“Tie” constraint is commonly used to establish the link relation of structural finite element model (FEM) in engineering. In this paper, the constrained area is taken as the updated object, and modal test data is used to update the structural FEM. This model updating method can improve model accuracy and increase modeling efficiency. Artificial neural network (ANN) is used to describe the nonlinear relationship between the natural frequency and the constrained area of the structure. The neural network model is an inverse surrogate model (ISM), which can improve the efficiency of model updating. Training the network with FEM calculation results, and updating the FEM by test natural frequency. The results show that the error of natural frequency between the modal test and modal analysis of FEM is small, so the model has high precision.
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