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Related Concept Videos

Corrosion of Reinforcement01:27

Corrosion of Reinforcement

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The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
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The degradation of metals due to natural electrochemical processes is known as corrosion. Rust formation on iron, tarnishing of silver, and the blue-green patina that develops on copper are examples of corrosion. Corrosion involves the oxidation of metals. Sometimes it is protective, such as the oxidation of copper or aluminum, wherein a protective layer of metal oxide or its derivatives forms on the surface, protecting the underlying metal from further oxidation. In other cases, corrosion is...
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Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
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Corrosion quantification of plate-type structures using Lamb wavefield and monogenic signal processing.

Hu Sun1, Weihan Shao1, Jiannan Song1

  • 1School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

Ultrasonics
|January 25, 2023
PubMed
Summary

This study introduces a novel Lamb wavefield algorithm using monogenic signal processing to accurately detect and quantify corrosion in structures. The method precisely identifies corrosion location, area, shape, and depth, outperforming existing techniques.

Keywords:
Corrosion QuantificationLamb WavefieldMonogenic SignalPhase Unwrapping

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Area of Science:

  • Structural Health Monitoring
  • Non-Destructive Testing
  • Materials Science

Background:

  • Corrosion significantly compromises structural integrity and safety.
  • Accurate quantification of corrosion parameters is crucial for risk assessment.
  • Existing methods for corrosion detection have limitations in accuracy and speed.

Purpose of the Study:

  • To develop and validate a Lamb wavefield-based algorithm for precise corrosion quantification.
  • To address the phase wrapping issue in monogenic signal processing for Lamb waves.
  • To evaluate the algorithm's performance in identifying various corrosion types and parameters.

Main Methods:

  • Utilized monogenic signal processing based on Riesz transform for Lamb wavefield analysis.
  • Developed a robust fast phase unwrapping algorithm to overcome phase wrapping challenges.
  • Employed finite element simulations and experimental laser ultrasonic testing for validation.

Main Results:

  • The proposed algorithm accurately quantifies corrosion location, area, shape, and depth.
  • Demonstrated superior accuracy and reduced calculation time compared to existing algorithms.
  • Successfully identified circular, umbrella, and square corrosion types in simulations and experiments.

Conclusions:

  • The developed Lamb wavefield-based monogenic signal processing algorithm offers a highly accurate and efficient solution for corrosion quantification in plate-type structures.
  • The robust phase unwrapping technique effectively resolves a key challenge in monogenic signal processing.
  • The non-contact laser ultrasonic system combined with the algorithm provides a promising approach for real-world structural health monitoring.