Materials & Processes
Computational Mechanics Group
We develop advanced mathematical models and computational techniques for the solution of complex mechanical and coupled problems.
The Computational Mechanics Group develops models and computational frameworks to describe complex mechanical processes, with the ultimate goal of enabling computational material, process and structural design and optimization. Our research deploys modern simulation methods and develops them further to meet the ever-increasing demand for accuracy and efficiency. We also value and pursue experimental validation and, whenever needed, develop new testing setups and techniques. The focus is especially on
- fracture and fatigue mechanics: we develop modeling approaches and computational techniques that enable the predictive simulation of complex damage and failure phenomena with unprecedented flexibility;
- contact and interface mechanics: we exploit cutting-edge discretization techniques to enable the robust and accurate simulation of contact and debonding problems;
- modeling and simulation of additive manufacturing processes: we develop high-fidelity approaches to computationally investigate powder-bed and extrusion-based additive manufacturing processes.
Research methods are based on multiscale and multifield modeling, high-performance computing, mechanical testing including computed tomography with in-situ testing and the related imaging techniques, and data-driven machine learning-based approaches.
Prof. De Lorenzis joined ETH in 2020 as Professor of Computational Mechanics, after 7 years as Professor and Head of Institute at the Technische Universität Braunschweig, Germany, and an extensive international research experience with collaborations in France, Germany, the USA and her home country Italy. She delivered several plenary lectures in international conferences and published more than 110 papers on international journals.