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Space-time history

There is a fundamental relationship between d-dimensional PCA and d + 1)-dimensional Ising spin models. The simplest way to make the connection is to think of the successive temporal layers of the PCA as successive hyper-planes of the next higher-dimensional spatial lattice. Because the PCA rules (at least the set of PCA rules that we will be dealing with) are (1) Markovian (i.e. the probability of a state at time t + T depends only on a set of states at time t, and (2) local, one can always define a Hamiltonian on the higher-dimensioned spatial lattice such that the thermodynamic weight of a configuration 5j,( is equal to the probability of a corresponding space-time history Si t). ... [Pg.341]

Summing equation 7.59 over all possible space-time histories , 5t, we get that... [Pg.344]

If we now sum over all space-time histories and make the mean-field substitution of the densities p and p for S and S, respectively, we get the following simple mean-field iterative equation ... [Pg.350]

Notice that in this general case, correlation functions cannot be solved for directly instead, there is an entire hierarchy of lower-order correlations expressed as functions of higher-order correlations. For example if we take an average of equation 7.79 over all space-time histories, and assume that we have a steady-state so... [Pg.350]

The characteristics of the reference motions for the SLl and SL2 designs include response spectra for a sufficient number of damping values and space-time histories (variation of ground acceleration with time) compatible with the spectra. [Pg.152]

The space-time histories are, in general, deemed necessary (except for the use of approximate methods described later) for the evaluation of the response of plant components, for the evaluation of the nonlinear structural behaviour (rarely needed) and for certain evaluations of soil-structure interaction. They should also represent the duration of the shaking, which is frequently correlated with the length of the origin fault and with the velocity of propagation of its rupture. [Pg.152]

The dynamic methods used are a modal analysis with a spectrum as an input and a space-time history analysis which needs one or more accelerograms for inputs. Analyses of the first type are the most common ones the second type is used in particular cases or for the accurate study of the response of a plant component placed at a specific place in a structure. [Pg.162]

The response of a simple oscillator to a seismic event is given by the value of the spectral response (Fig. 15-6) if the earthquake is defined by its spectrum. Instead, when the earthquake is defined by the space-time history of the ground acceleration, its response can be calculated by the Duhamel integral ... [Pg.163]

The above methods are based on the modal analysis and therefore on the previous determination of frequencies and vibration modes and on the subsequent calculation of the response of various modes to a space time history (time history of the ground acceleration) or to a design spectrum. These methods are the most used and are vahd in the majority of cases. Some peculiar situations (such as the presence of marked non-linearities) require a direct integration of the motion equations, generally performed step-by-step. [Pg.168]

Next, we examine the geometrical property of a PSANB path. Figure 6.9 shows a comparison between the trace (space-time history) of the time-propagation of the quantum wavepacket mechanical (QM) and the corresponding PSANB branching paths in the dynamics of Fig. 6.8. The... [Pg.221]

Fig. 6.9 Space-time history of a branching path in the space of (atomic distance (R), and time (T)) in the five state model. The path represents the central poistion of the initial Gaussian function as in Fig. 6.8. The point marked with a circle denotes the branching position, which is determined in terms of the condition of Ekj. (6.45). The contour plot in curves represents the same space-time history of the corresponding quantum wavepacket. (Reprinted with permission from T. Yonehara et al., J. Chem. Phys. 137, 22A520 (2012)). Fig. 6.9 Space-time history of a branching path in the space of (atomic distance (R), and time (T)) in the five state model. The path represents the central poistion of the initial Gaussian function as in Fig. 6.8. The point marked with a circle denotes the branching position, which is determined in terms of the condition of Ekj. (6.45). The contour plot in curves represents the same space-time history of the corresponding quantum wavepacket. (Reprinted with permission from T. Yonehara et al., J. Chem. Phys. 137, 22A520 (2012)).
Fig. 7.35 SET dynamics of nonadiabatic rearrangement of hydrogen molecule embedded Bi2 cluster, (a) The time dependent mean potential (Hej) and its relation to the adiabatic potential energies of the ground state (GND dashed black line) and excited states (EXl-9 red solid lines). The total energy (Hg ) +Tnuc >s also shown as an almost horizontal line, (b) Time dependent population of 6 adiabatic states the ground (GND), first (EXl), second (EX2), third (EX3), fourth (EX4) and fifth (EX5) excited states, (c) Space-time history of the atoms in three-dimensional Cartesian coordinates (in Bohr units). The trajectories of 12 boron and 2 hydrogen atoms are expressed with green and blue points, respectively, the initial positions of which are marked with red circles embedded in the inner region. The hydrogen atoms are immediately pulled apart and each moves to the surface of the cluster. (Reprinted with permission from T. Yonehara et ai, J. Chem. Phys. 137, 22A520 (2012)). Fig. 7.35 SET dynamics of nonadiabatic rearrangement of hydrogen molecule embedded Bi2 cluster, (a) The time dependent mean potential (Hej) and its relation to the adiabatic potential energies of the ground state (GND dashed black line) and excited states (EXl-9 red solid lines). The total energy (Hg ) +Tnuc >s also shown as an almost horizontal line, (b) Time dependent population of 6 adiabatic states the ground (GND), first (EXl), second (EX2), third (EX3), fourth (EX4) and fifth (EX5) excited states, (c) Space-time history of the atoms in three-dimensional Cartesian coordinates (in Bohr units). The trajectories of 12 boron and 2 hydrogen atoms are expressed with green and blue points, respectively, the initial positions of which are marked with red circles embedded in the inner region. The hydrogen atoms are immediately pulled apart and each moves to the surface of the cluster. (Reprinted with permission from T. Yonehara et ai, J. Chem. Phys. 137, 22A520 (2012)).
Figure 5 provides an example of AE monitoring data from 22.01.1997 to 03,03.1997, in terms of time history of the main plant parameters (fig.Sa), as well as of the AE RMS values (fig. 5b). Normally, very little or no events were recorded, with the exception of the above period, in which an AE activity, very much concentrated in time and space, could be observed a sharp step in cumulative AE events takes place in a short, well defined time interval. A smaller sharp step in EA events had been observed a few days earlier, in the same position. [Pg.78]

In this case history, the control of the TMRaa (adiabatic Time-to-Maximum-Rate) is to be achieved in a semi-continuous reactor process by the dynamic optimization of the feed rate. Here it is desired to have the highest possible space-time-yield STY and it is necessary to achieve a thermally safe process (Keller, 1998). The reaction involves the addition of a sulfur trioxide on a nitro-aromatic compound... [Pg.365]

Pesic, P. D. (1993) Euclidean hyperspace and its physical significance. Nuovo Cimento B. 108B, ser. 2(10) 1145—53. (Contemporary approaches to quantum field theory and gravitation often use a 4-D space-time manifold of Euclidean signature called hyperspace as a continuation of the Lorentzian metric. To investigate what physical sense this might have, the authors review the history of Euclidean techniques in classical mechanics and quantum theory.)... [Pg.213]

A computer model has been developed to provide numerical simulations of fluidized bed coal gasification reactors and to yield detailed descriptions, in space and time, of the coupled chemistry, particle dynamics and gas flows within the reactor vessels. Time histories and spatial distributions of the important process variables are explicitly described by the model. With this simulation one is able to predict the formation and rise of gas bubbles, the transient and quasi-steady temperature and gas composition, and the conversion of carbon throughout the reactor. [Pg.157]

An MD simulation produces a file containing the time history of the coordinates and the velocities of atoms, the energies, and so on in the system. Assuming that a sufficient part of phase space has been sampled, the next step is to extract observables from this file by averaging instantaneous values of the quantity of interest, say A, over time... [Pg.180]


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See also in sourсe #XX -- [ Pg.152 ]




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Space-time

Time histories

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