基于粒子滤波算法的风力发电塔地震动力响应预测

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (15) : 161-168.

论文

徐亚洲，任倩倩，于明阳，时文浩

作者信息 +

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

XU Yazhou, REN Qianqian, YU Mingyang, SHI Wenhao

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文章历史 +

摘要

建立有限元分析模型过程中产生的误差和不确定性可导致试验和有限元分析结果之间显著的差异性，量化此类不确定性对结构动力响应预测尤为重要。基于粒子滤波算法对有限元计算结果的不确定性进行量化，提出了一个用于结构动力响应预测的概率贝叶斯估计计算框架，并通过风力发电塔振动台试验动力响应观测结果对计算方法的合理性与有效性进行验证。结果表明，随地震波输入幅值的增大，有限元计算结果的误差显著增大，考虑试验观测值修正之后可以显著减小此类不确定性的影响；粒子滤波算法用于结构动力响应预测精度较好，预测值与试验实测值具有很好的一致性；将粒子滤波算法与振动台试验相结合能够对结构动力响应进行有效预测，具有一定的工程应用参考价值。
关键词：贝叶斯估计；粒子滤波算法；动力响应预测；风力发电塔；振动台试验

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

导出引用

徐亚洲，任倩倩，于明阳，时文浩. 基于粒子滤波算法的风力发电塔地震动力响应预测[J]. 振动与冲击, 2022, 41(15): 161-168

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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