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.
Keywords
full-field response;digital image correlation;finite-element-model updating;localized parameters;
Data
Language: |
English |
Year of publishing: |
2022 |
Typology: |
1.01 - Original Scientific Article |
Organization: |
UL FS - Faculty of Mechanical Engineering |
UDC: |
004.932:519.61 |
COBISS: |
72574211
|
ISSN: |
0888-3270 |
Views: |
319 |
Downloads: |
20 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
Slovenian |
Secondary keywords: |
modalne oblike polnega polja;korelacija digitalnih slik;modelno posodabljanje;lokalizirani parametri; |
Type (COBISS): |
Article |
Embargo end date (OpenAIRE): |
2024-02-01 |
Pages: |
str. 1-14 |
Issue: |
ǂVol. ǂ164 |
Chronology: |
1. Feb. 2022 |
DOI: |
10.1016/j.ymssp.2021.108287 |
ID: |
13223759 |