An acoustic emission and digital image correlation combined representation-based pre-corrosion aluminum alloy fatigue damage evolution analysis method and system
By employing a joint characterization method combining acoustic emission and digital image correlation, the problem of real-time monitoring and stage division of fatigue damage in pre-corroded aluminum alloys was solved. This method enables multi-source joint characterization and early identification of fatigue damage in pre-corroded aluminum alloys, thereby improving the accuracy and completeness of fatigue damage analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CIVIL AVIATION UNIV OF CHINA
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient for real-time monitoring and quantitative characterization of fatigue damage in pre-corroded aluminum alloys. They lack a unified standard for stage division and make it difficult to assess the impact of pre-corrosion on fatigue damage mechanisms.
A joint characterization method combining acoustic emission and digital image correlation was adopted. By simultaneously acquiring acoustic emission signals and DIC strain field data, and combining piecewise linear regression and K-means clustering algorithms, the stage transition points of fatigue damage were identified and divided into microcrack initiation, microcrack propagation and macrocrack rapid propagation stages, and the impact of pre-corrosion on fatigue failure was evaluated.
This study achieved multi-source joint characterization of fatigue damage in pre-corroded aluminum alloys, improving the accuracy and completeness of fatigue damage analysis, enabling early identification of fatigue damage stages and assessment of the impact of pre-corrosion on fatigue.
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