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Steel and Composite Structures Volume 42, Number 5, March10 2022 , pages 685-697 DOI: https://doi.org/10.12989/scs.2022.42.5.685 |
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Vibration-based delamination detection of composites using modal data and experience-based learning algorithm |
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Weili Luo, Hui Wang, Yadong Li, Xing Liang and Tongyi Zheng
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| Abstract | ||
| In this paper, a vibration-based method using the change ratios of modal data and the experience-based learning algorithm is presented for quantifying the position, size, and interface layer of delamination in laminated composites. Three types of objective functions are examined and compared, including the ones using frequency changes only, mode shape changes only, and their combination. A fine three-dimensional FE model with constraint equations is utilized to extract modal data. A series of numerical experiments is carried out on an eight-layer quasi-isotropic symmetric (0/-45/45/90)s composited beam for investigating the influence of the objective function, the number of modal data, the noise level, and the optimization algorithms. Numerical results confirm that the frequency-and-mode-shape-changes-based technique yields excellent results in all the three delamination variables of the composites and the addition of mode shape information greatly improves the accuracy of interface layer prediction. Moreover, the EBL outperforms the other three state-of-the-art optimization algorithms for vibration-based delamination detection of composites. A laboratory test on six CFRP beams validates the frequency-and-mode-shape-changesbased technique and confirms again its superiority for delamination detection of composites. | ||
| Key Words | ||
| delamination detection; experience-based learning algorithm; finite element modeling; laminated composite structure | ||
| Address | ||
| Weili Luo:School of Civil Engineering, Guangzhou University, Guangzhou, P.R. China Hui Wang:School of Civil Engineering, Guangzhou University, Guangzhou, P.R. China Yadong Li:School of Civil Engineering, Guangzhou University, Guangzhou, P.R. China Xing Liang:School of Civil Engineering, Guangzhou University, Guangzhou, P.R. China Tongyi Zheng:School of Civil Engineering, Guangzhou University, Guangzhou, P.R. China | ||