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Sampling problems

As P is increased, the partial cancellation between the kinetic part and the spring part may worsen the statistics on E. This has led to suggestions of alternative ways of estimating E [198]. As P goes up, the springs become stronger, the interactions in become (individually) weaker, and this leads to sampling problems. In... [Pg.2274]

Umbrella sampling attempts to overcome the sampling problem by modifying the potenti function so that the unfavourable states are sampled sufficiently. The method can be use with both Monte Carlo and molecular dynamics simulations. The modification of tf potential function can be written as a perturbation ... [Pg.597]

Much of the additional material is taken up by what 1 have called Worked examples . These are sample problems, which are mostly calculations, with answers given in some detail. There are seventeen of them scattered throughout the book in positions in the text appropriate to the theory which is required. 1 believe that these will be very useful in demonstrating to the reader how problems should be tackled. In the calculations, 1 have paid particular attention to the number of significant figures retained and to the correct use of units. 1 have stressed the importance of putting in the units in a calculation. In a typical example, for the calculation of the rotational constant B for a diatomic molecule from the equation... [Pg.470]

At the other extreme of Distefano s sample problems, for the largest initial charge, the maximum-stiffness ratio is of the order of 1500, which is considered to be a relatively large value. In this case, more than 10,000 time steps are required to distih 90 percent of the initial change, and the problem is better handled by a stiff integrator. [Pg.1339]

These potential sampling problems must be solved in advance of the unit test. The conclusions drawn from any unit test are strongly affected by the accuracy of the sampling methods and the resultant analyses. Methods should be discussed and practiced before the actual unit test. Analysts should use the trial measurements in prehm-inary plant-performance analysis to ensure that the results will be use-bil during the actual unit test. [Pg.2559]

Figure 2 and Table 1 illustrate a sample problem (Z, the compressibility factor, is assumed to be 1.0). [Pg.283]

For a sample problem that will include some of the additional iosst-s that are normally encountered in an actual situation, size a compressor to the following given conditions for a hydrocarbon gas ... [Pg.170]

Chapters 7, 8, and 9 demonstrate the consequence modeling techniques for vapor cloud explosions, BLEVEs, and flash fires, respectively, by presenting sample problems. These problems contain sufficient detail to allow an engineer to use the methods presented to evaluate specific hazards. [Pg.2]

Finally, several blast-prediction methods are described and discussed. These methods are demonstrated in Chapter 7 with sample problems. [Pg.69]

Figure 8.3. Graphical presentation for sample problem of the radiation heat flux as a function of time. Figure 8.3. Graphical presentation for sample problem of the radiation heat flux as a function of time.
In this chapter, applications of the calculation methods used to predict the hazards of BLEVEs, as described in Chapter 6, are demonstrated in the solution of sample problems. Fire-induced BLEVEs are often accompanied by fireballs hence, problems include calculation of radiation effects. A BLEVE may also produce blast waves and propel vessel fragments for long distances. The problems include calculations for estimating these effects as well. Calculation methods for addressing each of these hazards will be demonstrated separately in the following order radiation, blast effects, and fragmentation effects. [Pg.285]

In this section, three examples of blast calculations of BLEVEs and pressure vessel bursts will be given. The first example is designed to illustrate the use of all three methods described in Section 6.3.2. The second is a continuation of sample problem 9.1.5, the BLEVE of a tank truck. A variation in the calculation method is presented instead of determination of the blast parameters at a given distance from the explosion, the distance is calculated at which a given overpressure is reached. The third example is a case study of a BLEVE in San Juan Ixhuatepec (Mexico City). [Pg.292]


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See also in sourсe #XX -- [ Pg.7 , Pg.23 ]

See also in sourсe #XX -- [ Pg.3 , Pg.1633 ]

See also in sourсe #XX -- [ Pg.30 , Pg.34 ]




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Aggregates sample problem

BLEVEs - Sample Problems

Baffles sample problem

Classical sampling problem

Classical sampling problem description

Cloud Explosions - Sample Problems

Conformational Sampling and the Global Minimum Problem

Description of Sample Problem

Dilute samples,injection problems

Epidemiological studies sampling problems

Flash fire sample problems

Free energy sample problem

Interaction energy sample problem

Laplace equation sample problem

Matrix sample problems

Meniscus sample problem

Pearson Correlation Coefficient Sample Problem

Problem of small sample size

Problem samples liquids, slurries and solids

Problem with statistical sampling

Problem with statistical sampling error

Problems encountered in automating sample preparation

Problems of Sample Introduction

Problems sample addition

Problems with Sample Material

Refractive index sample problem

Regression Sample Problem

Sample Density Problems

Sample Design Problem

Sample Presentation for Photostability Studies Problems and Solutions

Sample Problem Shannon Method for Temperature-Versus-Time Curves

Sample Problems

Sample Problems

Sample Problems on Mean Stress Effect and Fatigue Strength Diagrams

Sample Problems on S-N Curves

Sample Scored Problem

Sample dielectric water problem

Sample introduction, problems

Sample problems approach

Sample size problems with

Sampling General Problems

Sampling residues, problems

Support Vector Machine Data Processing Method for Problems of Small Sample Size

Surface charge density sample problem

Surface potential sample problem

Teflon sample problem

The sample volume problem

Vapor cloud explosion sample problems

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