Yu Kaimin, Peng Zixuan, Zhang Yuanfang, Zhu Peibin, Chen Wen, Hao Jianzhong
School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China.
School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.
Micromachines (Basel). 2024 Aug 29;15(9):1098. doi: 10.3390/mi15091098.
This study addresses the limitation of traditional non-destructive testing methods in real-time corrosion monitoring of pipe elbows by proposing the utilization of fiber Bragg grating (FBG) strain sensors, renowned for their resilience in harsh environments. However, the current mathematical relationship model for strain representation of elbow corrosion is still lacking. This paper develops a finite element model to scrutinize the strain changes in the elbow due to corrosion under hydrostatic pressure and bending loads. To mitigate temperature loading effects, the corrosion degree is evaluated through the disparity between hoop and axial strains. Simulation outcomes reveal that, under hydrostatic pressure, the strain difference exhibits minimal changes with the increase in corrosion degree, while under bending moment loading, the strain difference escalates proportionally with corrosion progression. Consequently, strain induced by bending moment loading solely characterizes the corrosion degree. Moreover, the optimal placement for FBG sensors is identified at the extrados of the pipe elbow, where strain is most prominent. These insights enhance comprehension of strain-corrosion dynamics in pipe elbows, offering valuable guidance for developing an FBG-based monitoring system for real-time corrosion tracking and predictive maintenance of pipeline infrastructures.
本研究针对传统无损检测方法在管道弯头实时腐蚀监测中的局限性,提出利用光纤布拉格光栅(FBG)应变传感器,这种传感器以其在恶劣环境中的韧性而闻名。然而,目前用于表示弯头腐蚀应变的数学关系模型仍然缺乏。本文建立了一个有限元模型,以研究在静水压力和弯曲载荷作用下,弯头因腐蚀而产生的应变变化。为了减轻温度载荷的影响,通过环向应变和轴向应变之间的差异来评估腐蚀程度。模拟结果表明,在静水压力下,应变差异随腐蚀程度的增加变化很小,而在弯矩载荷作用下,应变差异随腐蚀进展成比例增加。因此,仅由弯矩载荷引起的应变表征了腐蚀程度。此外,确定了FBG传感器的最佳放置位置在管道弯头的外弧面,此处应变最为显著。这些见解增强了对管道弯头应变-腐蚀动力学的理解,为开发基于FBG的监测系统以进行管道基础设施的实时腐蚀跟踪和预测性维护提供了有价值的指导。