Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method

Files in This Item:
File Description SizeFormat 
DVV_bridges_PHYSA-156_020615.pdf1.15 MBAdobe PDFDownload
Title: Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method
Authors: Jaksic, Vesna
Mandic, Danilo P.
Karoumi, Raid
Basu, Biswajit
Pakrashi, Vikram
Permanent link: http://hdl.handle.net/10197/10435
Date: 1-Jan-2016
Online since: 2019-05-14T10:49:49Z
Abstract: Analysis of the variability in the responses of large structural systems and quantification of their linearity or nonlinearity as a potential non-invasive means of structural system assessment from output-only condition remains a challenging problem. In this study, the Delay Vector Variance (DVV) method is used for full scale testing of both pseudo-dynamic and dynamic responses of two bridges, in order to study the degree of nonlinearity of their measured response signals. The DVV detects the presence of determinism and nonlinearity in a time series and is based upon the examination of local predictability of a signal. The pseudo-dynamic data is obtained from a concrete bridge during repair while the dynamic data is obtained from a steel railway bridge traversed by a train. We show that DVV is promising as a marker in establishing the degree to which a change in the signal nonlinearity reflects the change in the real behaviour of a structure. It is also useful in establishing the sensitivity of instruments or sensors deployed to monitor such changes.
Funding Details: Irish Research Council for Science, Engineering and Technology
Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Journal: Physica A: Statistical Mechanics and its Applications
Volume: 441
Start page: 100
End page: 120
Copyright (published version): 2015 Elsevier
Keywords: Delay Vector Variance (DVV)Signal nonlinearitySystem identificationInstrumentationCondition monitoringBridge
DOI: 10.1016/j.physa.2015.08.026
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 50

6
checked on May 14, 2019

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.