Model updating for multi-layered carbon fiber honeycomb sandwich panel

The honeycomb sandwich panel is the main load-carrying structure of modern aircraft. Linear-and-Gaussian combined kernel function support vector machine (SVM) response surface and the group-control-based improved particle swarm optimization (IPSO) algorithm are proposed in this paper through an analysis of various response surfaces, and a finite element model (FEM) of the multi-layered carbon fiber honeycomb sandwich panel is constituted in ANSYS using SHELL91. The non-updated parameters are chosen by orthogonal design and F-test, which are then employed to constitute the Linear-and-Gaussian response surface to simulate the relationship between the structure parameters and the responses, and then verify the validity of the response surface model. The group-control-based IPSO algorithm is employed to update the non-updated parameters and the updated parameters are substituted into the non-updated FEM. A comparison of the modal frequencies of the non-updated and updated FEM and the benchmark FEM proves the reappearance and prediction ability of the updated FEM.