Abstract:In order to obtain an accurate and reliable structural finite element model and provide a baseline reference for health monitoring and condition reanalysis during the operation of the structure, a finite element model updating approach based on response surface method (RSM) and sparrow search algorithm (SSA) is proposed. Firstly, based on the response surface method, the Latin hypercube design method is used to obtain the sample points, replace the complex mapping between the characteristic quantities and parameters with a simple low-order mathematical model, construct the analytical expressions for the macroscopic response of the structure and each parameter, perform the base function significance test based on stepwise regression analysis, use variance theory to check the accuracy of the model to obtain the optimal response surface model, and construct the joint structural dynamic response residuals and the objective function. Secondly, based on the sparrow search algorithm, the objective function is optimized and solved to obtain the optimal solution for each parameter, which is brought into the initial finite element model to realize the updating of the initial finite element model. Finally, the RSM-SSA finite element model updating method is used to update the numerical model of a high-dimensional cantilever beam, to verify the reliability and feasibility of the proposed method, and to compare it with the results of the finite element model updating based on other emerging group intelligence optimization algorithms. The result shows that the mean parameter and frequency errors are 6.549% and 0.279%, respectively, and the updating efficiency and accuracy are significantly improved compared with other algorithms, and the corrected finite element model has higher accuracy and can truly reflect the actual mechanical behavior of the structure. This method provides a new idea for structural finite element model updating.