Development of the digital image correlation method to study deformation and fracture processes of structural materials

Pavel S. Lyubutin, Sergey V. Panin, Vladimir V. Titkov, Alexander V. Eremin, Sunder Ramasubbu

Research output: Contribution to journalArticle

Abstract

A number of problems related to the digital image correlation method from the standpoint of both the hardware and software development and testing, as well as solving problems in the field of fatigue fracture mechanics are described. Testing of the developed computer stereo vision system was carried out using a series of stereo pairs reflecting the change in the location of the object in space as well as plane and out-of-plane deformations. It is shown that the error in determining spatial coordinates does not exceed 0.75 units, while the error in computing the strain tensor components in case of a system with a single camera is two orders of magnitude larger than that at using the stereo machine vision system. An algorithm for automatic crack detection on optical images and calculating its tip coordinates was proposed and tested. It is shown that when the frame size is 2000×1000 pixels the coordinates of the crack tip might be determined with an average error of about 56 pixels, while the average error of the crack area determination does not exceed 1.93%. A modified incremental algorithm for calculating displacements on a series of stereo pairs is proposed, which allows one to estimate large magnitude displacements during serial processing of images. An algorithm for measuring the J-integral using the digital image correlation method has been developed. It is shown that the deviation of the calculated J-integral values from the model ones is on average 1.75%. A quantitative characterization of the fatigue crack growth process in metal alloys was carried out using the technique based on the digital image correlation (in terms of fracture mechanics) including the calculation of the fatigue crack growth rate da/dN, maximum strain (εmax) and effective cycle asymmetry (Reff).

Original languageEnglish
Pages (from-to)87-107
Number of pages21
JournalPNRPU Mechanics Bulletin
Volume2019
Issue number1
DOIs
Publication statusPublished - 30 Mar 2019

Fingerprint

Correlation methods
Fatigue crack propagation
Fracture mechanics
Pixels
Crack detection
Software testing
Stereo vision
Crack tips
Computer hardware
Computer vision
Tensors
Software engineering
Metals
Cameras
Fatigue of materials
Cracks
Testing
Processing

Keywords

  • Crack growth
  • Digital image correlation
  • Fatigue
  • Fracture mechanics
  • Incremental method
  • J-integral
  • Stereo vision
  • Strain estimation

ASJC Scopus subject areas

  • Computational Mechanics
  • Materials Science (miscellaneous)
  • Mechanics of Materials

Cite this

Development of the digital image correlation method to study deformation and fracture processes of structural materials. / Lyubutin, Pavel S.; Panin, Sergey V.; Titkov, Vladimir V.; Eremin, Alexander V.; Ramasubbu, Sunder.

In: PNRPU Mechanics Bulletin, Vol. 2019, No. 1, 30.03.2019, p. 87-107.

Research output: Contribution to journalArticle

Lyubutin, Pavel S. ; Panin, Sergey V. ; Titkov, Vladimir V. ; Eremin, Alexander V. ; Ramasubbu, Sunder. / Development of the digital image correlation method to study deformation and fracture processes of structural materials. In: PNRPU Mechanics Bulletin. 2019 ; Vol. 2019, No. 1. pp. 87-107.
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