Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method
2016 (English)In: Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, E-ISSN 1873-2119, Vol. 441, 100-120 p., 16342Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 441, 100-120 p., 16342
Bridge, Condition monitoring, Delay Vector Variance (DVV), Instrumentation, Signal nonlinearity, System identification, Bridges, Identification (control systems), Bridge structures, Degree of non-linearity, Delay vector variances, Full-scale testing, Pseudo-dynamics, Steel railway bridge, Structural systems, Dynamic response
IdentifiersURN: urn:nbn:se:kth:diva-177739DOI: 10.1016/j.physa.2015.08.026ScopusID: 2-s2.0-84941928815OAI: oai:DiVA.org:kth-177739DiVA: diva2:875163
QC 201511302015-11-302015-11-252015-11-30Bibliographically approved