Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77345
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Title: Data-enabled quantitative corrosion monitoring using ultrasound
Authors: Zou, F 
Issue Date: Dec-2018
Source: Data-enabled discovery and applications, Dec. 2018, v. 2, no. 8, p. 1-5
Abstract: Corrosion is the most pervasive degradation mechanism of engineering infrastructure. It has caused numerous disastrous events that resulted in devastating societal, environmental and financial consequences. There exist numerous standard techniques for corrosion monitoring. Among these techniques, ultrasonic testing stands out as a non-intrusive and straightforward approach. Component wall-thickness loss rate (WTLR) is an intrinsic parameter of corrosion processes. Accurate and rapid determination of WTLRs from continuous ultrasonic wall-thickness loss (WTL) measurements is a critical aspect of effective corrosion control. In this paper, a statistics-based method that enables automatic detection of changes in WTLR will be introduced. The detection method further extends the application of ultrasonic corrosion monitoring to more sophisticated corrosion processes that involve multiple rates. Statistical analysis of ultrasonic WTL measurements that were acquired by a state-of-the-art laboratory setup shows that changes in WTLR of 0.1–0.2 mm/year can be determined within 1–2 h.
Keywords: Non-destructive testing
Structural health monitoring
Corrosion monitoring
Ultrasound
Piezoelectric
Generalised likelihood algorithm
Publisher: Springer International Publishing AG
Journal: Data-enabled discovery and applications 
EISSN: 2510-1161
DOI: 10.1007/s41688-018-0021-6
Rights: © Springer International Publishing AG, part of Springer Nature 2018
This is a post-peer-review, pre-copyedit version of an article published in Data-Enabled Discovery and Applications. The final authenticated version is available online at: http://dx.doi.org/10.1007/s41688-018-0021-6
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