Impact Force Reconstruction in Composite Structures Using Wavelet Transform and Low-Frequency Response Components

Aircraft composite structures are vulnerable to barely visible impact damage (BVID) caused by external impacts. Timely identification of impact forces through sparse sensor networks is critical for structural maintenance and flight safety. This article proposes an impact force reconstruction method based on wavelet transform (WT) and low-frequency response components (LRCs). The impact forces at unknown locations can be identified using the limited training data. The method extracts LRCs via WT, ensuring stable system modeling by avoiding high-frequency disturbances. A similarity-based decision strategy adaptively selects sensor combinations and LRCs for interpolation, enabling effective impact force reconstruction through sparse networks. The approach is applicable to both reinforced and flat structural areas, offering a balanced solution between monitoring cost and reconstruction capability. Validation is provided through low-velocity impact experiments on composite stiffened panels.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-02-26
DOI
https://doi.org/10.1109/jsen.2025.3543362
Citations
2
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
1.73

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Impact Force Reconstruction in Composite Structures Using Wavelet Transform and Low-Frequency Response Components

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Impact Force Reconstruction in Composite Structures Using Wavelet Transform and Low-Frequency Response Components

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article en
2 citations

Abstract

Aircraft composite structures are vulnerable to barely visible impact damage (BVID) caused by external impacts. Timely identification of impact forces through sparse sensor networks is critical for structural maintenance and flight safety. This article proposes an impact force reconstruction method based on wavelet transform (WT) and low-frequency response components (LRCs). The impact forces at unknown locations can be identified using the limited training data. The method extracts LRCs via WT, ensuring stable system modeling by avoiding high-frequency disturbances. A similarity-based decision strategy adaptively selects sensor combinations and LRCs for interpolation, enabling effective impact force reconstruction through sparse networks. The approach is applicable to both reinforced and flat structural areas, offering a balanced solution between monitoring cost and reconstruction capability. Validation is provided through low-velocity impact experiments on composite stiffened panels.

IEEE Sensors JournalVol. 25(7)
Xiamen University (CN), China Academy of Launch Vehicle Technology (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 20%
Ultrasonics and Acoustic Wave Propagation
1.73
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