Damage detection for bridge using reconstructed moving principal component analysis with single sensor measured response
Vibration-based damage detection methods are based on the fact that any change introduced in a structure results in changes in its dynamic behavour.Thus,theoretically,occurrence of even a small damage will change the physical characteristics of a structure,which in turn will affect its vibration response and change its dynamic characteristics.This paper presents a reconstructed moving principal component analysis(RPCA),a data-driven method,using only single sensor measured response for the damage detection of bridge under a moving load.In this method,a moving window is defined firstly to cut out the response.The windowed time series is used to reconstruct a matrix,which is analyzed by the principal component analysis.Thus the windowed principal component is defined as the damage index to be used to locate the damage of the bridge.A simple supported beam subjected to a moving vehicle is employed in the numerical simulation.The results indicate that the proposed method can well identify the damage location of the beam.In order to verify this method,an experiment is also carried out.It is found that the reconstructed moving principal component analysis algorithm has a good performance in the damage localization,which improve that the reconstructed moving principal component is a good indicator in structural health monitoring.
Structural health monitoring Damage detection reconstructed principal component analysis beam bridge
Zhenhua Nie WeiChen Enguo Guo Hongwei Ma
College of Mechanics and Construction Engineering,Jinan University,Guangzhou,Guangdong,China College of Mechanics and Construction Engineering,Jinan University,Guangzhou,Guangdong,China;Donggua
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
291-295
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）