Imperial College London
Portrait Picture

ProfessorDaniloMandic

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jaksic:2015:10.1016/j.physa.2015.08.026,
author = {Jaksic, V and Mandic, DP and Karoumi, R and Basu, B and Pakrashi, V},
doi = {10.1016/j.physa.2015.08.026},
journal = {Physica A - Statistical Mechanics and Its Applications},
pages = {100--120},
title = {Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method},
url = {http://dx.doi.org/10.1016/j.physa.2015.08.026},
volume = {441},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Jaksic,V
AU  - Mandic,DP
AU  - Karoumi,R
AU  - Basu,B
AU  - Pakrashi,V
DO  - 10.1016/j.physa.2015.08.026
EP  - 120
PY  - 2015///
SN  - 0378-4371
SP  - 100
TI  - Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method
T2  - Physica A - Statistical Mechanics and Its Applications
UR  - http://dx.doi.org/10.1016/j.physa.2015.08.026
VL  - 441
ER  -
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