دورية أكاديمية
A Post-Processing Method Based on Radial Basis Functions for the Fast Retrieval of the Strain Field in Digital Image Correlation Methods
| العنوان: | A Post-Processing Method Based on Radial Basis Functions for the Fast Retrieval of the Strain Field in Digital Image Correlation Methods |
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| المؤلفون: | Corrado Groth, Andrea Chiappa, Stefano Porziani, Marco Evangelos Biancolini, Emanuele Marotta, Pietro Salvini |
| المصدر: | Materials, Vol 15, Iss 22, p 7936 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Engineering (General). Civil engineering (General) LCC:Microscopy LCC:Descriptive and experimental mechanics |
| مصطلحات موضوعية: | RBF, FEM, large displacements, digital image correlation, strain measurement, meshless, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85 |
| الوصف: | Digital image correlation methods allow the determination of the displacement (and thus the strain) field of a target by picture comparisons, without the application of strain gauges or other invasive devices. Homologous sites are mapped from the undeformed to the deformed configuration, and displacements retrieved at a cloud of points in a scattered fashion. Radial basis functions (RBF) offer a rapid and reliable tool to post-process on-the-fly data from image correlation, in order to compute deformations directly without the need for generating a numerical grid over the measurement points. Displacements and associated strains can be computed only where desired, tracking automatically only the most reliable features for each image. In this work, a post-processing strain evaluation method for large displacement problems, based on RBF and the Green–Lagrange tensor, is presented and demonstrated for several test cases. At first, the proposed method is adopted on a set of artificially generated pictures, demonstrating a faster convergence with respect to FEM even when few points are used. Finally, the approach is applied to cases for which experimental results are available in the literature, exhibiting a good agreement. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 15227936 1996-1944 |
| Relation: | https://www.mdpi.com/1996-1944/15/22/7936; https://doaj.org/toc/1996-1944 |
| DOI: | 10.3390/ma15227936 |
| URL الوصول: | https://doaj.org/article/fc2a4ce978894d27a621bf32c54c8726 |
| رقم الأكسشن: | edsdoj.fc2a4ce978894d27a621bf32c54c8726 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15227936 19961944 |
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| DOI: | 10.3390/ma15227936 |