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Singularities strength

Any solution to the linearised PBE can be expressed as a linear combination of singularity fields (Eq. (4.117)). The problem is, thus, reduced to (i) properly locating the singularities (inside the particles) and to (ii) adjusting the singularity strengths q in such a way that the boundary condition (3.28) is fulfilled. That is verified at a number of control points on the surface of the primary particles. [Pg.203]

Towse, A., Potter, K.D., Wisnom, M.R. and Adams, R.D., The sensitivity of a Weibull failure criterion to singularity strength and local geometry variations. Int. J, Adhes. Adhes., 19, 71-82 (1999). [Pg.44]

Moreover, the thermal nitration of various aromatic substrates with different X-PyNO cations shows the strong rate dependence on the acceptor strength of X-PyNO and the aromatic donor strength. This identifies the influence of the HOMO-LUMO gap in the EDA complexes (see Chart 3), and thus provides electron-transfer activation as the viable mechanistic basis for the aromatic nitration. Indeed, the graphic summary in Fig. 18 for toluene nitration depicts the isomeric composition of o-, m- and p-nitrotoluene to be singularly invariant over a wide range of substrate selectivities (k/kQ based on the benzene... [Pg.282]

Matlab is a matrix oriented language that is just about perfect for most data analysis tasks. Those readers who already know Matlab will agree with that statement. Those who have not used Matlab so far, will be amazed by the ease with which rather sophisticated programs can be developed. This strength of Matlab is a weak point in Excel. While Excel does include matrix operations, they are clumsy and probably for this reason, not well known and used. An additional shortcoming of Excel is the lack of functions for Factor Analysis or the Singular Value Decomposition. Nevertheless, Excel is very powerful and allows the analysis of fairly complex data. [Pg.2]

The corresponding quantum mechanical expression of s op in Equation (4.19) is similar except for the quantity Nj, which is replaced by Nfj. However, the physical meaning of some terms are quite different coj represents the frequency corresponding to a transition between two electronic states of the atom separated by an energy Ticoj, and fj is a dimensionless quantity (called the oscillator strength and formally defined in the next chapter, in Section 5.3) related to the quantum probability for this transition, satisfying Jfj fj = l- At this point, it is important to mention that the multiple resonant frequencies coj could be related to multiple valence band to conduction band singularities (transitions), or to transitions due to optical centers. This model does not differentiate between these possible processes it only relates the multiple resonances to different resonance frequencies. [Pg.119]

We discuss some features of a model for calculation of p-strength functions, in particular some recent improvements. An essential feature of the model is that it takes the microscopic structure of the nucleus into account. The initial version of the model used Nilsson model wave functions as the starting point for determining the wave functions of the mother and daughter nuclei, and added a pairing interaction treated in the BCS approximation and a residual GT interaction treated in the RPA-approximation. We have developed a version of the code that uses Woods-Saxon wave functions as input. We have also improved the treatment of the odd-A Av=0 transitions, so that the singularities that occured in the old theory are now avoided. [Pg.164]

The desired results after sintering and annealing are 100% conversion to the ) " phase for maximum sodium ion conductivity maximum mass density to eliminate porosity, particularly large pores, in the microstructure uniform, fine grain size below 10 pm, to maximize strength and minimize sources or singularities for fracture and no loss of NaaO to control composition and eventually the sodium ion conductivity. [Pg.360]


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