QQ客服 官方微博 反馈留言

	A Technique Based on Kalman Filter and Least Square Estimation for Time Domain Structural Damage Detection
	Lei, Ying ; Mao, Yike ; Lei Y(雷鹰)
	2011
关键词	IDENTIFICATION
英文摘要	Conference Name:International Conference on Structures and Building Materials. Conference Address: Guangzhou, PEOPLES R CHINA. Time:JAN 07-09, 2011.; In this paper, a time domain structural damage detection approach based on Kalman filter and least;quare estimation is proposed for structures under limited input and output measurements. First of all, the dynamic parameters of the structure, such as stiffness and damping coefficients are identified by sequentially utilizing the extended Kalman estimator and the least squares estimation. Secondly, after the structural dynamic parameters are gained, the normal Kalman filter and least square estimation is used to identify the state vector and unknown input of the structure, and the changes of the structure such as reducing of the stiffness are regarded as 'additional unknown input'. Then the changed parameters can be calculated by analyses the connection between 'additional unknown input' and changing parameters, Local structural damage in the structure can also be detected by tracking the changes in the identified values of structural dynamic parameters in time domain at element level, e.g., the degrading of stiffness parameters. Numerical example of detecting structural local damages in a four story share building illustrates the efficiency of the proposed approach.
语种	英语
出处	http://dx.doi.org/10.4028/www.scientific.net/AMR.163-167.2683
出版者	ADV MATER RES-SWITZ
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85487]
专题	建筑土木－会议论文
推荐引用方式 GB/T 7714	Lei, Ying,Mao, Yike,Lei Y. A Technique Based on Kalman Filter and Least Square Estimation for Time Domain Structural Damage Detection. 2011-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。