Big Chemical Encyclopedia

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

Articles Figures Tables About

Chaos Models

As observed in Figs.3.14-4, all patterns generated by the C3-C1, C3-C2 and C2-C1 representations, remind, in one way or another, a butterfly. The latter stands for a basic phenomenon in the chaos model known as the butterfly effect, after the title of a paper by Edward N.Lorenz Can the flap of a butterfly s wing stir up a tornado in Texas An additional point may be summarized as follows, i.e., How come that relatively simple mathematical models create very complicated dynamic behaviors, on the one hand, and how Order, followed by esthetics patterns, may be created by the specific representation of the transient behavior, on the other ... [Pg.333]

A recent attempt to evaluate the relationship between Al and H activites, and the relative sizes of the Al pool in the various horizons, in a podzol profile at the Birkenes catchment, has been reported by Andersen et al (1990). They adjusted samples of four horizons to a range of pH values at a constant ionic strength, and their data are reproduced in Figure 6. For the horizons containing organic matter (0 and Bhs), the CHAOS model gives a reasonable... [Pg.96]

Figure 6. Aluminium-pH relationships of laboratory treated samples of the horizons of a podzol profile at Birkenes, in relation to the predictions of the CHAOS model (from Andersen et al, 1990). [Pg.98]

Gyorgyi L and Field R J 1992 A three-variable model of deterministic chaos in the Belousov-Zhabotinsky reaction Nature 355 808-10... [Pg.1117]

Graduate-level introduction mainly to theoretical modelling of nonlinear reactions Scott S K 1993 Chemical Chaos (Oxford Oxford University Press)... [Pg.1118]

The next problem to consider is how chaotic attractors evolve from tire steady state or oscillatory behaviour of chemical systems. There are, effectively, an infinite number of routes to chaos [25]. However, only some of tliese have been examined carefully. In tire simplest models tliey depend on a single control or bifurcation parameter. In more complicated models or in experimental systems, variations along a suitable curve in the control parameter space allow at least a partial observation of tliese well known routes. For chemical systems we describe period doubling, mixed-mode oscillations, intennittency, and tire quasi-periodic route to chaos. [Pg.3061]

We first examine how chaos arises in tire WR model using tire rate constant k 2 as tire bifurcation parameter. However, another parameter or set of parameters could be used to explore tire behaviour. (Independent variation of p parameters... [Pg.3061]

Mintzer, David, 1 Mitropolsky, Y. A361,362 Mixed groups, 727 Modality of distribution, 123 Models in operations research, 251 Modification, method of, 67 Molecular chaos, assumption of, 17 Miller wave operator, 600 Moment generating function, 269 Moment, 119 nth central, 120... [Pg.778]

The difficulties encountered in the Chao-Seader correlation can, at least in part, be overcome by the somewhat different formulation recently developed by Chueh (C2, C3). In Chueh s equations, the partial molar volumes in the liquid phase are functions of composition and temperature, as indicated in Section IV further, the unsymmetric convention is used for the normalization of activity coefficients, thereby avoiding all arbitrary extrapolations to find the properties of hypothetical states finally, a flexible two-parameter model is used for describing the effect of composition and temperature on liquid-phase activity coefficients. The flexibility of the model necessarily requires some binary data over a range of composition and temperature to obtain the desired accuracy, especially in the critical region, more binary data are required for Chueh s method than for that of Chao and Seader (Cl). Fortunately, reliable data for high-pressure equilibria are now available for a variety of binary mixtures of nonpolar fluids, mostly hydrocarbons. Chueh s method, therefore, is primarily applicable to equilibrium problems encountered in the petroleum, natural-gas, and related industries. [Pg.176]

Wu CH, Shang LL, Cheng FL, Chao YK (2001) Modeling competitive adsorption of molybdate, sulfate and selenate on y-Al203 by the triple-layer model. J Colloid Interf Sci 233 259-264... [Pg.69]

While in the previous sections we have discussed the relation between dynamical chaos and heat conductivity, in the following we will turn our attention to the possibility to control heat flow. Actually a model of thermal rectifier has been recently proposed(Terrano et al, 2002) in... [Pg.17]

Berggren, K.-F., and A.F. Sadreev. Chaos in quantum billiards and similarities with pure-tone random models in acoustics, microwave cavities and electric networks. Mathematical modelling in physics, engineering and cognitive sciences. Proc. of the conf. Mathematical Modelling of Wave Phenomena , 7 229, 2002. [Pg.77]

Damgov, V. N, Trenchev PI. and Sheiretsky K. Oscillator-Wave Model Properties and Heuristic Instances. Chaos, Solitons and Fractals, Oxford, Vol. 17 (2003), P. 41... [Pg.121]

Many realistic systems and their models have been considered to study dynamical chaos phenomenon. Such systems as, kicked rotor and various billiard geometries allow one to treat chaotic behavior of deterministic systems successfully. [Pg.184]

Lemont B. Kier, Chao-Kun Cheng, and Paul G. Seybold, Cellular Automata Models of Aqueous Solution Systems. [Pg.447]

The experiments and the simulation of CSTR models have revealed a complex dynamic behavior that can be predicted by the classical Andronov-Poincare-Hopf theory, including limit cycles, multiple limit cycles, quasi-periodic oscillations, transitions to chaotic dynamic and chaotic behavior. Examples of self-oscillation for reacting systems can be found in [4], [17], [18], [22], [23], [29], [30], [32], [33], [36]. The paper of Mankin and Hudson [17] where a CSTR with a simple reaction A B takes place, shows that it is possible to drive the reactor to chaos by perturbing the cooling temperature. In the paper by Perez, Font and Montava [22], it has been shown that a CSTR can be driven to chaos by perturbing the coolant flow rate. It has been also deduced, by means of numerical simulation, that periodic, quasi-periodic and chaotic behaviors can appear. [Pg.244]

M. Berezowski. Effect of delay time on the generation of chaos in continuous systems. One-dimensional model. Two-dimensional model - tubular chemical reactor with recycle. Chaos, Solitons Fractals, 12(l) 83-89, 2001. [Pg.317]


See other pages where Chaos Models is mentioned: [Pg.100]    [Pg.101]    [Pg.100]    [Pg.101]    [Pg.1102]    [Pg.1117]    [Pg.3064]    [Pg.192]    [Pg.403]    [Pg.730]    [Pg.740]    [Pg.784]    [Pg.153]    [Pg.389]    [Pg.451]    [Pg.234]    [Pg.254]    [Pg.246]    [Pg.13]    [Pg.177]    [Pg.178]    [Pg.244]    [Pg.253]    [Pg.214]    [Pg.562]    [Pg.661]    [Pg.668]    [Pg.672]    [Pg.282]    [Pg.26]    [Pg.280]    [Pg.282]   
See also in sourсe #XX -- [ Pg.99 ]




SEARCH



Chaos

© 2024 chempedia.info