Frequency response function-based model updating of flexible vehicle body using experiment modal parameter

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Frequency response function-based model updating of flexible vehicle body using experiment modal parameter

You, Taiwen / Gong, Dao / Zhou, Jinsong / Sun, Yu / Chen, Jiangxue

Owing to the significant contribution of flexible modals in rigid-flexible multiple body system (MBS) dynamics, model updating before flex-body generation is necessary. Herein, a model-updating method based on the measured frequency response function (FRF) is proposed to modify the finite element model (FEM). To address the complexity of multiple measured responses and high cost of computation, the Kriging surrogate model with a multi-objective function considering the magnitude and shape of each measured curve is proposed. Thereafter, the surrogate model parameters are optimised to calibrate the FEM with the updated values. The model-updating results demonstrate that the simulated FRFs tend to coincide with the experimental FRFs. Moreover, the dynamic performance error of the calibrated model was validated in a rigid-flexible MBS model by comparing the calculated results of the vibration spectrum and ride comfort index with the test results. The results demonstrate that the updating procedure results in variations in the vibration response and ride comfort index, and the prediction of the updated MBS model is closer to the experimental results. The proposed method will improve the efficiency and precision of the MBS model in vehicle dynamics and other structure dynamics.