Element level structural damage detection with limited observations and with unknown inputs

Y. Lei; J. Y. Lei; Y. Song

doi:10.1117/12.720666

11 April 2007 Element level structural damage detection with limited observations and with unknown inputs

Y. Lei, J. Y. Lei, Y. Song

Proceedings Volume 6532, Health Monitoring of Structural and Biological Systems 2007; 65321X (2007) https://doi.org/10.1117/12.720666
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

In practical structural health monitoring, it is essential to develop an efficient technique which can detect structural local damage utilizing only a limited number of measured acceleration responses of structures subject to unknown (unmeasured) excitations inputs. In this paper, a finite-element based time domain system identification method is proposed for this purpose. Structure state vectors are treated as implicit functions of structural dynamic parameters and excitations. The unknown structural dynamic parameters and excitation inputs are identified by an algorithm based on recursive least squares estimation with unknown excitations (RLSE-UI). Structural damage at element level is detected by the degrading of stiffness of damaged structural elements. Numerical simulation of a 3-story building demonstrates the proposed method can identify structural element stiffness parameters with good accuracy and structural damage at element level can be located from the degrading of element stiffness parameters.

Citation Download Citation

Y. Lei, J. Y. Lei, and Y. Song "Element level structural damage detection with limited observations and with unknown inputs", Proc. SPIE 6532, Health Monitoring of Structural and Biological Systems 2007, 65321X (11 April 2007); https://doi.org/10.1117/12.720666

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available