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Full-field DIC-based model updating for localized parameter identification
ID Zaletelj, Klemen (Author), ID Slavič, Janko (Author), ID Boltežar, Miha (Author)

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Abstract
Identifying the local properties of a structure, either to perform structural health monitoringor to fine tune a numerical model, requires the updating of a large number of parameters.With a high spatial density, but a low dynamic range response information, high-speed-camerameasurements have the potential to identify a large number of localized parameters. In contrast,accelerometer measurements provide low-spatial-density modal shapes, but a high dynamicrange, and introduce the problem of mass loading. In this research, modal shapes from ahigh-speed camera are used, providing full-field response information about the observedstructure and an over-determined optimization problem. Since the high-speed camera has alower dynamic range than the accelerometer and the signal-to-noise ratio is low where thedisplacement amplitude is small, location-specific weighting methods were introduced. Thenumerical and real experiments showed that the accelerometer`s positioning is important forsuccessful updating, while with a high-speed-camera measurement this is not relevant. Thisresearch showed that due to the spatial over-determination, the model updating based on high-speed-camera data, was significantly better than the low-spatial-resolution, accelerometer-basedapproach.

Language:English
Keywords:full-field response, digital image correlation, finite-element-model updating, localized parameters
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Author Accepted Manuscript
Year:2022
Number of pages:Str. 1-14
Numbering:Vol. 164, art. 108287
PID:20.500.12556/RUL-128873 This link opens in a new window
UDC:004.932:519.61
ISSN on article:0888-3270
DOI:10.1016/j.ymssp.2021.108287 This link opens in a new window
COBISS.SI-ID:72574211 This link opens in a new window
Publication date in RUL:09.08.2021
Views:1397
Downloads:108
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ZALETELJ, Klemen, SLAVIČ, Janko and BOLTEŽAR, Miha, 2022, Full-field DIC-based model updating for localized parameter identification. Mechanical systems and signal processing [online]. 2022. Vol. 164,  108287, p. 1–14. [Accessed 3 April 2025]. DOI 10.1016/j.ymssp.2021.108287. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=128873
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Record is a part of a journal

Title:Mechanical systems and signal processing
Shortened title:Mech. syst. signal process.
Publisher:Elsevier
ISSN:0888-3270
COBISS.SI-ID:169243 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:01.02.2022

Secondary language

Language:Slovenian
Keywords:modalne oblike polnega polja, korelacija digitalnih slik, modelno posodabljanje, lokalizirani parametri

Projects

Funder:ARRS - Slovenian Research Agency
Project number:N2-0144
Name:Optična metoda za obratovalno identifikacijo reduciranega nelinearnega modela

Funder:ARRS - Slovenian Research Agency
Project number:J2-1730
Name:Polno zaznavanje prostorskih vibracij s hitro kamero z aplikacijami v digitalnih dvojčkih in oddaljenem zaznavanju

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