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Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar

Tutkimustuotosvertaisarvioitu

Standard

Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar. / Moilanen, C. S.; Saarenrinne, P.; Engberg, B. A.; Björkqvist, T.

julkaisussa: Measurement Science and Technology, Vuosikerta 26, Nro 8, 085206, 2015.

Tutkimustuotosvertaisarvioitu

Harvard

Moilanen, CS, Saarenrinne, P, Engberg, BA & Björkqvist, T 2015, 'Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar', Measurement Science and Technology, Vuosikerta. 26, Nro 8, 085206. https://doi.org/10.1088/0957-0233/26/8/085206

APA

Moilanen, C. S., Saarenrinne, P., Engberg, B. A., & Björkqvist, T. (2015). Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar. Measurement Science and Technology, 26(8), [085206]. https://doi.org/10.1088/0957-0233/26/8/085206

Vancouver

Moilanen CS, Saarenrinne P, Engberg BA, Björkqvist T. Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar. Measurement Science and Technology. 2015;26(8). 085206. https://doi.org/10.1088/0957-0233/26/8/085206

Author

Moilanen, C. S. ; Saarenrinne, P. ; Engberg, B. A. ; Björkqvist, T. / Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar. Julkaisussa: Measurement Science and Technology. 2015 ; Vuosikerta 26, Nro 8.

Bibtex - Lataa

@article{c75544a2cb384d53a52f80427fcdc2a0,
title = "Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar",
abstract = "The properties of wood must be considered when designing mechanical pulping machinery. The composition of wood within the annual ring is important. This paper proposes a novel image-based method to measure stress and planar strain distribution in soft, heterogeneous materials. The main advantage of this method in comparison to traditional methods that are based on strain gauges is that it captures local strain gradients and not only average strains. Wood samples were subjected to compression at strain rates of 1000-2500 s-1 in an encapsulated split-Hopkinson device. High-speed photography captured images at 50 000-100 000 Hz and different magnifications to achieve spatial resolutions of 2.9 to 9.7 μm pixels-1. The image-based analysis utilized an image correlation technique with a method that was developed for particle image velocimetry. The image analysis gave local strain distribution and average stress as a function of time. Two stress approximations, using the material properties of the split-Hopkinson bars and the displacement of the transmitter bar/sample interface, are presented. Strain gauges on the bars of the split-Hopkinson device give the reference average stress and strain. The most accurate image-based stress approximation differed from the strain gauge result by 5{\%}.",
author = "Moilanen, {C. S.} and P. Saarenrinne and Engberg, {B. A.} and T. Bj{\"o}rkqvist",
note = "ORG=mei,0.8 ORG=ase,0.2",
year = "2015",
doi = "10.1088/0957-0233/26/8/085206",
language = "English",
volume = "26",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing",
number = "8",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Image-Based Stress and Strain Measurement of Wood in the Split-Hopkinson Pressure Bar

AU - Moilanen, C. S.

AU - Saarenrinne, P.

AU - Engberg, B. A.

AU - Björkqvist, T.

N1 - ORG=mei,0.8 ORG=ase,0.2

PY - 2015

Y1 - 2015

N2 - The properties of wood must be considered when designing mechanical pulping machinery. The composition of wood within the annual ring is important. This paper proposes a novel image-based method to measure stress and planar strain distribution in soft, heterogeneous materials. The main advantage of this method in comparison to traditional methods that are based on strain gauges is that it captures local strain gradients and not only average strains. Wood samples were subjected to compression at strain rates of 1000-2500 s-1 in an encapsulated split-Hopkinson device. High-speed photography captured images at 50 000-100 000 Hz and different magnifications to achieve spatial resolutions of 2.9 to 9.7 μm pixels-1. The image-based analysis utilized an image correlation technique with a method that was developed for particle image velocimetry. The image analysis gave local strain distribution and average stress as a function of time. Two stress approximations, using the material properties of the split-Hopkinson bars and the displacement of the transmitter bar/sample interface, are presented. Strain gauges on the bars of the split-Hopkinson device give the reference average stress and strain. The most accurate image-based stress approximation differed from the strain gauge result by 5%.

AB - The properties of wood must be considered when designing mechanical pulping machinery. The composition of wood within the annual ring is important. This paper proposes a novel image-based method to measure stress and planar strain distribution in soft, heterogeneous materials. The main advantage of this method in comparison to traditional methods that are based on strain gauges is that it captures local strain gradients and not only average strains. Wood samples were subjected to compression at strain rates of 1000-2500 s-1 in an encapsulated split-Hopkinson device. High-speed photography captured images at 50 000-100 000 Hz and different magnifications to achieve spatial resolutions of 2.9 to 9.7 μm pixels-1. The image-based analysis utilized an image correlation technique with a method that was developed for particle image velocimetry. The image analysis gave local strain distribution and average stress as a function of time. Two stress approximations, using the material properties of the split-Hopkinson bars and the displacement of the transmitter bar/sample interface, are presented. Strain gauges on the bars of the split-Hopkinson device give the reference average stress and strain. The most accurate image-based stress approximation differed from the strain gauge result by 5%.

U2 - 10.1088/0957-0233/26/8/085206

DO - 10.1088/0957-0233/26/8/085206

M3 - Article

VL - 26

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 8

M1 - 085206

ER -