residual strength of corrosion defects in moderate-to high-toughness pipe[C]//Proceedings of the 3rd International Pipeline Conference.Calgary,Alberta,Canada:ASME,2000.
[14] QIAN Guian,NIFFENEGGER M,LI Shuxin.Probabilistic analysis of pipelines with corrosion defects by using FITNET FFS procedure[J].Corrosion Science,2011,53(3):855-861.
[15] 张鹏,彭杨.考虑随机变量相关性的腐蚀管道失效概率[J].石油学报,2016,37(10):1293-1301.
ZHANG Peng,PENG Yang.Failure probability of corroded pipeline considering random variables correlation[J].Acta Petrolei Sinica,2016,37(10):1293-1301.
[16] 韩文海,周晶.海底管道腐蚀模型对比研究[J].石油工程建设,2014,40(3):9-13.
HAN Wenhai,ZHOU Jing.Comparative research of corrosion models for corroded submarine pipelines[J].Petroleum Engineering Construction,2014,40(3):9-13.
[17] TEE K F,PESINIS K.Reliability prediction for corroding natural gas pipelines[J].Tunnelling and Underground Space Technology,2017,65:91-105.
[18] DATTA K,FRASER D R.A corrosion risk assessment model for underground piping[C]//2009 Annual Reliability and Maintainability Symposium.Fort Worth,TX,USA:IEEE,2009.
[19] ZHOU Wenxing.System reliability of corroding pipelines[J].International Journal of Pressure Vessels and Piping,2010,87(10):587-595.
[20] CHAUHAN V,BRISTER J,DAFEA M.A review of methods for assessing the remaining strength of corroded pipelines[R].Washington DC,USA:GL Industrial Services USA,2009.
[21] ADVANTICA.Corrosion assessment guidance for high strength steels[R].Houston,Texas,USA:PRCI,2008.
[22] 杨桂元.对预测模型优劣性评价的方法探讨[J].统计与信息论坛,1999(1):12-16.
YANG Guiyuan.Discussion on the method of evaluating the pros and cons of prediction models[J].Forum on Statistics and Information,1999(1):12-16.
[23] SCHORFHEIDE F.Loss function-based evaluation of DSGE models[J].Journal of Applied Econometrics,2000,15(6):645-670.
[24] KAHLE W,MERCIER S,PAROISSIN C.Degradation processes in reliability[M].New Jersey:Wiley-ISTE,2016:1-184.
[25] CHENG T,PANDEY M D.An accurate analysis of maintenance cost of structures experiencing stochastic degradation[J].Structure and Infrastructure Engineering,2012,8(4):329-339.
[26] MAES M A,FABER M H,DANN M R.Hierarchical modeling of pipeline defect growth subject to ILI uncertainty[C]//Proceedings of the ASME 28th international conference on Ocean,Offshore and Arctic Engineering.Honolulu,Hawaii,USA:ASME,2009.
[27] PAN Donghui,LIU Jiabao,CAO Jinde.Remaining useful life estimation using an inverse Gaussian degradation model[J].Neurocomputing,2016,185:64-72.
[28] ZHANG Shenwei,ZHOU Wenxing,QIN Hao.Inverse Gaussian process-based corrosion growth model for energy pipelines considering the sizing error in inspection data[J].Corrosion Science,2013,73:309-320.
[29] GAO Hongda,CUI Lirong,KONG Dejing.Reliability analysis for a Wiener degradation process model under changing failure thresholds[J].Reliability Engineering & System Safety,2018,171:1-8.
[30] ZHANG Zhengxin,SI Xiaosheng,HU Changhua,et al,Degradation data analysis and remaining useful life estimation:a review on Wiener-process-based methods[J].European Journal of Operational Research,2018,271(3):775-796.
[31] 刘晓东,李著信.应用Monte-Carlo法计算输油管道腐蚀失效概率[J].油气储运,2007,26(12):16-19.
LIU Xiaodong,LI Zhuxin.Using monte-carlo method to calculate failure probability of oil pipeline[J].Oil & Gas Storage and Transportation,2007,26(12):16-19. |