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Numerical modelling assembly

P.A. Cundall, O.D. Strack, A discrete numerical model for granular assemblies, Geotechnique 29 (1979) 47-65. [Pg.191]

Sorption to iron-oxyhydroxide can be computed with the surface complexation model of Dzombak and Morel (1990). This model assembles the results of numerous laboratory experiments on sorption of trace elements to ferrihydrite (Hfo, hydrous ferric oxide, EeOOH). Eerrihydrite is a more or less amorphous substance which is found in nature in seepage zones of reduced, iron containing groundwater. Probably, it will be representative for the iron-oxyhydroxide which forms during in situ iron removal in aquifers, but this has not been verified yet. [Pg.386]

The next three layers in the numerical model are associated with the electrolyte/electrode assembly, as shown in the right half of Figure 7. The FLUENT SOFC module treats the electrolyte as a 2-D planar element. Therefore the electrolyte in the model has geometrical thickness of zero. On either side of the electrolyte are the electrodes which are created with 3-D elements. Therefore, the electrolyte/electrode assembly in the model is only as thick as the two electrodes. Around the outer periphery of the electrolyte/electrode assembly, we have include an insulator with the properties of YSZ. The insulator prevents an electrical short circuit between the top and bottom edge rails. No ionic transport occurs through this insulator. [Pg.304]

A three-dimensional numerical model was assembled to perform the analyses. A variably sized grid in the xz-plane, commonly referred to as an... [Pg.175]

In this chapter, we discuss more deeply two aspects of a numerical model for direct methanol fuel cells published in [1]. This model describes in detail the processes in the membrane electrode assembly (MEA) of a direct methanol fuel cell (DMFC). We assume that the MEA consists of the following parts ... [Pg.297]

Numerous models also exist for the contribution of hydrodynamic or frictional drag in straight cylindrical pores. These are well reviewed in Ref. 2. If a solute adsorbs onto the pore surface and spends some portion of its time immobile, its net rate of transport will be reduced. Additionally, in some cases adsorption of the solute can significantly diminish the size of the pore and may even block the pore, preventing passage of another solute [49]. However, less is known about how to model the hydrodynamic drag in the convex, multiply connected pores provided by colloidal assemblies. [Pg.304]

Charles Forest, A Numerical Model Study of Burning and Detonation in Small PETN-Loaded Assemblies , Los Alamos National Laboratory report LA-8790 (1981). [Pg.246]

Polymers demonstrate viscoelastic properties in different states, and therefore on certain occasions it may be necessary for the numerical model to involve elastic energy during phase separation. In this example, the numerical simulation is carried out with and without this part of free energy. The elastic energy of the domain can be added to the total free energy in the model. In summary, both 2D and 3D numerical models are introduced to investigate template-directed polymer self-assembly with a binary polymer blend. [Pg.467]

Subsequently, a numerical model was introduced to simulate self-assembly by the phase separation of polymer blends on a heterogeneously functionalized substrate patterns. From thermodynamic principles, when polymer blends are quenched into the spinodal region in the phase diagram, phase separation can be initiated from small composition fluctuations in the blend. The Cahn-Hilliard equation is used to describe the energy profile in the domain with varying... [Pg.515]

A numerical model for simulation of the global heat transfer and the melt flow in the Czochralski growth of large silicon crystals is presented. The key model features are an extended 3D domain for the 2D/3D computations and a hybrid LES/RANS approach to turbulence modeling. It is shown that use of parallel computations on affordable multiprocessor systems assembled from the COTS hardware could reduce the turn-around time of simulation by an order of magnitude. The model validation using the experimental data on the growth of 100-mm and 300-mm silicon crystals in the industrial pullers Ekz-1300 and Ekz-2405 has proved its predictive power. [Pg.191]

Seismic Anaiysis of Steel-Concrete Composite Buildings Numerical Modeling, Fig. 1 Assembled macromodel... [Pg.2648]

With the rapid increase in numerical computing power, there have been attempts to formalize the different environmental contributions in order to provide a procedure to predict assembly durability (Crocombe 1997 Loh et al. 2002 Bordes et al. 2009). PigMre4S.IS shows a simple scheme. This is based on an initial identification of diffusion coefficients and mechanical parameters. The relationships between water content and properties such as tensile modulus, tensile strength, and interfacial fracture energy are then established. A coupled numerical model for the joint of interest is then constructed. This allows local water content to be defined and resulting changes in adhesive and interface properties to be predicted. At present, there are... [Pg.1257]

CundaU PA, Strack ODL A discrete numerical model for granitlar assemblies, Ge otechnique 29 47-65, 1979. [Pg.188]


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See also in sourсe #XX -- [ Pg.457 ]




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