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Matrix continued fractions model

The first objective of this review is to describe a method of solution of the Langevin equations of motion of the itinerant oscillator model for rotation about a fixed axis in the massive cage limit, discarding the small oscillation approximation in the context of dielectric relaxation of polar molecules, this solution may be obtained using a matrix continued fraction method. The second... [Pg.132]

The complex susceptibility x( ) yielded by Eq. (9), combined with Eq. (22) when the small oscillation approximation is abandoned, may be calculated using the shift theorem for Fourier transforms combined with the matrix continued fraction solution for the fixed center of oscillation cosine potential model treated in detail in Ref. 25. Thus we shall merely outline that solution as far as it is needed here and refer the reader to Ref. 25 for the various matrix manipulations, and so on. On considering the orientational autocorrelation function of the surroundings ps(t) and expanding the double exponential, we have... [Pg.142]

In Eq. (11.1), P is permeability, < z is the volume fraction of the dispersed zeolite, the MMM subscript refers to the mixed-matrix membrane, the P subscript refers to the continuous polymer matrix and the Z subscript refers to the dispersed zeolite. The permeabiUty of the mixed-matrix membrane (Pmmm) can be estimated by this Maxwell model when the permeabilities of the pure polymer (Pp) and the pure zeoUte (Pz), as well as the volume fraction of the zeoUte (< ) are known. The selectivity of the mixed-matrix membrane for two molecules to be separated can be calculated from the Maxwell model predicted permeabiUties of the mixed-matrix membrane for both molecules. [Pg.335]

The most commonly used PCA algorithm involves sequential determination of each principal component (or each matched pair of score and loading vectors) via an iterative least squares process, followed by subtraction of that component s contribution to the data. Each sequential PC is determined such that it explains the most remaining variance in the X-data. This process continues until the number of PCs (A) equals the number of original variables (M), at which time 100% of the variance in the data is explained. However, data compression does not really occur unless the user chooses a number of PCs that is much lower than the number of original variables (A M). This necessarily involves ignoring a small fraction of the variation in the original X-data which is contained in the PCA model residual matrix E. [Pg.245]

For the study of the properties in the transverse direction, let us consider a unidirectional composite with a load applied at right angles to the fiber direction. The real composite could be replaced by the simple model shown in Figure 15.9, where the fibers are grouped together as a continuous phase. In these conditions, the thicknesses tf and are proportional to the volume fractions of the fiber and matrix, respectively. The applied load transverse to the fiber acts equally on the fiber and the matrix, so that... [Pg.674]

Inter-yarn fibre and yam volume fractions. Within the meso-scale modelling paradigm, yams are considered as continuous soUd medium with effective properties that are primarily governed by the fibre volume firaction (FVF). The correct overall FVF (o-FVF) is an obligatory feature of any acceptable model as it has to match fabric areal density, resin content and specific composite weight. The o-FVF is determined as the product of the yam volume firaction (YVF) and the local intra-yam FVF (iy-FVF). The latter depends on yam compressibility, pressure used for preform consolidation and even matrix viscosity. [Pg.27]

This view of traditional composite micromechanics, underlies the widely accepted rule-of-mixtures approach to modeling fiber reinforced composite materials. It states that the modulus of the composite is a linear combination of the moduli of the materials from which it is composed, and weights each modulus with the volume fraction of that component. Its basis lies in continuity of parallel strain between the fibers and matrix provided a linearly elastic response of the composite occurs for small strains. [Pg.592]

The Nielsen model (31) describes the elastic shear modulus G of a two-phase composite consisting of inclusions having volume fraction suspended uniformly in a continuous matrix. For the case of rubbery inclusions in a glassy matrix (here, a PS-rich matrix), the model takes the form ... [Pg.622]

Physical properties of blends consisting of a continnons matrix and one or more dispersed (discrete) components can be predicted by nsing adapted models proposed for particulate composite systems (216-220). Most of these models do not consider effects of the particle size, but only of volnme fractions of components in the system. Thus, the increase in particle size dne to particle coalescence is not presumed to perceptibly affect mechanical properties, except for fractnre resistance, which is controlled by particle size and properties of dispersed rnbbers. As polymer blends with three-dimensional continuity of two or more components are isotropic materials, simple parallel or series models or models for orthotropic or quasi-isotropic materials are not applicable. Physical properties of blends with partially co-continuous constituents can be calculated by means of a predictive... [Pg.6273]


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Continued fractions

Continuous fractionation

Continuous model

Fractionation models

Fractionator modeling

Matrix continued fractions

Matrix continuity

Matrix model

Modelling fractionation

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