Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Interpolation models

WEIGHTED RESIDUAL FINITE ELEMENT METHODS - AN OUTLINE 2.1.1 Interpolation models... [Pg.20]

Inherent in the development of approximations by the described interpolation models is to assign polynomial variations for function expansions over finite elements. Therefore the shape functions in a given finite element correspond to a... [Pg.22]

The described direct derivation of shape functions by the formulation and solution of algebraic equations in terms of nodal coordinates and nodal degrees of freedom is tedious and becomes impractical for higher-order elements. Furthermore, the existence of a solution for these equations (i.e. existence of an inverse for the coefficients matrix in them) is only guaranteed if the elemental interpolations are based on complete polynomials. Important families of useful finite elements do not provide interpolation models that correspond to complete polynomial expansions. Therefore, in practice, indirect methods are employed to derive the shape functions associated with the elements that belong to these families. [Pg.25]

As explained in Chapter 3, it is possible to use equal order interpolation models for the spatial discretization of velocity and pressure in a U-V-P scheme based on Equations (4.127) and (4.128) without violating the BB stability condition. [Pg.134]

The existing evidence does not exclude the existence of a threshold for some (perhaps even aU) forms of cancer, but the available epidemiological and laboratory data do not favor such a possibility. Hence, the interpolation models used by national and international experts for estimating the carcinogenic risks of low-level ionizing radiation are generally based on the assumption of a non-threshold dose-incidence relationship (ICRP, 1977 UNSCEAR, 1977 NAS/NRC, 1980 NCRP, 1980 Sinclair, 1981 Rail eta/., 1985). [Pg.108]

Figure 4.14. Illustration of the interpolation principle. Full DFT calculations for oxygen chemisorption energies are compared to two simple interpolation models for a series of surface alloys. Adapted from Ref. [54]. Figure 4.14. Illustration of the interpolation principle. Full DFT calculations for oxygen chemisorption energies are compared to two simple interpolation models for a series of surface alloys. Adapted from Ref. [54].
While the interpolation model is far from perfect it gives a fast way of estimating the adsorption energies for alloys. Given the simplicity of the model it is surprising how well it works. The d band model can be used to indicate why this is the case. [Pg.276]

Because there is no general microscopic theory of liquids, the analysis of inelastic neutron scattering experiments must proceed on the basis of model calculations. Recently1 we have derived a simple interpolation model for single particle motions in simple liquids. This derivation, which was based on the correlation function formalism, depends on dispersion relation and sum rule arguments and the assumption of simple exponential decay for the damping function. According to the model, the linear response in the displacement, yft), satisfies the equation... [Pg.129]

The results given by the interpolation model have been tested by comparing with neutron scattering experiments and molecular dynamics studies on liquid argon. [Pg.131]

Fig. 1. Energy distribution of neutrons scattered by hydrogen in liquid argon at 100"K and 26.5 atm, as a function of time of flight for various scattering angles, 6. Solid curve, interpolation model. Dashed curve, Sears itinerant oscillator model. Jagged curve, Experiment. Abscissa is time of flight in usec/m and ordinate is cross section in mb sr-1 usee-1. Fig. 1. Energy distribution of neutrons scattered by hydrogen in liquid argon at 100"K and 26.5 atm, as a function of time of flight for various scattering angles, 6. Solid curve, interpolation model. Dashed curve, Sears itinerant oscillator model. Jagged curve, Experiment. Abscissa is time of flight in usec/m and ordinate is cross section in mb sr-1 usee-1.
If K (t) is assumed to have a Gaussian form, as suggested by the information theory interpolative model presented in Section II1.F. [Pg.114]

Movement to optimum by an inadequate linear model is also possible in cases when doing the mentioned eight trials is not acceptable. The values of linear regression coefficients are considerably above the values of those for interactions, the more so since linear effects are not aliased/confounded with interaction effects. Although the movement to optimum by an inadequate linear model is mathematically incorrect, it may be accepted in practice with an adequate risk. Note that when trying to optimize a process one should aspire towards both the smallest possible interaction effects and approximate or symmetrical linear coefficients. In problems of interpolation models, the situation is exactly the opposite since it insists on interaction effects, which may be significant. [Pg.320]

The first thing one must do when searching for an interpolation model is to include interactions in the model. This is possible when an unsaturated design of experiments is used. By introducing interactions there may appear a case where the degrees of freedom are insufficient for a check of lack of fit of the model, and it is therefore necessary to do two to three trials within the experimental region. All... [Pg.320]

Figure 2.39 Block diagram for obtaining interpolation model,... Figure 2.39 Block diagram for obtaining interpolation model,...
If the experimental objective is to obtain an interpolation model, an adequate linear model is the solution. In the case of an inadequate linear model, one of the following activities is undertaken indusion of interaction effects into the model, upgrading the design, transformation of variables, change of variation intervals. [Pg.323]

When processing of experimental outcomes shows an adequate regression model, the problem of mathematical modeling of response optimum is terminated, since an interpolation model of the research subject has been obtained. [Pg.366]

Stober W, McClellan RO. 1997. Pulmonary retention and clearance of inhaled biopersistent aerosol particles Data-reducing interpolation models and models of physiologically based systems. Crit Rev Toxicol 27 539-598. [Pg.332]

Figure 16 The result of applying a cubic spline interpolation model to the stream magnesium data... Figure 16 The result of applying a cubic spline interpolation model to the stream magnesium data...
ULTIMATE Universal Limiter for Transient Interpolation Modeling of Ad-vective Transport Equations... [Pg.1287]

Unified models. If experimental KIEs are available for several related reactions, it is possible to construct a unified model of the reaction to give the highest possible accuracy TS structures." A unified model differs from any other TS analysis only in that a single vibrational model and structure interpolation model is used to determine transition states for several different reactions of a given type. For example, the transition states of four hydrolytic and two adenosine 5 -diphosphate (ADP)-ribosylation reactions of oxidized nicotinamide adenine dinucleotide (NAD ) were determined using a unified model. The fact that this model worked for all these different reactions lent support to the correctness of each step in the process. [Pg.254]

Fig. 9), though the match of 1 - H was poor in both the cases (see Section 4). The differences between the structure interpolation models that included or neglected TS imbalance were small, with differences in bond length of Arcp-oT — 0.028 A, and = —0.012 A, Arci/ Hp = 0.006 A. That changes this small could be... [Pg.265]

Remember that we used a little intuition here to decide that the reaction was probably not reversible under the conditions investigated. This worked out, but it may not always be this easy. One should also note that, within the context of building interpolation models bounded by the data available, these results are for a case where a b. It is also possible to obtain a satisfactory correlation of the data with a rate equation that is pseudo-first-order in toluene... [Pg.84]


See other pages where Interpolation models is mentioned: [Pg.21]    [Pg.25]    [Pg.532]    [Pg.379]    [Pg.66]    [Pg.94]    [Pg.118]    [Pg.131]    [Pg.136]    [Pg.267]    [Pg.312]    [Pg.320]    [Pg.321]    [Pg.616]    [Pg.355]    [Pg.1036]    [Pg.278]    [Pg.323]    [Pg.331]    [Pg.332]    [Pg.628]   
See also in sourсe #XX -- [ Pg.320 ]

See also in sourсe #XX -- [ Pg.320 ]




SEARCH



Interpol

Interpolate

© 2024 chempedia.info