Damage localization using controllable inputs: an experimental study

Bilal Ali Qadri, Martin Dalgaard Ulriksen, Lasse Klockmann, Palle Høgh Veis

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstract

The recently proposed Shaped Damage Locating Input Distribution (SDLID) method
locates structural damage by active interrogation with controllable inputs. The methodological
premise is to shape these inputs such that certain steady-state vibration features
(depending on the type of damage to be located) are rendered dormant in one subdomain
at a time. As such, damage is localized when the vibration response induced by the shaped
inputs in the damaged state corresponds to that stored for the reference state. Previously,
the SDLID method, which operates free of system identification, has been tested through
numerical simulations and, in this context, demonstrated its merits; namely, a low demand
on output sensors, robustness towards noise, and conceptual simplicity. This paper
presents an experimental application study, in which the SDLID method is used to locate
different mass perturbations in a frame structure investigated using two actuators delivering
harmonic excitation. Based on steady-state acceleration measurements, it is shown
how the method succeeds in locating all the added mass perturbations.
OriginalsprogEngelsk
TitelSMART 2019 : 9th ECCOMAS Thematic Conference on Smart Structures and Materials
UdgivelsesstedParis, France
ForlagInternational Center for Numerical Methods in Engineering
Publikationsdato2019
Sider1507-1514
ISBN (Elektronisk)978-84-949194-6-6
StatusUdgivet - 2019
Begivenhed9th ECCOMAS Thematic Conference on Smart Structures and Materials - Arts et Métiers - Ensam (Paris Campus), paris, Frankrig
Varighed: 8 jul. 201911 jul. 2019
Konferencens nummer: 9
http://congress.cimne.com/smart2019/frontal/default.asp

Konference

Konference9th ECCOMAS Thematic Conference on Smart Structures and Materials
Nummer9
LokationArts et Métiers - Ensam (Paris Campus)
Land/OmrådeFrankrig
Byparis
Periode08/07/201911/07/2019
Internetadresse

Fingeraftryk

Dyk ned i forskningsemnerne om 'Damage localization using controllable inputs: an experimental study'. Sammen danner de et unikt fingeraftryk.

Citationsformater