TY - JOUR

T1 - Parameter identification of a phase-field fracture model using integrated digital image correlation

AU - Kosin, V.

AU - Fau, A.

AU - Jailin, C.

AU - Hild, F.

AU - Wick, T.

N1 - Funding Information: The financial support of the French–German University through the French–German Doctoral college “Sophisticated Numerical and Testing Approaches” ( CDFA-DFDK 19-04 ) is acknowledged. Discussions are acknowledged within the framework of the International Research Training Group on Computational Mechanics Techniques in High Dimensions GRK 2657 funded by the German Research Foundation (DFG) under Grant Number 433082294 .

PY - 2024/2/15

Y1 - 2024/2/15

N2 - 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.

AB - 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.

KW - Conditioning

KW - Digital image correlation (DIC)

KW - Phase-field fracture modeling

KW - Sensitivity analysis

UR - http://www.scopus.com/inward/record.url?scp=85185827195&partnerID=8YFLogxK

U2 - 10.1016/j.cma.2023.116689

DO - 10.1016/j.cma.2023.116689

M3 - Article

AN - SCOPUS:85185827195

VL - 420

JO - Computer Methods in Applied Mechanics and Engineering

JF - Computer Methods in Applied Mechanics and Engineering

SN - 0045-7825

M1 - 116689

ER -