Parameter identification of a phase-field fracture model using integrated digital image correlation

Research output: Contribution to journalArticleResearchpeer review

Authors

  • V. Kosin
  • A. Fau
  • C. Jailin
  • F. Hild
  • T. Wick

Research Organisations

External Research Organisations

  • École normale supérieure Paris-Saclay (ENS Paris-Saclay)
  • GE Healthcare, France
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Details

Original languageEnglish
Article number116689
JournalComputer Methods in Applied Mechanics and Engineering
Volume420
Early online date19 Dec 2023
Publication statusPublished - 15 Feb 2024

Abstract

Phase-field fracture (PFF) modeling is a popular approach to model and simulate fracture processes in solids. Accurate material parameters and boundary conditions are of utmost importance to ensure a good prediction quality of numerical simulations. In this work, an Integrated Digital Image Correlation (IDIC) algorithm is proposed to calibrate boundary conditions, Poisson's ratio, fracture energy and internal length, all at once, by using the phase-field model itself and images of a deforming sample. The presented approach is applied to virtual experiments mimicking a single edge notched shear test and implemented in the open-source deal.II-based software pfm-cracks and the digital image correlation library Correli 3.2. The reliability of the results is investigated for different levels of acquisition noise, thereby demonstrating high robustness and accuracy for a wide range of noise levels. The conditioning of the problem is analyzed via sensitivity fields for all parameters and the eigendecomposition of the Hessian matrix used in the IDIC algorithm.

Keywords

    Conditioning, Digital image correlation (DIC), Phase-field fracture modeling, Sensitivity analysis

ASJC Scopus subject areas

Cite this

Parameter identification of a phase-field fracture model using integrated digital image correlation. / Kosin, V.; Fau, A.; Jailin, C. et al.
In: Computer Methods in Applied Mechanics and Engineering, Vol. 420, 116689, 15.02.2024.

Research output: Contribution to journalArticleResearchpeer review

Kosin V, Fau A, Jailin C, Hild F, Wick T. Parameter identification of a phase-field fracture model using integrated digital image correlation. Computer Methods in Applied Mechanics and Engineering. 2024 Feb 15;420:116689. Epub 2023 Dec 19. doi: 10.1016/j.cma.2023.116689
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