Wang Yu, Li Xueyi
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Materials (Basel). 2020 Apr 10;13(7):1786. doi: 10.3390/ma13071786.
Continuous monitoring for defects in oil and gas pipelines is important for leakage prevention. This paper proposes a new kind of pipe elbow damage identification technique, which consists of three processes. First, piezoelectric sensors evenly arranged along the circumference of the pipeline in the turn generated ultrasonic guided wave signals in the elbow. Then, the wavefront flight time at each grid node in the known sound field were computed using the fast-marching algorithm. Finally, an elbow wall thickness map reconstruction technique based on the sparse inversion method was proposed to identify elbow defects. Compared with the traditional elbow defect identification technology, this technology can not only detect the existence of the defect but also accurately locate the defect position.
持续监测油气管道中的缺陷对于预防泄漏至关重要。本文提出了一种新型的管道弯头损伤识别技术，该技术由三个过程组成。首先，沿管道圆周均匀布置在转弯处的压电传感器在弯头中产生超声导波信号。然后，使用快速行进算法计算已知声场中每个网格节点处的波前飞行时间。最后，提出了一种基于稀疏反演方法的弯头壁厚图重建技术来识别弯头缺陷。与传统的弯头缺陷识别技术相比，该技术不仅可以检测缺陷的存在，还能准确地定位缺陷位置。
