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Consequence timing

The technique can be used either to perform geometry optimization, by simultaneously annealing the wavefunction and the geometry, or to simulate real dynamics, if the temperature of the fictitious (electronic) parameters is kept close to zero. A drawback of the method is that small masses must be chosen for the electronic parameters in order to achieve an adiabatic separation of the nuclear and the fictitious parameter motions. As a consequence, time steps smaller than MD simulations involving only nuclear motion, are required. [Pg.189]

Data and procedures presented in this section can be used in either approach. Time-independent approximations of failure criteria are presented to provide first-order estimates of fire consequences. Time-dependent criteria are also presented where specific scenarios warrant more detailed analysis. Most of the thermal criteria is presented in terms of heat flux, although some temperature criteria are also presented. A conservative methodology is presented to translate heat flux from a fire to surface temperature on a material target. [Pg.80]

Figure 3.4 Profiles of velocity (A) and shear stress (B) over duct cross-sections at consequent time moments l-f = 0, 2-f = Af = 7720, 3 - t = 2A t, etc. for the periodic pressure change (3.14) with the amplitude a = 2.5 and the low frequency co = 1. Bottoms - duct without EPR, tops - with an EPR, S = 0.7, A = 50. Figure 3.4 Profiles of velocity (A) and shear stress (B) over duct cross-sections at consequent time moments l-f = 0, 2-f = Af = 7720, 3 - t = 2A t, etc. for the periodic pressure change (3.14) with the amplitude a = 2.5 and the low frequency co = 1. Bottoms - duct without EPR, tops - with an EPR, S = 0.7, A = 50.
The spectral characteristics of the scattered light depend on the time scales characterizing the motions of the scatterers. These relationships are discussed in Chapter 3. The quantities measured in light-scattering experiments are the time-correlation function of either the scattered field or the scattered intensity (or their spectral densities). Consequently, time-correlation functions and their spectral densities are central to an understanding of light scattering. They are, therefore, discussed at the outset in in Chapter 2. [Pg.7]

We start from the following geological conception of the deposits geological history in Moscow region. We assume that the surface of deposits of fixed age was flat during the sediment formation. Tectonic movements in the consequent time may change its position in space but as a first approximation did not disturb the flatness. The fluctuations of flatness are caused by erosion processes but erosion zones occupy a small part of total area. [Pg.613]

Risk (consequence/time) = Frequency(event/time) X Magnitude (consequence/event). [Pg.793]

Consequently, time-dependence of the reagent s A concentration is described by (1.4). In the same manner it could be shown that (1.5) is true for the description of the simple reaction s kinetics... [Pg.7]

Time and space partitioning is a way to ease the composable development of software applications, as well as to improve the overall safety of the system. Spatial partitioning ensures that a task in one partition is unable to change private data of another task in another partition. Temporal partitioning, on the other hand, guarantees that the timing characteristics of tasks, such as their worst-case execution times, are not affected by the execution of other tasks in other partitions. Consequently, time and space partitioning enforces two important features ... [Pg.69]

Computational methods are typically employed to rationalize experimental findings such as molecular structures and spectroscopic data (vide infra), which also serve as benchmarks for assessing the quality of the methods used. At the same time, it is clear that the tme strength of computational chemistry is the prediction of new, hitherto unknown structures and reactions. In an ideal situation, this would greatly reduce experimental efforts and consequently time and monetary investments however, this is not yet done routinely, especially when the predictions cannot readily be probed. The key problem is that although many computational methods are well tested on a limited set of structures, new and unusual bonding arrangements, as often found in carbon-rich materials (bent bonds. [Pg.348]

Consequences) Timing Likeli- hood Signifi- cance... [Pg.143]

A (Antecedents) B (Desired Behavior) C (Consequences) CONSEQUENCE Timing Likelihood POTENCY Signifi- cance... [Pg.144]

In principle, for systems in which the time constant for overall motion is in the microsecond range and that for internal motion is one or two orders of mt itude shorter, 1/72 is virtually dominated by the frequency-independent spectral density 7(0). The restriction fragments under discussion satisfy that condition indeed, it is Tro of the symmetric top that is dominant. Consequently, time constants for internal motion are not reflected in simulations of T2 unless they are in the microsecond range. However, because 7(0) retains the geometry and equilibrium-sensitive coefficient, T2 simulations remain sensitive to them. [Pg.339]

Paramagnetic ions at surfaces of cement-based hydrates are an important cause of pore water relaxation. For conventional binders, this causes fast water relaxation within pores. In contrast, pure C3S or alite samples, because of the lack of paramagnetic ions, have longer relaxation times compared to Portland cement samples (up to a factor of 2-5). As a consequence, times of acquisition and RDs increase significantly. In these conditions, it becomes difficult to characterise C3S or alite samples during the early stages of hydration when the material evolves rapidly. Long measurement times become less problematic for mature C3S or alite pastes when the material evolves much more slowly. [Pg.313]


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Timing, of consequences

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