Reference : High-performance modeling of concrete ageing
Scientific journals : Article
Engineering, computing & technology : Civil engineering
Computational Sciences
http://hdl.handle.net/10993/39812
High-performance modeling of concrete ageing
English
Habera, Michal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Zilian, Andreas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
In press
Proceedings in Applied Mathematics and Mechanics
Wiley
90th GAMM Annual Meeting - 2019
Yes (verified by ORBilu)
International
1617-7061
Weinheim
Germany
[en] hpc ; concrete ageing ; fenics
[en] Long-term behaviour of concrete structural elements is very important for evaluation of its health and serviceability range. The phenomena that must be considered are complex and lead to coupled multiphysics formulations. Such formulations are difficult not only from physical perspective, but also from computational perspective.
In this contribution attention to computational efficiency and effective implementation is payed. Presented model for concrete ageing is based on microprestress-solidification (MPS) theory of Bazant [1], Kunzel’s model for heat and moisture transport [2] and Mazars model for damage [3]. Ageing linear viscoelastic response, which is immanent to MPS theory and concrete creep, leads to ordinary differetial equation for internal variables solved for every quadrature/nodal point. Numerical structure of the finite element discretisation is examined. Few simplifications on physical model lead to a very efficient linear algebra problem for which standard preconditioned Krylov solvers are reviewed. In parallel, weak and strong scaling tests are performed. All results are produced within open-source finite element framework FEniCS [4].
These models are usually a basis for more involved thermo-hygro-chemo-mechanical (THCM) models with migrating chemical species. It is anticipated, that presented results will help practitioners or other structural engineerers with the choice of suitable and efficient methods for long-term concrete modeling.
European Regional Development Fund (2014-2020) (Grant agreement: 2017-02-015-15)
http://hdl.handle.net/10993/39812

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