Details
| Original language | English |
|---|---|
| Article number | 116689 |
| Journal | Computer Methods in Applied Mechanics and Engineering |
| Volume | 420 |
| Early online date | 19 Dec 2023 |
| Publication status | Published - 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
- Engineering(all)
- Computational Mechanics
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
- Physics and Astronomy(all)
- General Physics and Astronomy
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Computer Methods in Applied Mechanics and Engineering, Vol. 420, 116689, 15.02.2024.
Research output: Contribution to journal › Article › Research › peer review
}
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 -