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A parametric update of the finite element model is proposed based on the radial basis function (RBF) model and snake optimization (SO) algorithm, using fewer computational resources. First, the RBF constructs a surrogate model to replace the structural finite element model. Then, the difference between the surrogate model’s results and the experimental data is used as the objective function, which is optimized using the SO algorithm to find the global optimal solutions. Finally, the algorithm's effectiveness is validated by updating the three-dimensional truss model and the GARTEUR aircraft model.

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Finite Element Model Updating Based on RBF Model and SO Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Enkang Zhao

摘要

A parametric update of the finite element model is proposed based on the radial basis function (RBF) model and snake optimization (SO) algorithm, using fewer computational resources. First, the RBF constructs a surrogate model to replace the structural finite element model. Then, the difference between the surrogate model’s results and the experimental data is used as the objective function, which is optimized using the SO algorithm to find the global optimal solutions. Finally, the algorithm's effectiveness is validated by updating the three-dimensional truss model and the GARTEUR aircraft model.