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Different models relative

Proposed flux models for porous media invariably contain adjustable parameters whose values must be determined from suitably designed flow or diffusion measurements, and further measurements may be made to test the relative success of different models. This may involve extensive programs of experimentation, and the planning and interpretation of such work forms the topic of Chapter 10, However, there is in addition a relatively small number of experiments of historic importance which establish certain general features of flow and diffusion in porous media. These provide criteria which must be satisfied by any proposed flux model and are therefore of central importance in Che subject. They may be grouped into three classes. [Pg.50]

They then compared measured and predicted fluxes for diffusion experiments in the mixture He-N. The tests covered a range of pressures and a variety of compositions at the pellet faces but, like the model itself, they were confined to binary mixtures and isobaric conditions. Feng and Stewart [49] compared their models with isobaric flux measurements in binary mixtures and with some non-isobaric measurements in mixtures of helium and nitrogen, using data from a variety of sources. Unfortunately the information on experimental conditions provided in their paper is very sparse, so it is difficult to assess how broadly based are the conclusions they reached about the relative merits oi their different models. [Pg.101]

Comparison of Models Only scattered and inconclusive results have been obtained by calculation of the relative performances of the different models as converiers. Both the RTD and the dispersion coefficient require tracer tests for their accurate determination, so neither method can be said to be easier to apply The exception is when one of the cited correlations of Peclet numbers in terms of other groups can be used, although they are rough. The tanks-in-series model, however, provides a mechanism that is readily visualized and is therefore popular. [Pg.2089]

Each cell in the chart defines a model chemistry. The columns correspond to differcni theoretical methods and the rows to different basis sets. The level of correlation increases as you move to the right across any row, with the Hartree-Fock method jI the extreme left (including no correlation), and the Full Configuration Interaction method at the right (which fuUy accounts for electron correlation). In general, computational cost and accuracy increase as you move to the right as well. The relative costs of different model chemistries for various job types is discussed in... [Pg.94]

We are now in a position to examine the relative accuracies of a variety of different model chemistries by considering their performance on the G2 molecule set. The following table lists the mean absolute deviation from experiment, the standard deviation and the largest positive and negative deviations from experiment for each model chemistry. The table is divided into two parts the first section lists results for single model chemistries, and the remaining sections present results derived from... [Pg.146]

However, different models have different expressions of qp, or Qp(D), and hence different relative flow rates Q. Here four well known models are summarized as below. [Pg.98]

The TLM has been developed using studies based on solutions of relatively low concentrations of dissolved compounds. The very saline and briny conditions found in the deep-well environment may require an entirely different model. [Pg.832]

Only scattered and inconclusive results have been obtained on the relative performances of the different models as converters. In problems P5.08.13 and 22, dispersion gives higher conversion than segregation in problems P5.08.17 and 21 they are about the same in problem P5.08.20, dispersion falls in between segregation and maximum mixedness. [Pg.513]

Concerning the path of the DNA around the histone core, a few models have been suggested. Theoretical calculations have shown that the DNA can bend smoothly around the histone core (Levitt, 1978 Sussman and Trifonov, 1978). However, a small change in the number of base pairs per turn relative to that in solution was proposed (Levitt, 1978). A different model was suggested in which the DNA kinks at every tenth or twentieth base pair (Crick and Klug, 1975 Sobell et al, 1976). [Pg.5]

Model uncertainty can be represented by formulating 2 or more different models to represent alternative hypotheses or viewpoints and then combining the model outputs by assigning weights representing their relative probability or credibility, using either Bayesian and non-Bayesian approaches. [Pg.25]

Model weighting different models are combined by assigning weights representing their relative probability, using either Bayesian and non-Bayesian approaches. [Pg.169]

This chapter assesses the performance of quantum chemical models with regard to the calculation of both absolute and relative activation energies. It also attempts to judge the ability of different models to properly describe the geometries of transition states using structures calculated from high-level models as a standard. [Pg.293]

Relationships of radiogenic tumors to natural incidence The d n-dence of the minimal latent period upon age-at-exposure, and thus upon age at risk of cancer, and the apparent invariance of relative risk by sex for thyroid cancer and leukemia, contrast sharply with the marked differences in relative risk estimates for breast cancer between Japanese A-bomb survivors and North American women exposed to diagnostic or therapeutic x rays. The relationship of radiogenic cancer to naturally occurring cancer needs to be better understood if reliable projections of risk beyond the period of actual observations are to be made. The BEIR III Committee (NAS/NRC, 1980) was obliged to make its lifetime projections on the basis of both absolute and relative risk models. [Pg.67]

L.133 Using two sets of backbone RDC data, collected in bacteriophage Pfl and bicelle media, they obtained order tensor parameters using a set of crystallographic coordinates for the structural model. This allowed the refinement of C -C bond orientations, which then provided the basis for their quantitative interpretation of C -H RDCs for 38 out of a possible 49 residues in the context of three different models. The three models were (A) a static xi rotameric state (B) gaussian fluctuations about a mean xi torsion and (C) the population of multiple rotameric states. They found that nearly 75% of xi torsions examined could be adequately accounted for by a static model. By contrast, the data for 11 residues were much better fit when jumps between rotamers were permitted (model C). The authors note that relatively small harmonic fluctuations (model B) about the mean rotameric state produces only small effects on measured RDCs. This is supported by their observation that, except for one case, the static model reproduced the data as well as the gaussian fluctuation model. [Pg.144]

Tortusity factors have been calculated based on different models adopted by different theories. The ribbon and disk-like shapes of nanoclay have been considered in this study. Maji et al. [201] and Sun et al. [202] tabulated most of theories for permeability model equations. The brief descriptions of the theories are tabulated in Table 8. Figure 32 shows the experimental value of relative... [Pg.55]

The real power in the multi-coefficient models, however, derives from the potential for the coefficients to make up for more severe approximations in the quantities used for (/) in Eq. (7.62). At present, Truhlar and co-workers have codified some 20 different multicoefficient models, some of which they term minimal , meaning that relatively few terms enter into analogs of Eq. (7.62), and in particular the optimized coefficients absorb the spin-orbit and core-correlation terms, so they are not separately estimated. Different models can thus be chosen for an individual problem based on error tolerance, resource constraints, need to optimize TS geometries at levels beyond MP2, etc. Moreover, for some of the minimal models, analytic derivatives are available on a term-by-term basis, meaning that analytic derivatives for the composite energy can be computed simply as the sum over tenns. [Pg.243]

One of the major problems in studying polymers quantitatively is the absence of model compounds for the purpose of calibration. A method of obtaining spectra of the components of a mixture spectra is based on obtaining the ratio of absorbances. This method was first used by Hirschfeld 851 for mixtures of components differing in relative concentration. This approach was later generalized but is limited to a rather... [Pg.101]

The above expression is very general and includes both the case of stagnant waters (u = 0, e.g., Eq. 20-24) as well as situations in which the water flow-induced turbulence dominates the exchange velocity relative to the influence of the wind. Obviously, as wind speed changes, for a given river the situation may switch between current-dominated and wind-dominated regimes. Another factor which influences the shape of the empirical function / of Eq. 20-31 is the typical size of the turbulent structures (the eddies) relative to the water depth. This leads to two different models, the small-eddy and the large-eddy model, respectively (Fig. 20.8 and Box 20.3). [Pg.922]

In the same way, Larachi et al. [48] evaluated with an important trickle-flow-regime database (4,000 experiments) different phenomenological models for liquid holdup and two-phase pressure drop in TBR. Table 5.2-5 summarizes the respective scatters (mean relative error and deviation) between the experimental values of pressure drop, AP/Z, and liquid holdup, fit, and their predictions by the different models. [Pg.273]


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See also in sourсe #XX -- [ Pg.237 , Pg.238 , Pg.240 , Pg.242 , Pg.244 , Pg.245 , Pg.684 , Pg.685 , Pg.686 ]




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