Hidden corrosion detection with guided waves

J. L. Rose, D. Jiao, S. P. Pelts, J. N. Barshinger, M. J. Quarry

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

A corrosion detection feasibility study with ultrasonic guided waves is presented. Rather than use normal beam ultrasonic techniques that move point by point over the structure being examined, guided waves are more global in nature allowing examination of regions over 2-3 cm on up to 4-5m with reasonable efficiency in corrosion detection and in estimating average wall thickness between the two transducers. A sample problem in aging aircraft inspection for fuselage thinning is studied and used to illustrate the guided wave inspection procedure and potential for classification and sizing analysis. Special sensitivities to certain kinds of defects are possible with guided waves as a result of wave structure changes across the thickness of the structure by simple mode and frequency changes. A variable angle beam probe and multiple array comb type transducer are considered for flexibility in mode selection and isolation on the dispersion diagrams in order to achieve the special wave structures required for corrosion detection and also for reasonable penetration power. Going beyond the initial feasibility study of guided wave application for the detection of corrosion, a number of tools are developed that can be used in future work to more accurately detect, size, and classify corrosion types in various structures. Boundary element modeling analysis, for example, allows the calculation of reflection and transmission factors for a particular mode and frequency input to a particular pitting or corrosion type defect. This can be followed by detailed feature analysis for subsequent use in neural net algorithm development for corrosion analysis. The physically based features from guided wave analysis can than be used to provide insight and guidance into the algorithm development program using pattern recognition and neural nets.

Original languageEnglish (US)
JournalNACE - International Corrosion Conference Series
Volume1997-March
StatePublished - Jan 1 1997
EventCorrosion 1997 - New Orleans, United States
Duration: Mar 9 1997Mar 14 1997

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Materials Science(all)

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