Abstract

Corrosion is a critical issue for engineered metallic components in mechanical and aerospace industries. Due to the complexity of aerospace aluminum alloy structure, corrosion is particularly tend to occur and expand in stress concentration areas, such as the edge of a hole, which causes the overall structure to be more likely to fail. In this paper, a Lamb wave-based active sensing method with improved sensors network was used to detect the hole-edge corrosion expansion. A0 wave packet of Lamb wave is extracted from signals, and two damage factors are used as characteristics of the signals. Probabilistic imaging algorithm is used to imaging and quantify the hole-edge corrosion area. Five corrosion extension tests show that the proposed method can effectively locate and quantify the hole-edge corrosion damage expansion of a single-hole structure; furthermore, the normalized amplitude damage index and phase change damage index can be used to predict hole-edge corrosion expansion effectively.

Highlights

  • Corrosion causes the loss of billions of dollars on an annual basis because of damage to structures worldwide [1]

  • The direct costs come in the form of premature deterioration or failure resulting in the need for maintenance, repair and/or replacement of damaged equipment

  • Corrosion is a representative modality of damage in metallic structures serving in humid or corrosive environments, such as aluminum alloy rivet hole [2]. When working in this environment, the rivet and aluminum alloy structure are prone to corrosion when there is moisture or fluid in the rivet and aluminum alloy structure

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Summary

Introduction

Corrosion causes the loss of billions of dollars on an annual basis because of damage to structures worldwide [1]. Corrosion is a representative modality of damage in metallic structures serving in humid or corrosive environments, such as aluminum alloy rivet hole [2]. When working in this environment, the rivet and aluminum alloy structure are prone to corrosion when there is moisture or fluid in the rivet and aluminum alloy structure. These defects are a real threat to the reliability of the structure, because they will grow rapidly and lead to catastrophic failure of the whole system [3]. 2020, 10, x FOR PEER REVIEW moreMetals sensors path, wave signals propagating along the affected path are modulated, and information aboutinformation damage can be obtained from detectedfrom signals.

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