Abstract
Model updating improves the correlation between the response of the real structure and the response of the finite-element (FE) model; however, the selection of the updating parameters (parametrization) is crucial for its success. Using full-field modal shapes, a large number of parameters can be updated, e.g., the Young’s moduli of all the finite elements; however, the structural response is not necessarily sensitive to an arbitrary parameter, making the optimization problem ill-conditioned. Additionally, the computation of the full sensitivity matrix is not feasible for relatively large FE models. Not all locations are equally important for model updating; at locations of the highest mechanical loads, more focus is required. In this research, the updating parameters are based on the curvature of the 3D full-field experimental shape, where locations with high curvature are associated with high sensitivity. The assumption is initially researched with the Euler–Bernoulli beam elements and second-order tetrahedrons. The proposed method is investigated on numerical and real experiments, where successful updating was confirmed. With the proposed parametrization and updating approach, a geometrically complex structure is parametrized and the parameters updated without significant user input, generalizing the model-updating procedure.
Keywords
FE model updating;interior point method;curvature-based parametrization;frequency-domain triangulation;
Data
Language: |
English |
Year of publishing: |
2023 |
Typology: |
1.01 - Original Scientific Article |
Organization: |
UL FS - Faculty of Mechanical Engineering |
UDC: |
535:004.9(045) |
COBISS: |
130115331
|
ISSN: |
0888-3270 |
Views: |
72 |
Downloads: |
23 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
Slovenian |
Secondary keywords: |
modelno posodabljanje;metoda notranje točke;parametrizacija ukrivljenosti;triangulacija v frekvenčni domeni; |
Type (COBISS): |
Article |
Pages: |
str. 1-15 |
Issue: |
ǂVol. ǂ187 |
Chronology: |
2023 |
DOI: |
10.1016/j.ymssp.2022.109927 |
ID: |
17147983 |