隔水管脉动冲击疲劳损伤磁记忆检测试验研究
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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。
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.
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.
引文
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[2] LARSEN C M,HALSE K H. Comparison of models for vortex induced vibrations of slender marine structures[J]. Marine Structure,1997,10(10):413-441.
[3]畅元江.深水钻井隔水管设计方法及其应用研究[D].北京:中国石油大学(北京),2008.
[4] DUBOV A A. A study of metal properties using the method of magnetic memory[J]. Metal Science&Heat Treatment,1997,39(9):401-405.
[5] WILSON J W,GUI Y T,BARRANS S. Residual magnetic field sensing for stress measurement[J]. Sensors&Actuators A Physical,2007,135(2):381-387.
[6] SHI P,JIN K,ZHENG X. A magnetomechanical model for the magnetic memory method[J]. International Journal of Mechanical Sciences,2017,124:229-241.
[7] ARIFFIN A,AHMAD I M. Detection of cracked position due to cyclic loading for ferromagnetic materials based on magnetic memory method[J]. Jurnal Teknologi,2015,75:67-70.
[8]王虹富,樊建春.套管损伤磁记忆检测信号定量研究[J].中国安全生产科学技术,2016,12(12):116-120.WANG Hongfu, FAN Jianchun. Quantitative study on magnetic memory detection signal of casing damage[J]. Journal of Safety Science and Technology,2016,12(12):116-120.
[9] SHEN G T,HU B. Investigation on metal magnetic memory signal during loading[J]. International Journal of AppliedElectromagnetics and Mechanics,2010(33):1329-1334.
[10] DONG L H,XU B S,DONG S,et al. Monitoring fatigue crack propagation of ferromagnetic materials with spontaneous abnormal magnetic signals[J]. International Journal of Fatigue,2008,30(9):1599-1605.
[11]董世运,徐滨士,董丽虹,等.金属磁记忆检测技术用于再制造毛坯寿命预测的试验研究[J].中国表面工程,2006,19(5):71-75.DONG Shiyun,XU Binshi,DONG Lihong,et al. Experiment research on metal magnetic memory methods for life prediction of remanufacturing old parts[J]. China Surface Engineering,2006,19(5):71-75.
[12] YANG E,LI L M,CHEN X. Magnetic field aberration induced by cycle stress[J]. Journal of Magnetism and Magnetic Materials,2007,312(1):72-77.
[13]路胜卓.磁记忆用于材料热处理质量评估的方法研究[D].哈尔滨:哈尔滨工业大学,2007.
[14] LO C C H,KINSER E,JILES D C. Modeling the interrelating effects of plastic deformation and stress on magnetic properties of materials[J]. Journal of Applied Physics,2003,93(10):6626-6628.
[15] REN S K,LI X L,REN J L,et al. Studies on physical mechanism of metal magnetic memory testing technique[J]. Journal of Nanchang HangKong University,2008,22(2):11-17.