Strength & Durability of Materials

Understanding and predicting material failure and resistance to its environment is crucial for creating stronger, tougher, and more durable materials.

Sustainability in engineering depends on reducing material use and increasing service life with stronger, tougher, and more durable materials.

Innovations like meta-materials, self-healing materials, and new manufacturing technologies offer great potential for tailored material properties across various applications.

Key challenges include predicting material strength, controlling degradation under environmental conditions, and designing optimal micro- and mesostructures for better performance.

"Strength & Durability" involves multidisciplinary approaches, including predictive modelling, high-performance computing, machine learning, and advanced multiscale material characterisation.

Track co-chairs:

Prof. Laura De Lorenzis, Computational Mechanics, D-MAVT
Prof. David Kammer, Solid Mechanics, D-BAUG

Track poster (see below): Download Download (JPEG, 590 KB)

Recommended courses: Course catalogue (VVZ)

Track poster Strength & Durability of Materials

Questions & Support

to the MaP Doctoral School team.