5 citations · 6 across the 7 of their papers we have counts for
7 papers
Annotated digital image correlation displacement fields from fatigue crack growth experiments
David Melching, Ferdinand Dömling, Florian Paysan +3
We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlation (DIC). The dataset covers m…
Progress on Data-Driven, Multi-Objective Quantum Optimization
Thomas Plehn, Daniel Barragan-Yani, Eric Breitbarth +2
Here, we present two complementary approaches that advance quadratic unconstrained binary optimization (QUBO) toward practical use in data-driven materials design and other real-va…
Trustworthy AI-based crack-tip segmentation using domain-guided explanations
Jesco Talies, Eric Breitbarth, David Melching
Ensuring the trustworthiness and robustness of deep learning models remains a fundamental challenge, particularly in high-stakes scientific applications. In this study, we present…
Advanced crack tip stress analysis using interaction integrals in high-resolution digital image correlation fields
Florian Paysan, David Melching, Eric Breitbarth
The link between microscopic mechanisms and macroscopic behaviour, represented by the curve, plays an increasingly important role in relating the fatigue crack growth cu…
Plasticity-induced crack closure identification during fatigue crack growth in AA2024-T3 by using high-resolution digital image correlation
Florian Paysan, David Melching, Eric Breibarth
Fatigue crack growth in ductile materials is primarily driven by the interaction between damaging and shielding mechanisms. In the Paris regime, the predominant mechanism for retar…
A universal crack tip correction algorithm discovered by physical deep symbolic regression
David Melching, Florian Paysan, Tobias Strohmann +1
Digital image correlation is a widely used technique in the field of experimental mechanics. In fracture mechanics, determining the precise location of the crack tip is crucial. In…
Generating artificial digital image correlation data using physics-guided adversarial networks
David Melching, Erik Schultheis, Eric Breitbarth
Digital image correlation (DIC) has become a valuable tool to monitor and evaluate mechanical experiments of cracked specimen, but the automatic detection of cracks is often diffic…