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Article Dans Une Revue Ultrasonics Année : 2022

Monitoring saltwater corrosion of steel using ultrasonic coda wave interferometry with temperature control

Résumé

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.

Dates et versions

hal-03673345 , version 1 (19-02-2024)

Identifiants

Citer

Maxime Farin, Emmanuel Moulin, Lynda Chehami, Farouk Benmeddour, Cyril Nicard, et al.. Monitoring saltwater corrosion of steel using ultrasonic coda wave interferometry with temperature control. Ultrasonics, 2022, 124, pp.106753. ⟨10.1016/j.ultras.2022.106753⟩. ⟨hal-03673345⟩
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