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Explainable ML for fatigue crack tip detection - Implementation
CrackMNIST - A Large-Scale Dataset for Crack Tip Detection in Digital Image Correlation Data
Implementation of the ExcitationSolve optimization algorithm for variational ansätze consisting of excitation operators.
Crack propagation finite element model for obtaining fracture surface pressure distributions
Pipeline for multi-objective alloy optimization using Factorization Machines (FM) combined with a QUBO (Quadratic Unconstrained Binary Optimization) model solver (FM+QO).
Implementation of the ExcitationSolve optimization algorithm for variational ansätze consisting of excitation operators.
CrackMNIST - A Large-Scale Dataset for Crack Tip Detection in Digital Image Correlation Data
The data exporter is a third-party Python package that enables the export of 3D digital image correlation (DIC) data from a Zeiss GOM Inspect/ARAMIS Professional project in a neutral and human-readable ASCII data format
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
This repository provides a collection of examples demonstrating the use of ANSYSs proprietary Crack Growth Algorithm SMART (Separating, Morphing, and Adaptive Remeshing Technology) for 3D Finite Element Method (FEM) simulations.
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