Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method
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|Title:||Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method||Authors:||Jaksic, Vesna
Mandic, Danilo P.
|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 nonlinearity; System identification; Instrumentation; Condition monitoring; Bridge||DOI:||10.1016/j.physa.2015.08.026||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Mechanical & Materials Engineering Research Collection|
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