Parameter identification of a phase-field fracture model using integrated digital image correlation - Archive ouverte HAL
Journal Articles Computer Methods in Applied Mechanics and Engineering Year : 2024

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

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 opensource 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.
Fichier principal
Vignette du fichier
CMAME2024-ccsd.pdf (9.92 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04343331 , version 1 (29-12-2023)

Identifiers

Cite

Viktor Kosin, Amélie Fau, Clément Jailin, François Hild, Thomas Wick. Parameter identification of a phase-field fracture model using integrated digital image correlation. Computer Methods in Applied Mechanics and Engineering, 2024, 420, pp.116689. ⟨10.1016/j.cma.2023.116689⟩. ⟨hal-04343331⟩
147 View
135 Download

Altmetric

Share

More