Delamination is one type of damage that frequently occurs in laminated composite structures, and identification of such damage has been a major research topic in the past few decades. This paper proposes an accurate non-model-based method for delamination identification of laminated composite plates. A weighted mode shape damage index is formulated using squared weighted difference between a measured mode shape of a composite plate with delamination and one from a polynomial that fits the measured mode shape of the composite plate with a proper order. Weighted mode shape damage indices associated with at least two measured mode shapes of the same mode are synthesized to formulate a synthetic mode shape damage index to exclude some false positive identification results due to measurement noise and error. An auxiliary mode shape damage index is proposed to further assist delamination identification, by which some false negative identification results can be excluded and edges of a delamination area can be accurately and completely identified. Numerical examples are presented to investigate effectiveness of the proposed method, and it is shown that edges of a delamination area in composite plates can be accurately and completely identified when measured mode shapes are contaminated by measurement noise and error.
- Dynamic Systems and Control Division
Non-Model-Based Delamination Detection of Composite Plates Using Measured Mode Shapes
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Xu, YF, Chen, D, & Zhu, WD. "Non-Model-Based Delamination Detection of Composite Plates Using Measured Mode Shapes." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. Tysons, Virginia, USA. October 11–13, 2017. V003T32A010. ASME. https://doi.org/10.1115/DSCC2017-5363
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