首页|Various damper forces and dynamic excitation nonparametric identification with a double Chebyshev polynomial using limited fused measurements

Various damper forces and dynamic excitation nonparametric identification with a double Chebyshev polynomial using limited fused measurements

扫码查看
? 2022 Elsevier LtdBy 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 nonparametrically with acceptable accuracy.

Data fusionDouble Chebyshev polynomial modelmulti-degree-of-freedom (MDOF) lumped mass structuresNoiseNonlinear restoring force (NRF)NonlinearityNonparametric identificationUpdated Extended Kalman Filter with unknown input (UEKF-UI)

Zhao Y.、Xu B.、Deng B.、Dyke S.J.、He J.、Ge H.

展开 >

College of Civil Engineering Huaqiao University

Department of Civil Structure & Environment Engineering University at Buffalo

School of Mechanical Engineering Purdue University

College of Civil Engineering Hunan University

Department of Civil Engineering Meijo University

展开 >

2022

Measurement

Measurement

SCI
ISSN:0263-2241
年,卷(期):2022.193
  • 5
  • 38