Abstract:
Aircraft composite structures are vulnerable to barely visible damage (BVID) caused by external impacts. Timely identification of impact forces through sparse sensor netw...Show MoreMetadata
Abstract:
Aircraft composite structures are vulnerable to barely visible damage (BVID) caused by external impacts. Timely identification of impact forces through sparse sensor networks is critical for structural maintenance and flight safety. This paper 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.
Published in: IEEE Sensors Journal ( Early Access )