Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Crack Paths Vol. 13, No. 48 (2019)

A novel algorithm for crack path identification based on infrared images

Author and affiliation details
  • Luca Romanin Corresponding author University of Padua ROR00240q980 luca.romanin@phd.unipd.it
  • Alexei Vinogradov Norwegian University of Science and Technology, Norway
  • Filippo Berto Norwegian University of Science and Technology, Norway
  • Paolo Ferro University of Padua, Italy
DOI
10.3221/IGF-ESIS.48.14
Pages
116-124
Published
Published inVol. 13, No. 48 (2019)Go to the issue

Abstract

The present work aims at developing a new approach towards the analysis of the crack path through the access to the information from the infrared (IR) video imaging of the steady fatigue crack growth. We first test some commonly available infrared image filtering techniques, and then we introduce a new robust algorithm to identify the position of the dynamic crack.  The proposed procedure performs the local analysis of the temperature distribution around the fatigue crack tip in the 316L stainless steel. The developed MATLAB framework simplifies the routine processing and permits analyzing multiple experiments reasonably easily. Two filtering procedures - Gaussian and wavelet shrinkage - were implemented and applied successively to denoise the IR images. Both filters produce comparable and good quality results. The new algorithm capable of automatic locating the crack tip position from consecutive filtered IR images is proposed. Remarkably successful results are demonstrated with only small errors caused by materials distortion.

Keywords

Article history

  1. ReceivedUntil the next stage: 20 days
  2. Revision requestedUntil the next stage: 45 days
  3. RevisedUntil the next stage: 2 days
  4. AcceptedUntil the next stage: 27 days
  5. Published

How to cite

APA

Romanin, L., Vinogradov, A., Berto, F., & Ferro, P. (2019). A novel algorithm for crack path identification based on infrared images. Fracture and Structural Integrity, 13(48), 116–124. https://doi.org/10.3221/IGF-ESIS.48.14

IEEE

L. Romanin, A. Vinogradov, F. Berto, and P. Ferro, “A novel algorithm for crack path identification based on infrared images,” Fracture and Structural Integrity, vol. 13, no. 48, pp. 116–124, 2019, doi: 10.3221/IGF-ESIS.48.14.

MLA

Romanin, Luca, et al. “A novel algorithm for crack path identification based on infrared images.” Fracture and Structural Integrity, vol. 13, no. 48, 2019, pp. 116–124. https://doi.org/10.3221/IGF-ESIS.48.14.

Chicago

Romanin, Luca, Alexei Vinogradov, Filippo Berto, and Paolo Ferro. 2019. “A novel algorithm for crack path identification based on infrared images.” Fracture and Structural Integrity 13 (48): 116–124. https://doi.org/10.3221/IGF-ESIS.48.14.

Harvard

Romanin, L., Vinogradov, A., Berto, F. and Ferro, P. (2019) ‘A novel algorithm for crack path identification based on infrared images’, Fracture and Structural Integrity, 13(48), pp. 116–124. doi: 10.3221/IGF-ESIS.48.14.

Vancouver

Romanin L, Vinogradov A, Berto F, Ferro P. A novel algorithm for crack path identification based on infrared images. Fracture and Structural Integrity. 2019;13(48):116-124. doi:10.3221/IGF-ESIS.48.14

BibTeX

@article{romanin2019, author = {Romanin, Luca and Vinogradov, Alexei and Berto, Filippo and Ferro, Paolo}, title = {A novel algorithm for crack path identification based on infrared images}, journal = {Fracture and Structural Integrity}, year = {2019}, volume = {13}, number = {48}, pages = {116--124}, doi = {10.3221/IGF-ESIS.48.14}, url = {https://doi.org/10.3221/IGF-ESIS.48.14}, issn = {1971-8993} }

RIS

TY - JOUR AU - Romanin, Luca AU - Vinogradov, Alexei AU - Berto, Filippo AU - Ferro, Paolo TI - A novel algorithm for crack path identification based on infrared images JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2019 DA - 2019/02/26 VL - 13 IS - 48 SP - 116 EP - 124 DO - 10.3221/IGF-ESIS.48.14 UR - https://doi.org/10.3221/IGF-ESIS.48.14 SN - 1971-8993 ER -

Licence

Copyright © 2019 Luca Romanin, Alexei Vinogradov, Filippo Berto, Paolo Ferro.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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