Delamination in composite laminates reduces the structural stiffness and thus causes changes in the vibration responses of the laminates. Therefore, it is feasible to employ dynamic characteristics (such as natural frequencies and mode shapes) for delamination detection by using an optimization method. In the present study, a two-step method is proposed for the delamination detection in composite laminates using an experience-based learning algorithm. In the first step, one-dimensional equivalent through-thickness beam elements are employed to model the composite laminated beam and potential delamination locations are identified. In the second step, a typical three-dimensional finite mesh is utilized for the beam’s modeling and the detailed delamination information (including the delamination location, size, and interface layer) is detected. This two-step method combines the advantages of the two different modeling techniques and is able to significantly reduce the computational cost without reducing detection accuracy. The proposed method is applied for an eight-layer quasi-isotropic symmetric (0/-45/45/90)_s composited beam with different delamination situations to verify its effectiveness and robustness. The performance of the two-step method is demonstrated by comparing with the one-step method and other three state-of-the-art algorithms (CMFOA, PSO, and SSA). Moreover, the influence of artificial noise on the accuracy of the detection performance is also investigated. Both numerical and experimental results confirm the superiority of the proposed method for delamination detection in composite laminates especially for the prediction of delamination interface.

复合层压板的分层会降低结构刚度，从而导致层压板振动响应的变化。因此，通过优化方法将动态特性（如固有频率和模态振型）用于分层检测是可行的。在本研究中，提出了一种使用基于经验的学习算法对复合材料层压板进行分层检测的两步法。在第一步中，使用一维等效的全厚度梁单元来模拟复合层压梁，并确定潜在的分层位置。第二步，利用典型的三维有限网格对梁进行建模，并检测详细的分层信息（包括分层位置、大小和界面层）。这种两步法结合了两种不同建模技术的优点，能够在不降低检测精度的情况下显着降低计算成本。所提出的方法应用于八层准各向同性对称 (0/-45/45/90)_s具有不同分层情况_的复合梁，以验证其有效性和鲁棒性。通过与一步法和其他三种最先进的算法（CMFOA、PSO 和 SSA）进行比较，证明了两步法的性能。此外，还研究了人工噪声对检测性能准确性的影响。数值和实验结果都证实了所提出的复合层压板分层检测方法的优越性，特别是对于分层界面的预测。