Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
Computational Modelling of Concrete and Concrete Structures contains the contributions to the EURO-C 2026 conference (March 9-12, 2026, Seefeld in Tirol, Austria).
The papers review and discuss research advancements and 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. Recent developments encompass data-driven approaches, artificial intelligence, and machine learning methods, as well as novel discretization techniques, probabilistic models, and an increasing focus on microstructural aspects in a multi-scale and multi-physics context. Additionally, there is a noticeable trend towards material-scale innovations, including the use of more eco-efficient binders, new fibres, and 3D-printable concretes, along with life-cycle-oriented models that address the aging and durability of both new and existing concrete infrastructure.
Overall computational robustness, mathematical and mechanical rigour, and the quality of predictions have further increased, accompanied by careful model validation based on respective experimental programmes. The book will serve as an important reference for both academics and professionals, stimulating new research directions in the field of computational modelling of concrete and its application to the analysis of concrete structures.
EURO-C 2026 is the ninth edition of the EURO-C conference series after Innsbruck 1994, Bad Gastein 1998, St. Johann im Pongau 2003, Mayrhofen 2006, Schladming 2010, St. Anton am Arlberg 2014, Bad Hofgastein 2018, and Vienna 2022. The overarching focus of the conferences is on computational methods and numerical models for the analysis of concrete and concrete structures.
Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
Memmos opsummeringer er guld inden eksamen. Jeg slipper for at genlæse 800 sider to uger før – kun de vigtigste dele.
AI-chatten har reddet mig aftenen før en eksamen mere end én gang. Jeg spørger, indtil jeg forstår det – og slipper for at vente på svar i en studiegruppe.
Quizzen rammer præcis det, jeg skal kunne. Memmo holder øje med, hvad jeg har svært ved – så jeg øver mig kun på det, der er det værd.
Flashcards med spaced repetition er magi. Memmo ved, når jeg er ved at glemme noget, og viser det igen.
AI-podcasts er min favorit. Jeg lytter på vej til skole og får en opsummering uden at sidde foran en computer.
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