Seismic dynamic response prediction for a wind turbine tower based on particle filter algorithm

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (15) : 161-168.

XU Yazhou, REN Qianqian, YU Mingyang, SHI Wenhao

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Abstract

The deviations and uncertainties during the process of establishing the finite element model (FEM) will lead to significant differences between the experimental results and the corresponding calculation results of FEM analysis. Therefore, quantifying the uncertainty is very important for the prediction of the structural response. The uncertainty of finite element results was quantified based on the particle filter method, and a probabilistic Bayesian estimation framework was proposed to use in structural dynamic response prediction. The rationality and effectiveness of this framework could be verified by the dynamic response observation results of wind turbine structure through the shaking table test. The results show that, the deviation of the FEM calculation results increases significantly with the increase of seismic wave input amplitude, and the uncertainty of numerical calculation results can be significantly reduced after considering the correction of experimental observation values. The prediction of structural dynamic response based on the particle filter have good accuracy, and the predicted values are in good agreement with the experimental data. The combination of particle filter method and shaking table test can effectively predict the dynamic response of structure, which has certain reference value in engineering application.
Key words: Bayesian estimation; particle filter method; dynamic response prediction; wind turbine tower; shaking table test

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Bayesian estimation / particle filter method / dynamic response prediction / wind turbine tower / shaking table test

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XU Yazhou, REN Qianqian, YU Mingyang, SHI Wenhao. Seismic dynamic response prediction for a wind turbine tower based on particle filter algorithm[J]. Journal of Vibration and Shock, 2022, 41(15): 161-168

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