KOC, Pino . On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 70, n.5-6, p. 211-222, april 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2024.966.
Koc, P. (2024). On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation. Strojniški vestnik - Journal of Mechanical Engineering, 70(5-6), 211-222. doi:http://dx.doi.org/10.5545/sv-jme.2024.966
@article{sv-jmesv-jme.2024.966,
author = {Pino Koc},
title = {On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {70},
number = {5-6},
year = {2024},
keywords = {Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; },
abstract = {This article compares the two most used strain determination experimental techniques, the strain gauges and the digital image correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under a compressive loading. While the strain gauge technique measures the strains on the small patch of the underlying material on the spot, where the strain gauge is applied, DIC is a novel optical full-field technique that can measure the strains over the entire region of interest of the specimen. The key research question presented in this paper and research significance is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the full-field measurements compared to the conventional strain gauge technique. To this purpose, the hypothesis was tested through virtual experiments in which a numerical simulation of a uniaxial compression test with a cylindrical, rock-like sample was created to mimic the strain gauge and DIC measurement techniques, as well as by conducting an actual compression test on a sandstone material. In contrast to conventional strain gauges, novel optical techniques such as stereo DIC proved to be able to capture the macroscopic Poisson coefficient with higher precision, thus reducing the margin of error.},
issn = {0039-2480}, pages = {211-222}, doi = {10.5545/sv-jme.2024.966},
url = {https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/}
}
Koc, P. 2024 April 70. On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 70:5-6
%A Koc, Pino %D 2024 %T On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation %B 2024 %9 Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; %! On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation %K Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; %X This article compares the two most used strain determination experimental techniques, the strain gauges and the digital image correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under a compressive loading. While the strain gauge technique measures the strains on the small patch of the underlying material on the spot, where the strain gauge is applied, DIC is a novel optical full-field technique that can measure the strains over the entire region of interest of the specimen. The key research question presented in this paper and research significance is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the full-field measurements compared to the conventional strain gauge technique. To this purpose, the hypothesis was tested through virtual experiments in which a numerical simulation of a uniaxial compression test with a cylindrical, rock-like sample was created to mimic the strain gauge and DIC measurement techniques, as well as by conducting an actual compression test on a sandstone material. In contrast to conventional strain gauges, novel optical techniques such as stereo DIC proved to be able to capture the macroscopic Poisson coefficient with higher precision, thus reducing the margin of error. %U https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/ %0 Journal Article %R 10.5545/sv-jme.2024.966 %& 211 %P 12 %J Strojniški vestnik - Journal of Mechanical Engineering %V 70 %N 5-6 %@ 0039-2480 %8 2024-04-15 %7 2024-04-15
Koc, Pino. "On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation." Strojniški vestnik - Journal of Mechanical Engineering [Online], 70.5-6 (2024): 211-222. Web. 20 Dec. 2024
TY - JOUR AU - Koc, Pino PY - 2024 TI - On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2024.966 KW - Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; N2 - This article compares the two most used strain determination experimental techniques, the strain gauges and the digital image correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under a compressive loading. While the strain gauge technique measures the strains on the small patch of the underlying material on the spot, where the strain gauge is applied, DIC is a novel optical full-field technique that can measure the strains over the entire region of interest of the specimen. The key research question presented in this paper and research significance is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the full-field measurements compared to the conventional strain gauge technique. To this purpose, the hypothesis was tested through virtual experiments in which a numerical simulation of a uniaxial compression test with a cylindrical, rock-like sample was created to mimic the strain gauge and DIC measurement techniques, as well as by conducting an actual compression test on a sandstone material. In contrast to conventional strain gauges, novel optical techniques such as stereo DIC proved to be able to capture the macroscopic Poisson coefficient with higher precision, thus reducing the margin of error. UR - https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/
@article{{sv-jme}{sv-jme.2024.966},
author = {Koc, P.},
title = {On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {70},
number = {5-6},
year = {2024},
doi = {10.5545/sv-jme.2024.966},
url = {https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/}
}
TY - JOUR AU - Koc, Pino PY - 2024/04/15 TI - On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 70, No 5-6 (2024): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2024.966 KW - Poisson’s ratio, digital image correlation, strain gauge, rock-like materials, uniaxial compression, N2 - This article compares the two most used strain determination experimental techniques, the strain gauges and the digital image correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under a compressive loading. While the strain gauge technique measures the strains on the small patch of the underlying material on the spot, where the strain gauge is applied, DIC is a novel optical full-field technique that can measure the strains over the entire region of interest of the specimen. The key research question presented in this paper and research significance is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the full-field measurements compared to the conventional strain gauge technique. To this purpose, the hypothesis was tested through virtual experiments in which a numerical simulation of a uniaxial compression test with a cylindrical, rock-like sample was created to mimic the strain gauge and DIC measurement techniques, as well as by conducting an actual compression test on a sandstone material. In contrast to conventional strain gauges, novel optical techniques such as stereo DIC proved to be able to capture the macroscopic Poisson coefficient with higher precision, thus reducing the margin of error. UR - https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/
Koc, Pino"On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 70 Number 5-6 (15 April 2024)
Strojniški vestnik - Journal of Mechanical Engineering 70(2024)5-6, 211-222
© The Authors 2024. CC BY 4.0 Int.
This article compares the two most used strain determination experimental techniques, the strain gauges and the digital image correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under a compressive loading. While the strain gauge technique measures the strains on the small patch of the underlying material on the spot, where the strain gauge is applied, DIC is a novel optical full-field technique that can measure the strains over the entire region of interest of the specimen. The key research question presented in this paper and research significance is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the full-field measurements compared to the conventional strain gauge technique. To this purpose, the hypothesis was tested through virtual experiments in which a numerical simulation of a uniaxial compression test with a cylindrical, rock-like sample was created to mimic the strain gauge and DIC measurement techniques, as well as by conducting an actual compression test on a sandstone material. In contrast to conventional strain gauges, novel optical techniques such as stereo DIC proved to be able to capture the macroscopic Poisson coefficient with higher precision, thus reducing the margin of error.