Improved Gaussian RBF response surface method-based model updating for the honeycomb sandwich panel

The equivalent panel theory was employed to calculate the equivalent parameters of the honeycomb sandwich panel to constitute the benchmark FEM, and the perturbations were added to the equivalent parameters to constitute the non-updated FEM. The equivalent parameters are divided into different groups to get the corresponding modal frequencies, and the Linear-Gaussian RBF response surface model is set up, which is updated by the particle swarm optimization algorithm with mutation operator, the updated parameters is introduced into the non-updated model and the updated model is attained. By comparing the similarity of the structure parameters and the modal frequencies of the benchmark model and the non-updated as well as the updated models, the validity of the updated model is proved.