Farin Maxime, Moulin Emmanuel, Chehami Lynda, Benmeddour Farouk, Nicard Cyril, Campistron Pierre, Bréhault Olivier, Dupont Lucie
Univ. Polytechnique Hauts-de-France (UPHF), Univ. Lille, CNRS, Centrale Lille, UMR 8520 - IEMN - Institut d'Electronique, de Microélectronique et de Nanotechnologie, F-59000 Lille, France.
Univ. Polytechnique Hauts-de-France (UPHF), Univ. Lille, CNRS, Centrale Lille, UMR 8520 - IEMN - Institut d'Electronique, de Microélectronique et de Nanotechnologie, F-59000 Lille, France; INSA Hauts-de-France Le Mont Houy, F-59313 Valenciennes, France.
Ultrasonics. 2022 Aug;124:106753. doi: 10.1016/j.ultras.2022.106753. Epub 2022 Apr 27.
Assessing corrosion is crucial in the petrochemical and marine industries. Usual ultrasonic methods based on pulse-echo and guided waves to detect corrosion lack of precision and struggle in structures with a complex shape. In this paper, a complementary and sensitive ultrasonic method based on coda wave interferometry is presented to detect and quantify thickness loss caused by saltwater corrosion of a steel sample. The method consists in exciting the sample and measuring periodically the scattered coda signal. Correlation of the coda signal with a reference taken for the sample initial state permits the monitoring of corrosion spread with a high accuracy. A laboratory experiment is conducted with two steel samples immersed in saltwater with coda and temperature measured simultaneously. One of the samples is protected from corrosion and is used as a control sample to determine the influence of temperature on the coda signals. It is shown that the coda signals on the corroded sample can be temperature-corrected using the temperature measurement only. A control sample is not needed. A good correlation is found between a parameter quantifying the stretching of the coda over time and the corrosion surface, which is monitored with a camera. Finally, a simple theoretical model of coda signal is proposed to quantify the real-time average corrosion rate during the experiment with a sub-micrometric precision. The estimated final average corrosion depth is validated by independent depth profile measurements. The uncertainties and sensitivity of the presented method are investigated.
在石油化工和海洋工业中，评估腐蚀情况至关重要。基于脉冲回波和导波的传统超声方法在检测腐蚀时缺乏精度，并且在形状复杂的结构中应用困难。本文提出了一种基于尾波干涉测量法的互补且灵敏的超声方法，用于检测和量化钢样品因盐水腐蚀导致的厚度损失。该方法包括激励样品并定期测量散射尾波信号。将尾波信号与样品初始状态下的参考信号进行相关性分析，可高精度地监测腐蚀扩展情况。进行了一项实验室实验，将两个钢样品浸入盐水中，同时测量尾波和温度。其中一个样品采取了防腐蚀措施，用作对照样品以确定温度对尾波信号的影响。结果表明，仅使用温度测量就可以对腐蚀样品上的尾波信号进行温度校正，无需对照样品。在一个随时间量化尾波拉伸的参数与通过相机监测的腐蚀表面之间发现了良好的相关性。最后，提出了一个简单的尾波信号理论模型，以亚微米精度量化实验过程中的实时平均腐蚀速率。通过独立的深度剖面测量验证了估计的最终平均腐蚀深度。研究了该方法的不确定性和灵敏度。
