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[1]倪金禄,樊建春,周威,等.隔水管脉动冲击疲劳损伤磁记忆检测试验研究[J].中国安全生产科学技术,2018,14(11):64-69.[doi:10.11731/j.issn.1673-193x.2018.11.010]
 NI Jinlu,FAN Jianchun,ZHOU Wei,et al.Experimental study on magnetic memory detection for fatigue damage of drilling riser under pulsating impact[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(11):64-69.[doi:10.11731/j.issn.1673-193x.2018.11.010]
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隔水管脉动冲击疲劳损伤磁记忆检测试验研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年11期
页码:
64-69
栏目:
职业安全卫生管理与技术
出版日期:
2018-11-30

文章信息/Info

Title:
Experimental study on magnetic memory detection for fatigue damage of drilling riser under pulsating impact
文章编号:
1673-193X(2018)-11-0064-06
作者:
倪金禄1樊建春1周威1刘祥元1刘书杰2张红生3
(1.中国石油大学(北京) 机械与储运工程学院,北京 102249; 2.中海油研究总院,北京 100027; 3.中海石油(中国)有限公司,北京 100010)
Author(s):
NI Jinlu1 FAN Jianchun1 ZHOU Wei1 LIU Xiangyuan1 LIU Shujie2 ZHANG Hongsheng3
(1. College of Mechanical and Transportation Engineering, China University of Petroleum(Beijing), Beijing 102249, China;2. CNOOC Research Institute, Beijing 100027, China;3. CNOOC China Ltd., Beijing 100010, China)
关键词:
隔水管疲劳损伤磁记忆技术表面形貌特征参数定量评估
Keywords:
drilling riser fatigue damage magnetic memory technology surface morphology characteristic parameters quantitative assessment
分类号:
X937;TE952
DOI:
10.11731/j.issn.1673-193x.2018.11.010
文献标志码:
A
摘要:
为研究深水钻井过程中隔水管疲劳失效的检测问题,将磁记忆技术应用于隔水管疲劳损伤检测。选用典型隔水管材料X80开展脉动冲击疲劳损伤磁记忆检测试验,使用光学显微镜观测试样表面形貌并测量裂纹长度;采集试样表面切向磁记忆信号并提取特征参数,建立基于磁记忆技术的疲劳损伤定量评估方法。研究结果表明:对比显微观测结果,切向磁记忆信号特征参数变化能够实现对疲劳损伤进程的准确表征且能够准确地检测裂纹的萌生及失稳扩展;切向磁记忆信号波谷值绝对值和梯度峰峰值绝对值均与裂纹长度呈线性递增关系。该方法可为进一步研究基于磁记忆技术的隔水管疲劳损伤早期诊断方法提供理论与数据支撑。
Abstract:
The frequent fatigue failure of drilling riser during the deepwater drilling process severely affect the work safety. In order to solve this problem, the magnetic memory technology was applied in the fatigue damage detection of drilling riser. The magnetic memory detection tests on the fatigue damage of X80 steel, a typical material of the drilling riser, under the pulsating impact were carried out, then the surface morphology of the samples were observed by using the optical microscope, and the crack length was measured. The tangential magnetic memory signals of the sample surface were collected, and the characteristic parameters were extracted, then a quantitative assessment method of fatigue damage based on the magnetic memory technology was established. The results showed that compared with the microobservation results, the change of characteristic parameters of tangential magnetic memory signals could characterize the process of fatigue damage accurately, and the initiation and instability expansion of crack could be detected accurately. Both the absolute values of trough value and gradient peaktopeak value of the tangential magnetic memory signals presented the linear increasing relationship with the crack length. This method can provide the theoretical and data support for the further research on the early diagnosis method for fatigue failure of drilling riser based on the magnetic memory technology.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2018-09-11
基金项目: 国家重点研发计划项目(2017YFC0804500)
作者简介: 倪金禄,硕士研究生,主要研究方向为安全监测与智能诊断工程。
通信作者: 樊建春,博士,教授,主要研究方向为状态监测与智能诊断、安全检测及预警、油井管完整性检测及评价、摩擦学。
更新日期/Last Update: 2018-12-03