The University of Southampton
University of Southampton Institutional Repository

Structural damage detection using cross correlation functions of vibration response

Wang, Le, Yang, Zhichun and Waters, T.P. (2010) Structural damage detection using cross correlation functions of vibration response Journal of Sound and Vibration, 329, (24), pp. 5070-5086. (doi:10.1016/j.jsv.2010.06.020).

Record type: Article

Abstract

Structural damage detection methods based on vibration responses are appealing for a variety of reasons such as their potential to observe damage from sensors placed remote from an unknown damage site. Of particular interest to the authors is online damage detection in which changes in the structure can be flagged up in an automated fashion by permanently installed transducers. In a previous paper by the authors, the inner product vector (IPV) was proposed as a damage detection algorithm which uses cross correlation functions between response measurements. Implicitly assumed in the formulation is that the response quantity is that of displacement resulting from white noise excitation. In this paper, the IPV technique is first reviewed and then generalised to address velocity and acceleration response to band pass white noise excitation. It is shown that the IPV is a weighted summation of the mode shapes, and the effect of some particular measurement noise on the IPV can be adaptively eliminated in the calculation of IPV. Then, the damage detection method based on changes in the IPV is proposed. Finally, damage detection experiments of shear frame structure, honeycomb sandwich composite beam and aircraft stiffened panel are presented to illustrate the feasibility and effectiveness of the proposed method

Full text not available from this repository.

More information

Published date: 22 November 2010

Identifiers

Local EPrints ID: 162281
URI: http://eprints.soton.ac.uk/id/eprint/162281
ISSN: 0022-460X
PURE UUID: d78ad7b5-9785-4987-bd4e-983f1afb4527

Catalogue record

Date deposited: 18 Aug 2010 07:41
Last modified: 18 Jul 2017 12:32

Export record

Altmetrics

Contributors

Author: Le Wang
Author: Zhichun Yang
Author: T.P. Waters

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×