On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation

39 Views
32 Downloads
Export citation: ABNT
KOC, Pino .
On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation. 
Articles in Press, [S.l.], v. 0, n.0, p. , 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: 08 may. 2024. 
doi:http://dx.doi.org/.
Koc, P.
(0).
On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation.
Articles in Press, 0(0), .
doi:http://dx.doi.org/
@article{.,
	author = {Pino  Koc},
	title = {On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
	keywords = {Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; },
	abstract = {This article compares the two most commonly used strain determination experimental techniques, strain gauges and Digital Image Correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under 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. An important research question is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the measured field compared to the 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 = {},	doi = {},
	url = {https://www.sv-jme.eu/article/on-experimental-determination-of-poissons-ratio-for-rock-like-materials-using-digital-image-correlation/}
}
Koc, P.
0 April 0. On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation. Articles in Press. [Online] 0:0
%A Koc, Pino 
%D 0
%T On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation
%B 0
%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 commonly used strain determination experimental techniques, strain gauges and Digital Image Correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under 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. An important research question is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the measured field compared to the 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 
%& 
%P 1
%J Articles in Press
%V 0
%N 0
%@ 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." Articles in Press [Online], 0.0 (0): . Web.  08 May. 2024
TY  - JOUR
AU  - Koc, Pino 
PY  - 0
TI  - On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation
JF  - Articles in Press
DO  - 
KW  - Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression; 
N2  - This article compares the two most commonly used strain determination experimental techniques, strain gauges and Digital Image Correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under 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. An important research question is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the measured field compared to the 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{{}{.},
	author = {Koc, P.},
	title = {On Experimental Determination of Poisson’s Ratio for Rock-like Materials using Digital Image Correlation},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
	doi = {},
	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  - Articles in Press; Vol 0, No 0 (0): Articles in Press
DO  - 
KW  - Poisson’s ratio, digital image correlation, strain gauge, rock-like materials, uniaxial compression, 
N2  - This article compares the two most commonly used strain determination experimental techniques, strain gauges and Digital Image Correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under 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. An important research question is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the measured field compared to the 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" Articles in Press [Online], Volume 0 Number 0 (15 April 2024)

Authors

Affiliations

  • University of Ljubljana, Faculty of Mathematics and Physics, Department of Mechanics, Slovenia 1

Paper's information

Articles in Press

This article compares the two most commonly used strain determination experimental techniques, strain gauges and Digital Image Correlation (DIC), which are used here to determine the static Poisson's ratio of rock-like materials under 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. An important research question is to what extent the measurement of Poisson’s ratio is improved by leveraging the richness of the measured field compared to the 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.

Poisson’s ratio; digital image correlation; strain gauge; rock-like materials; uniaxial compression;