A Correlation-Based Approach to Corrosion Detection with Lamb Wave Mode Cutoff

  • Xuwei Cao
  • Liang Zeng
  • Jing LinEmail author
  • Jiadong Hua


Time of flight and amplitude attenuation are commonly used features for corrosion detection in Lamb wave testing, but the sensitivity is limited by their individual application scenarios. The mode cutoff of Lamb waves is available and sensitive to determine and describe corrosion patches. In this paper, an approach is proposed by detecting envelope variations of a particular higher order mode after propagating through the inspected area. The excitation frequency is selected slightly above its cutoff frequency, leading to a preferable sensitivity for corrosion detection. After dispersion compensation and windowing, envelope difference coefficient is established as a correlation-based indicator to describe these variations. Such a technique could be used to scan multiple paths and provide a comprehensive corrosion map. Experiments are performed on a corroded aluminum plate. The interference from scattered components has also been discussed in detail. Based on our proposed indicator, the probability reconstruction algorithm provides an acceptable diagnosis map. In addition, the effectiveness of our indicator under different corrosion widths and depths is verified by a series of finite element simulations.


Corrosion detection Nondestructive testing Mode cutoff Envelope difference coefficient Dispersion compensation 



The work is supported by the National Natural Science Foundation of China (Grant Nos. 51875435, 51421004), and the China Postdoctoral Science Foundation (Grant No. 2018M643627), which are highly appreciated by the authors.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Authors and Affiliations

  1. 1.Shaanxi Key Laboratory of Mechanical Product Quality Assurance and Diagnostics, State Key Laboratory of Manufacturing System Engineering, School of Mechanical EngineeringXi’an Jiaotong UniversityXi’anChina
  2. 2.Science & Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems EngineeringBeihang UniversityBeijingChina

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