[1]孙宝财,朱蔡文,凌晓.基于SVR的含缺陷管道剩余强度研究*[J].中国安全生产科学技术,2022,18(2):172-176.[doi:10.11731/j.issn.1673-193x.2022.02.026]
SUN Baocai,ZHU Caiwen,LING Xiao.Research on residual strength of pipeline with defects based on SVR[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(2):172-176.[doi:10.11731/j.issn.1673-193x.2022.02.026]
点击复制
基于SVR的含缺陷管道剩余强度研究*
SUN Baocai,ZHU Caiwen,LING Xiao.Research on residual strength of pipeline with defects based on SVR[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(2):172-176.[doi:10.11731/j.issn.1673-193x.2022.02.026]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 18
- 期数:
- 2022年2期
- 页码:
- 172-176
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2022-02-28
文章信息/Info
- Title:
- Research on residual strength of pipeline with defects based on SVR
- 文章编号:
- 1673-193X(2022)-02-0172-05
- Keywords:
- support vector regression; pipeline with defects; residual strength; failure pressure; machine learning
- 分类号:
- X937
- 文献标志码:
- A
- 摘要:
- 针对采用标准预测含缺陷管道剩余强度误差较大这一问题，在Matlab中建立基于SVR的含缺陷管道剩余强度预测模型，并基于60组含缺陷管道爆破试验数据进行训练测试，以验证模型的实际性能。结果表明：SVR模型预测测试集结果的最小相对误差为0.55%，最大相对误差为10.35%，平均相对误差为2.63%，预测结果的R2高达0.990 1，验证了SVR模型的准确性和鲁棒性，研究结果可为管道运行调度及检维修提供决策支持。
- Abstract:
- Aiming at the problem of large error when using the standard to predict the residual strength of defective pipelines,a prediction model for the residual strength of pipeline with defects based on SVR was established in Matlab.In order to verify the actual performance of the model,the SVR model was trained and tested by using 60 sets of blasting test data of the pipeline with defects.The results showed that the minimum relative error of the prediction test set results of the SVR model was 0.55%,the maximum relative error was 10.35%,the average relative error was 2.63 %,and the R2 of the prediction result was as high as 0.9901,so the accuracy and robustness of the SVR model were verified.The results can provide the decision support for the operation scheduling and maintenance of pipelines.
参考文献/References:
［1］高鹏,高振宇,赵赏鑫,等.2020年中国油气管道建设新进展［J］.国际石油经济,2021,29(3):53-60.GAO Peng,GAO Zhenyu,ZHAO Shangxin,et al.New progress in China’s oil and gas pipeline construction in 2020［J］.International Petroleum Economics,2021,29(3):53-60.
［2］李雪,朱庆杰,周宁,等.油气管道腐蚀与防护研究进展［J］.表面技术,2017,46(12):206-217.LI Xue,ZHU Qingjie,ZHOU Ning,et al.Oil-gas pipe corrosion and protection［J］.Surface Technology,2017,46(12):206-217.
［3］骆正山,李娇.基于子集模拟的埋地管道失效概率评估［J］.中国安全生产科学技术,2017,13(3):90-95.LUO Zhengshan,LI Jiao.Failure probability assessment of buried pipeline based on subset simulation［J］.Journal of Safety Science and Technology,2017,13(3):90-95.
［4］李沧,徐鲁帅,孙宝财,等.基于改进Bow-tie模型的动力管道风险分析［J］.化工机械,2019,46(5):491-494.LI Cang,XU Lushuai,SUN Baocai,et al.Power pipeline risk analysis based on improved bow-tie model［J］.Chemical Engineering & Machinery,2019,46(5):491-494.
［5］ ASME B31G-2009.Manual for determining the remaining strength of corroded pipelines［S］.New York:American Society of Mechanical Engineers,2009.
［6］ KIEFNER J F,VIETH P H.A modified criterion for evaluation the remaining strength of corroded pipe ［C］//Final Reporton Project PR3-805 to the Pipeline Research Committee of the American Gas Association,1989.
［7］ DENNY R,STEPHENS B N.Development of alternative criterion for residual strength of corrosion defects in moderate-to-high-toughness pipe ［C］//Battelle Energy Products Division,505 King Ave Columbus,Ohio 43201-2693.In:2000 international pipeline conference,vol.2.ASME 2000.
［8］ CSA Z662-07.Limit state equation for burst of large leaks and rupture for corrosion defect ［S］.Canada:Canadian Standards Association,2007,554-555.
［9］ NETTO T A,FERRAZ U S,ESTEFAN S F.The effect of corrosion defect on the burst pressure of the pipeline［J］.Journal of Constructional Steel Research，2005(61):185-204.
［10］王战辉,马向荣,党睿,等.含矩形腐蚀缺陷管道剩余强度的有限元分析［J］.当代化工,2020,49(8):1715-1718.WANG Zhanhui,MA Xiangrong,DANG Rui,et al.Finite element analysis of residual strength of pipeline with rectangular corrosion defect［J］.Contemporary Chemical Industry,2020,49(8):1715-1718.
［11］MA B,SHUAI J,LIU D,et al.Assessment on failure pressure of high strength pipeline with corrosion defects［J］.Engineering Failure Analysis,2013,32:209-219.
［12］王勇,李洋,孙世斌,等.腐蚀缺陷管道剩余强度ANSYS有限元模拟可行性研究［J］.兵器材料科学与工程,2014,37(3):12-16.WANG Yong,LI Yang,SUN Shibin,et al.Feasibility of finite element analysis on residual strength of pipeline with corrosion defects［J］.Ordnance Material Science and Engineering,2014,37(3):12-16.
［13］MURAKAMI K,YOSHIZAWA S,ISHII H,et al.Dynamic optimization of svr control parameters for improving tap operation efficiency of voltage control in distribution networks［J］.IEEJ Transactions on Electrical and Electronic Engineering,2020,16(1):67-77.
［14］陈同俊,王新,管永伟.基于SVR和地震属性的构造煤厚度定量预测［J］.煤炭学报,2015,40(5):1103-1108.CHEN Tongjun,WANG Xin,GUAN Yongwei.Quantitative prediction of tectonic coal seam thickness using support vector regression and seismic attributes［J］.Journal of China Coal Society,2015,40(5):1103-1108.
［15］SHI W F,WANG N,XIN A X,et al.Quantifying the independent influences of land cover and humidity on microscale urban air temperature variation in hot summer:methods of path analysis and genetic SVR［J］.Atmosphere,2020,11(12):11121377.
［16］GAO J,YANG P,LI X,et al.Analytical prediction of failure pressure for pipeline with long corrosion defect［J］.Ocean Engineering,2019,191:106497.
相似文献/References:
[1]吕彦伟,刘钦节,付强,等.基于紧凑拉伸试验的含缺陷燃气管疲劳寿命预测分析[J].中国安全生产科学技术,2019,15(11):96.[doi:10.11731/j.issn.1673-193x.2019.11.015]
LYU Yanwei,LIU Qinjie,FU Qiang,et al.Analysis on fatigue life prediction of gas pipeline containing defect based on compact tensile test[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(2):96.[doi:10.11731/j.issn.1673-193x.2019.11.015]
备注/Memo
- 备注/Memo:
-
收稿日期： 2021-06-03
* 基金项目： 国家自然科学基金项目（51904138）；甘肃省自然科学基金项目（21JR7RA221，20JR5RA451）
作者简介： 孙宝财，博士，高级工程师，主要研究方向为油气储运设备安全保障技术。
通信作者： 凌晓，博士，副教授，主要研究方向为油气储运设备安全保障技术。
