Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
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Article Number | 09002 | |
Number of page(s) | 8 | |
Section | New Technologies and Tools for Disaster Evaluation | |
DOI | https://doi.org/10.1051/e3sconf/202346409002 | |
Published online | 18 December 2023 |
Investigation of the accuracy of Digital Image Correlation (DIC) in measuring full-field strain for timber materials
1 Department of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi, 441-8580 Aichi, Japan
2 Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Padang, 25713 West Sumatera, Indonesia
3 Department of Forest Products, IPB University, 16680 Bogor, Indonesia
* Corresponding author: annisaprita@ft.unp.ac.id
As one of the most successful techniques in experimental mechanics, digital image correlation (DIC) has been widely used to measure the motion and deformation of solid materials, especially in situations where non-contact measurement is required. This study describes and provides a comprehensive overview of the application of DIC using the open-source platform Ncorr on orthotropic materials. Orthotropic materials are a subset of anisotropic materials; their properties depend on the direction in which they are measured. Deformation displacement and in-plane strain in two directions are extracted from digital image correlation using a reference image recorded during the experiment. Tests are carried out on Laminated Veneer Lumber timber specimens according to the ASTM standard to determine the mechanical properties of materials under compression. DIC has proven to be a reliable, consistent, and cost-effective non-contact deformation measurement method that can assist in the extraction of mechanical properties of orthotropic materials. This study also showed that DIC analysis with a natural timber grain can be used to measure the displacement and strain fields of the material.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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