Using Kalman filter to estimate the pavement profile of a bridge from a passing vehicle considering their interaction

Yi He, Judy P. Yang*

*此作品的通信作者

研究成果: Article同行評審

16 引文 斯高帕斯(Scopus)

摘要

Pavement irregularity is an unknown source that affects the riding comfort and controllability of a moving vehicle. In the vehicle scanning method, the frequency-domain information of pavement irregularity is crucial to the effective extraction of the bridge’s parameters from the vehicle’s dynamic responses. To this end, the vehicle–bridge interaction (VBI) system considering pavement irregularity is first established in the state-space model. Upon constructing the measurement vector, the discrete Kalman filter with unknown input algorithm is introduced to estimate the state of the VBI system and pavement irregularity. The feasibility of the proposed method is verified by comparing the estimated results with the original assumed ones. The parametric study concerning the effects of the VBI, vehicle’s velocity, measurement noise, and damping effects on the estimated results further demonstrates the effectiveness of the proposed method.

原文English
頁(從 - 到)4347-4362
頁數16
期刊Acta Mechanica
232
發行號11
DOIs
出版狀態Published - 11月 2021

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