基于UKF模型更新的混合试验方法

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (5) : 138-143.

论文

基于UKF模型更新的混合试验方法

王涛 1，2 ，吴斌 1

作者信息 +

Model updating for hybrid testing with unscented Kalman filter

WANG Tao1,2，WU Bin1

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文章历史 +

摘要

在混合试验中，将结构划分为物理子结构和数值子结构两部分。对遭遇强震下大型结构的混合试验，很难保证数值子结构仍处于弹性阶段。为确保数值子结构模型的准确性，提出基于Unscented Kalman filter (UKF) 模型更新混合试验方法。该方法假定数值子结构与物理子结构恢复力模型相同，在混合试验进行中利用物理子结构试验观测数据，采用UKF方法在线识别物理子结构模型参数，实时更新数值子结构模型参数。通过数值模拟，应用UKF方法对单自由度结构非线性模型进行在线参数识别，验证UKF方法性能；通过对弹簧试件实际试验，验证该混合试验方法的有效性。结果表明，基于UKF模型更新混合试验方法较传统混合试验方法精度更高。

Abstract

In a hybrid simulation, the whole system is divided into physical parts and numerical parts. For hybrid simulation of large-scale structures subjected to strong earthquake, it is usually difficult to keep the numerical substructure within linear range. So the concerns are raised how the modeling of the numerical part is reliable. A model updating for hybrid testing method with the unscented Kalman filter (UKF) is presented in order to improve the accuracy of model for numerical substructures. The new testing method assumes that the numerical substructures have the similar hysteretic behavior with the physical substructures, but the parameters of the hysteretic model are updated after they are identified with the unscented Kalman filter approach based on the data from experimental parts. The performance of UKF is investigated by numerical simulation for a single freedom nonlinear system. The effectiveness of the proposed test method is verified by an actual testing. The results show the method has good accuracy compared to conventional hybrid testing.