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发表刊物：Measurement

摘要：By introducting a double Chebyshev polynomial as a general nonparametric model for various nonlinear restorying forces (NRFs) and an updated observation equation, and with the help of an Updated Extended Kalman filter with unknown input (UEKF-UI) algorithm and a data fusion technology, a nonparametric identification approach for both NRFs at multiple locations and excitation for multi-degree-of-freedom (MDOF) lumped mass structures is presented. In order to investigate the generality of the proposed identification method, both numerical and experimental studies on different MDOF structure models equipped with a shape memory alloy (SMA) damper and/or a magnetorheological (MR) damper mimicking different types of nonlinearities that widely exist in practical engineering structures under unknown excitation are carried out. Identification results considering different initial estimation errors and measurement noise show that the NRF provided by different types of dampers at multiple locations, excitation and unmeasured dynamic responses can be identified non parametrically with acceptable accuracy.

论文类型：期刊论文

文献类型：J

卷号：193

页面范围：110940

是否译文：否

发表时间：2022-05-14

收录刊物：SCI

影响因子：5.131

第一作者：赵冶

合写作者：邓百川,Dyke, Shirley J,贺佳,葛汉彬

通讯作者：许斌