Digital Image Correlation for Large Strain
| Autor: | Mathias Brieu, Pauline Lecomte-Grosbras, Jean-François Witz, Annie Morch, François Lesaffre, C. Martel |
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| Rok vydání: | 2017 |
| Předmět: |
Digital image correlation
Materials science Field (physics) Process (computing) 02 engineering and technology Filter (signal processing) 01 natural sciences Displacement (vector) 010309 optics 020303 mechanical engineering & transports 0203 mechanical engineering 0103 physical sciences Displacement field Median filter Biological system Interpolation |
| Zdroj: | International Digital Imaging Correlation Society ISBN: 9783319514383 |
| DOI: | 10.1007/978-3-319-51439-0_39 |
| Popis: | Due to their high deformability, the elastomers are widely used in various fields of applications. Their hyper-elastic behavior requires means of characterization adapted to contactless, high strain as well as heterogeneous strain field. Digital Image Correlation (DIC) have been used to characterize such material. In case of large strain it might be necessary to re-actualize the reference image to compute the displacement field on every images of the test. Different strategy to apply DIC in large strain are presented. The direct addition of the successive calculated displacement leads to inconsistent results, it is required to make a composition of the successive calculated displacements. Some artefacts due to the multiple interpolation are highlighted and may leads to filter the results. In case of high strain gradients, a method with very small element size and median filter applied directly in correlation process has been used highlighting the ability of large strain DIC in heterogeneous media. |
| Databáze: | OpenAIRE |
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