Using video processing for the full-field identification of backbone curves in case of large vibrations

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dc.contributor.authorCivera, Marco
dc.contributor.authorFragonara, Luca Zanotti
dc.contributor.authorSurace, Cecilia
dc.date.accessioned2019-07-04T16:35:48Z
dc.date.available2019-07-04T16:35:48Z
dc.date.issued2019-05-21
dc.description.abstractNonlinear modal analysis is a demanding yet imperative task to rigorously address real-life situations where the dynamics involved clearly exceed the limits of linear approximation. The specific case of geometric nonlinearities, where the effects induced by the second and higher-order terms in the strain–displacement relationship cannot be neglected, is of great significance for structural engineering in most of its fields of application—aerospace, civil construction, mechanical systems, and so on. However, this nonlinear behaviour is strongly affected by even small changes in stiffness or mass, e.g., by applying physically-attached sensors to the structure of interest. Indeed, the sensors placement introduces a certain amount of geometric hardening and mass variation, which becomes relevant for very flexible structures. The effects of mass loading, while highly recognised to be much larger in the nonlinear domain than in its linear counterpart, have seldom been explored experimentally. In this context, the aim of this paper is to perform a noncontact, full-field nonlinear investigation of the very light and very flexible XB-1 air wing prototype aluminum spar, applying the well-known resonance decay method. Video processing in general, and a high-speed, optical target tracking technique in particular, are proposed for this purpose; the methodology can be easily extended to any slender beam-like or plate-like element. Obtained results have been used to describe the first nonlinear normal mode of the spar in both unloaded and sensors-loaded conditions by means of their respective backbone curves. Noticeable changes were encountered between the two conditions when the structure undergoes large-amplitude flexural vibrations.en_UK
dc.identifier.citationCivera M, Zanotti Fragonara L, Surace C. Using video processing for the full-field identification of backbone curves in case of large vibrations. Sensors, Volume 19, Issue 10, Article number 2345en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s19102345
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14295
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.relation.ispartofseries;2345
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectnonlinear dynamicsen_UK
dc.subjectvideo processingen_UK
dc.subjectbackbone curveen_UK
dc.titleUsing video processing for the full-field identification of backbone curves in case of large vibrationsen_UK
dc.typeArticleen_UK

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