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Modeling global systems models

With such an understanding on system complexity in mind, the DBS model is composed of two simple force balance equations, respectively, for small or large bubble classes, and one mass conservation equation as well as the stability condition serving as a variational criterion and a closure for conservative equations. For a given operating condition of the global system, six structure parameters for small and large bubble classes (their respective diameters dg, dL, volume fraction... [Pg.40]

Comparison of Detailed Microbalance Models with Global System Models ... [Pg.233]

Detailed Microbalance Models Advantage Global System Models Advantage... [Pg.233]

Prinn R., Jacoby H., Sokolov A., Wang C., Xiao X., Yang Z., Eckhaus R., Stone P., Ellerman D., Melillo J., Eitzmaurice J., Kicklighter D., Holian G., and Liu Y. (1999) Integrated global system model for climate policy assessment feedbacks and sensitivity studies. Climat. Change 41, 469-546. [Pg.1933]

In an ideal kinematic model, at P (0, 0, 0) all CSs are at the origin of the global system CSO.Therefore, all axes should be cut in space. This hypothesis is discarded due to the kinematic structure that describes the layout of the elements responsible for the movement. Therefore, it is necessary to introduce an offset between each axis which will be considered depending on the software for control of the MT. [Pg.27]

The high level global system of systems model. [Pg.1759]

An alternative description of the observed phenomena can be obtained by the dressed atom model [80]. In this approach the eigenvalues of the global system atom + field, the dressed states, are sought. The strong pump beam dresses the atom with laser photons which leads to energy levels split by the Rabi frequency. The resonances discussed in Fig. 20 then arise naturally as transitions between the (infinite) ladder of dressed states. The dressed atom model delivers a physically comprehensible description of atomic energy levels in strong fields and the reader is referred to Ref. 80 for a detailed presentation. [Pg.62]

Equally, a multitude of approaches for technical decision making during early development phases are available [52]. However, the experience has shown that the partial models mostly are existing in proprietary formats with different modelling paradigms and therefore cannot be easily assembled to a global system model. [Pg.232]

Wireless telecommunications not only includes the popular code-division multiple access (CDMA) and Global System for Mobile communications (GSM) cellular telephone technologies but a vast array of other wireless phone systems as well. These include the two-way phone systems used by businesses, such as a power company by emergency services, such as a fire department by the military, such as battlefield communications systems by public service systems, such as the marine VHF radio and by individual users, such as ham radio operators. There are many other wireless devices in use as well, including infrared devices such as television controllers, cordless mice, garage-door openers, model-car controllers, and several satellite-type devices, such as the Global Positioning Systems installed in cars. [Pg.1975]

With respect to the latter, the major risk is that of an initiating failure which propagates from one subsystem to another rendering the global system dysfunctional and unstable. The modeling of this dynamics is quite a challenging task (Buldyrev et al. 2010, Dobson 2008, Pederson et al. 2006). [Pg.197]

Assumptions for global system modelling The hazardous event is represented by the failure of the protection I C system. [Pg.2124]

A graphical representation of the condensed finite element model is shown in O Fig. 26.6 where the nodes of group b are completely vanished. In addition, the equations for the condensed stif iess matrix and load vector of substructure B are given which are required to calculate the condensed global system according to O Eq. 26.24. Looking at these two equations, the important conclusion can be drawn that the condensed model of substructure B is independent of the stiffness of substructure A. Thus, any changes in substructure A will be considered correctly and the same result as calculated from the entire structure will be obtained. [Pg.669]

A further model Hamiltonian that is tailored for the treatment of non-adiabatic systems is the vibronic coupling (VC) model of Koppel et al. [65]. This provides an analytic expression for PES coupled by non-adiabatic effects, which can be fitted to ab initio calculations using only a few data points. As a result, it is a useful tool in the description of photochemical systems. It is also very useful in the development of dynamics methods, as it provides realistic global surfaces that can be used both for exact quantum wavepacket dynamics and more approximate methods. [Pg.255]

In this section, the adiabatic picture will be extended to include the non-adiabatic terais that couple the states. After this has been done, a diabatic picture will be developed that enables the basic topology of the coupled surfaces to be investigated. Of particular interest are the intersection regions, which may form what are called conical intersections. These are a multimode phenomena, that is, they do not occur in ID systems, and the name comes from their shape— in a special 2D space it has the fomi of a double cone. Finally, a model Flamiltonian will be introduced that can describe the coupled surfaces. This enables a global description of the surfaces, and gives both insight and predictive power to the fomration of conical intersections. More detailed review on conical intersections and their properties can be found in [1,14,65,176-178]. [Pg.277]

As a consequence of this observation, the essential dynamics of the molecular process could as well be modelled by probabilities describing mean durations of stay within different conformations of the system. This idea is not new, cf. [10]. Even the phrase essential dynamics has already been coined in [2] it has been chosen for the reformulation of molecular motion in terms of its almost invariant degrees of freedom. But unlike the former approaches, which aim in the same direction, we herein advocate a different line of method we suggest to directly attack the computation of the conformations and their stability time spans, which means some global approach clearly differing from any kind of statistical analysis based on long term trajectories. [Pg.102]


See other pages where Modeling global systems models is mentioned: [Pg.51]    [Pg.14]    [Pg.2]    [Pg.178]    [Pg.372]    [Pg.449]    [Pg.52]    [Pg.89]    [Pg.232]    [Pg.232]    [Pg.1002]    [Pg.89]    [Pg.585]    [Pg.130]    [Pg.260]    [Pg.672]    [Pg.429]    [Pg.48]    [Pg.154]    [Pg.243]    [Pg.229]    [Pg.99]    [Pg.1108]    [Pg.298]    [Pg.339]    [Pg.267]    [Pg.278]    [Pg.350]    [Pg.271]   
See also in sourсe #XX -- [ Pg.232 ]

See also in sourсe #XX -- [ Pg.232 ]




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