Digital image correlation
Plasticity identification and crack tip parameter calculation
Masterthesis, Bachelorthesis
Background
Digital image correlation is a modern measuring method for determining deformations and strains in material testing. These are calculated by comparing images of the undeformed and deformed state of a test specimen.
In cooperation with the Fraunhofer IPM, the MPA-IfW is working on a new type of camera system for the strain-controlled conduction of aerospace alloy fatique tests. Using the DIC method, strains can be determined so that a formed crack and its crack tip can be detected.
Based on the materials strain, certain areas around the crack tip are plasticised. The aim of this thesis is therefore to develop an algorithm in Python that can calculate crack tip parameters like the J-integral around the crack tip via strain-integration automatically for a given data set.
Task
- Literature research on fracture mechanics and DIC
- Learning DIC algorithms in Python
- Development and comparison of algorithms
- Validation of the algorithm
Objectives
- Detection of plastic zone based on strain field
- Automatic crack tip parameter calculation in and around plastic zone
- ..