Abstract
An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, was proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to specimen under fatigue loading to ensure observation of the area of interest. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.17% for noisy images and 11.5% when blurred images are analyzed. In terms of determining the crack tip position. the algorithm provides the accuracy of its localization with the average error value of 9.23 pixels when processing noisy images, while it makes 42.7 pixels for blurry ones.
| Original language | English |
|---|---|
| Title of host publication | Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016: Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016 |
| Subtitle of host publication | Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016 |
| Publisher | American Institute of Physics Inc. |
| Volume | 1783 |
| ISBN (Electronic) | 9780735414457 |
| DOIs | |
| Publication status | Published - 10 Nov 2016 |
| Event | International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016 - Tomsk, Russian Federation Duration: 19 Sep 2016 → 23 Sep 2016 |
Conference
| Conference | International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 19.9.16 → 23.9.16 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Algorithm of crack tracking during fatigue test through calculating the optical flow. / Panin, S. V.; Chemezov, V. O.; Lyubutin, P. S.; Titkov, V. V.
Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016: Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016: Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016. Vol. 1783 American Institute of Physics Inc., 2016. 020179.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Algorithm of crack tracking during fatigue test through calculating the optical flow
AU - Panin, S. V.
AU - Chemezov, V. O.
AU - Lyubutin, P. S.
AU - Titkov, V. V.
PY - 2016/11/10
Y1 - 2016/11/10
N2 - An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, was proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to specimen under fatigue loading to ensure observation of the area of interest. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.17% for noisy images and 11.5% when blurred images are analyzed. In terms of determining the crack tip position. the algorithm provides the accuracy of its localization with the average error value of 9.23 pixels when processing noisy images, while it makes 42.7 pixels for blurry ones.
AB - An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, was proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to specimen under fatigue loading to ensure observation of the area of interest. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.17% for noisy images and 11.5% when blurred images are analyzed. In terms of determining the crack tip position. the algorithm provides the accuracy of its localization with the average error value of 9.23 pixels when processing noisy images, while it makes 42.7 pixels for blurry ones.
UR - http://www.scopus.com/inward/record.url?scp=85006014958&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006014958&partnerID=8YFLogxK
U2 - 10.1063/1.4966473
DO - 10.1063/1.4966473
M3 - Conference contribution
AN - SCOPUS:85006014958
VL - 1783
BT - Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016: Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016
PB - American Institute of Physics Inc.
ER -