Published in

SAGE Publications, Journal of Intelligent Material Systems and Structures, 6(17), p. 469-481

DOI: 10.1177/1045389x06058793

Links

Tools

Export citation

Search in Google Scholar

Structural Health Monitoring using ARMarkov Observers

Journal article published in 2006 by Prasad Dharap, Bong-Hwan Koh, Satish Nagarajaiah ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

A new method based on a bank of ARMarkov observers is proposed in this study for determination of the extent of damage. The objective of this article is to present a new formulation using a predesigned set of ARMarkov observers to determine the extent of damage and track further changes in the stiffness of the damaged member. The primary advantages of the proposed formulation over the existing methods are: (1) ARMarkov observers are designed based on interaction matrix formulation so that knowledge about exact initial conditions is not necessary, and (2) noise statistics are not required a priori to design a bank of ARMarkov observers when compared to a bank of Kalman filters. The simulation results of several examples including a planar truss structure with progressive damage in a member are presented to highlight the capability of the proposed method. The proposed method works well in the case of either a full set or a limited number of available measurements. It is shown that sensitivity enhancing control (SEC) can be easily incorporated into the proposed method to enhance the sensitivity of structural damage. In case of noisy output measurements, it is shown that it is possible to distinguish between the errors due to structural damage and due to noise in output measurements.