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http://hdl.handle.net/10397/77345
| 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 |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Zou_Data-Enabled_Quantitative_Corrosion.pdf | Pre-Published version | 1.11 MB | Adobe PDF | View/Open |
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