The next International Conference on Computational Modelling of Concrete and Concrete Structures (EURO-C 2022) is scheduled as an on-site meeting in March 21-24, 2022, in Obergurgl, Austria.
We are optimistic that the Covid-19 pandemic will come under control in 2021, allowing us to travel and to participate personally in an on-site scientific meetings in 2022.
In autumn 2021, we will re-assess the situation of the pandemic and decide whether or not we go for the on-site conference in March 2022 in Obergurgl. If necessary, our plan B will be to postpone the conference to March 2023, because we want to keep the on-site format of the conference. Nonetheless, let us hope for the best allowing us to meet in March 2022.
EURO-C 2022 continues the series of conferences on computational methods and numerical models for the analysis of concrete and concrete structures.
Based upon the success of the first conference and its subsequent amalgamation with the Delft Concrete Mechanics Colloquia, the series of EURO-C conferences continued with venues always located in the Austrian Alps, such as in Zell am See (1990), Innsbruck (1994), Bad Gastein (1998), St. Johann im Pongau (2003), Mayrhofen in Zillertal (2006), Rohrmoos/ Schladming (2010), St. Anton am Arlberg (2014), and Bad Hofgastein (2018). EURO-C 2022 will be organised in Obergurgl, located in the Ötztal, Austria.
Keeping the spirit of this long-standing tradition, EURO-C 2022 is aiming to bring together researchers and engineers involved in computational modelling of cementitious materials and the model-based design of concrete structures to review and discuss research advancements and to assess the applicability and robustness of methods and models for the analysis and design of concrete, fibre-reinforced and prestressed concrete structures, as well as masonry structures in engineering practice. Recent developments include methods of machine learning, novel discretisation methods, probabilistic models, and consideration of micro-structural aspects in multi-scale settings. Overall computational robustness of numerical predictions and mathematical rigour have further increased, implying the need for validation and respective experimental programmes.