Wang Guoqing, Xia Qi, Yan Hong, Bei Shicheng, Zhang Huakai, Geng Hao, Zhao Yuhan
School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Liaoning Nonferrous Geological Exploration Institute Limited Liability Company, Shenyang 110013, China.
Sensors (Basel). 2024 Oct 7;24(19):6463. doi: 10.3390/s24196463.
Oil and gas pipelines are subject to soil corrosion and medium pressure factors, resulting in stress concentration and pipe rupture and explosion. Non-destructive testing technology can identify the stress concentration and defect corrosion area of the pipeline to ensure the safety of pipeline transportation. In view of the problem that the traditional pipeline inspection cannot identify the stress signal at the defect, this paper proposes a detection method using strong and weak magnetic coupling technology. Based on the traditional J-A (Jiles-Atherton) model, the pinning coefficient is optimized and the stress demagnetization factor is added to establish the defect of the ferromagnetic material. The force-magnetic relationship optimization model is used to calculate the best detection magnetic field strength. The force-magnetic coupling simulation of Q235 steel material is carried out by ANSYS 2019 R1 software based on the improved J-A force-magnetic model. The results show that the effect of the stress on the pipe on the magnetic induction increases first and then decreases with the increase in the excitation magnetic field strength, and the magnetic signal has the maximum proportion of the stress signal during the excitation process; the magnetic induction at the pipe defect increases linearly with the increase in the stress trend. Through the strong and weak magnetic scanning detection of cracked pipeline materials, the correctness of the theoretical analysis and the validity of the engineering application of the strong and weak magnetic detection method are verified.
石油和天然气管道会受到土壤腐蚀和介质压力因素的影响,从而导致应力集中以及管道破裂和爆炸。无损检测技术能够识别管道的应力集中和缺陷腐蚀区域,以确保管道运输的安全。鉴于传统管道检测无法识别缺陷处的应力信号这一问题,本文提出一种利用强弱磁耦合技术的检测方法。基于传统的J-A(Jiles-Atherton)模型,对钉扎系数进行优化并添加应力退磁因子,建立铁磁材料的缺陷力-磁关系优化模型,用于计算最佳检测磁场强度。基于改进的J-A力-磁模型,利用ANSYS 2019 R1软件对Q235钢材进行力-磁耦合仿真。结果表明,管道应力对磁感应强度的影响随励磁磁场强度的增加先增大后减小,且在励磁过程中磁信号中应力信号所占比例最大;管道缺陷处的磁感应强度随应力增大呈线性增加趋势。通过对含裂纹管道材料进行强弱磁扫描检测,验证了理论分析的正确性和强弱磁检测方法工程应用的有效性。