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MAŠEK, J. KVĚTOŇ, J. ELIÁŠ, J.
Original Title
Adaptive discretization refinement for discrete models of coupled mechanics and mass transport in concrete
Type
journal article in Web of Science
Language
English
Original Abstract
An adaptive discretization refinement strategy for steady state discrete mesoscale models of coupled mechanics and mass transport in concrete is presented. Coupling is provided by two phenomena: the Biot’s theory of poromechanics and an effect of cracks on material permeability coefficient. The model kinematics is derived from rigid body motion of Voronoi cells obtained by tessellation of the domain. Starting with a coarse discretization, the density of Voronoi generator points is adaptively increased on the fly in regions where the maximum principal stress exceeds a chosen threshold. Purely elastic behavior is assumed in the coarse discretization, therefore no transfer of history/state variables is needed. Examples showing (i) computational time savings achieved via the adaptive technique and (ii) an agreement of the outputs from the fine and adaptive models during simulations of hydraulic fracturing and three-point bending combined with a fluid pressure loading are presented.
Keywords
Adaptive discretizationConcreteCouplingDiscrete modelMechanicsFractureMass transportSimulationHydraulic fracturing
Authors
MAŠEK, J.; KVĚTOŇ, J.; ELIÁŠ, J.
Released
30. 6. 2023
Publisher
Elsevier
ISBN
1879-0526
Periodical
CONSTRUCTION AND BUILDING MATERIALS
Number
395
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
12
Pages count
URL
https://www.sciencedirect.com/science/article/pii/S0950061823019591
BibTex
@article{BUT183944, author="Jan {Mašek} and Josef {Květoň} and Jan {Eliáš}", title="Adaptive discretization refinement for discrete models of coupled mechanics and mass transport in concrete", journal="CONSTRUCTION AND BUILDING MATERIALS", year="2023", number="395", pages="1--12", doi="10.1016/j.conbuildmat.2023.132243", issn="1879-0526", url="https://www.sciencedirect.com/science/article/pii/S0950061823019591" }