ABOUT THE RESEARCH GROUP
The research carried out in the Damage and Fracture group focuses on achieving mechanistic understanding of the structure-properties relations for complex heterogeneous materials by exploiting synergistic combinations of computational, experimental and machine learning methods. A key theme is the development of efficient computational models for the prediction of the strength and fracture properties based on experimental data describing the size, shape and location of the defects/heterogeneities at the micro-scale. Applications range from additive manufactured metals to cast materials and composites.
