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In-plane 2D-DIC experimental data-driven principal component analysis: Practical cases of identifying the materials' constitutive constants | ||
| Al-Qadisiyah Journal for Engineering Sciences | ||
| Articles in Press, Accepted Manuscript, Available Online from 11 August 2025 | ||
| Document Type: Research Paper | ||
| DOI: 10.30772/qjes.2025.145726.1070 | ||
| Authors | ||
| Ali Fahem* 1; Zahraa Aqeel Adel Jassim2 | ||
| 1Department of Mechanical Engineering, Collage of Engineering, University of Al-Qadisiyah, Al-Diwaniyah, Iraq | ||
| 2Department of Horticulture and Landscape Engineering, College of Agriculture, AL-Qadisiyah University, Iraq. | ||
| Abstract | ||
| The determination of the full-field (FF) of displacement and strain using the digital image correlation (DIC) method is a powerful and common technique in recent years and it is used in many mechanical experimental science labs in 2D and 3D applications. However, the measurement data is highly affected by the heat, physical noise as well as specimen preparation and testing parameters setup. In this work, the experimental setup with extensive details of 2D-DIC is presented and utilized to measure the physical properties and stress concentration of open-hole of the well-known Aluminum alloy 6061-T6 subjected to uniaxial load. The FF displacement and strain components data are used within the elastic analytical theory to estimate the 2D-DIC error and the elastic properties of the specimen. The effect of the step, subset and strain filter size are presented. In general, the 2D-DIC results with optimum parameter setup show good agreement with the classical testing method. Also, the initial error is very small, and it can take off from the experimental data at the level of small deformation. | ||
| Keywords | ||
| Experimental error; Step-by-step 2D-DIC; Elastic properties; Construction factor; Pre-load-error | ||
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