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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 35
COMPUTATIONAL METHODS FOR ENGINEERING TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi
Chapter 11
Multiscale Models for Flow in Heterogeneous Media with Applications to Fresh Concrete B. Patzak, F. Kolarik and J. Zeman
Department of Mechanics, Faculty of Civil Engineering, Czech Technical University, Prague, Czech Republic B. Patzak, F. Kolarik, J. Zeman, "Multiscale Models for Flow in Heterogeneous Media
with Applications to Fresh Concrete", in B.H.V. Topping and P. Iványi, (Editor), "Computational Methods for Engineering Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 11, pp 291-304, 2014. doi:10.4203/csets.35.11
Keywords: fresh concrete flow, non-Newtonian fluids, homogenization.
Abstract
The understanding and modelling of flow in porous media is important in many engineering
problems, including waste disposal and groundwater management, fresh
concrete casting, or porous rock flows. When modelling fluid flow in heterogeneous
media, it is generally not possible to account for all phenomena occurring at various
length scales. Instead, a sequence of models operating at corresponding resolution
levels is created, supplemented by appropriate up and down scaling techniques to interconnect
individualmodels. In practical simulations, it is usually sufficient to predict
macroscopic properties or behavior. The chapter will present a state-of-the–art review
of availablemultiscalemethods in the area of heterogeneous media flows with application
to fresh concrete flow and particularly how the effect of traditional reinforcement
can be taken into account. First, it will be shown how the Darcy law can be derived
from the homogenization of a stationary Navier-Stokes system. Later, we provide an
overview of generalization of this result to non-Newtonian fluids, as the fresh concrete
can on the macroscale be considered as a non-Newtonian fluid. In the last part, the results
of modelling the effect of reinforcing bars in the single-fluid approach by means
of computational homogenization will be presented.
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