Model verification

The unidirectional interply interface model (see Eq. 7.4) was used to calculate the degree of intimate contact versus time for unidirectional samples consolidated at different temperatures and pressures. The surface characterization parameters for T300/P1700 and 

Considering the complexities involved in the formation of the cross-ply interface during consolidation, the cross-ply interply interface model predicted degrees of intimate contact 

Very few studies have appeared in the literature that specifically address the intimate contact of an angle ply [+0/—0] interface. In a study reported by Li and Loos [22], APC-2 laminates, 

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Model verification provides a common-sense check of results. One quick check is to compare the minimized energy to that of similar proteins. It is also important to examine the structure to ensure that hydrophobic groups point inward and hydrophilic groups point outward. 

Model verification. A very important, crucial step in modelling is model verification. This is a cyclic, iterative process which must be repeated with respect to all models at all stages of... 

Analysis Simulation Program (WASP) and Model Verification Program (MVP)—Documentation" U.S. Environ. Prot. Agency,... 

In the past few years a variety of workshops and symposia have been held on the subjects of model verification, field validation, field testing, etc. of mathematical models for the fate and transport of chemicals in various environmental media. Following a decade of extensive model development in this area, the emphasis has clearly shifted to answering the questions "How good are these models ", "How well do they represent natural systems ", and "Can they be used for management and regulatory decision-making "... 

Thomann ( 1 1 ) discusses various model verification measures and demonstrates their application to eutrophication model results. Studies by Ambrose and Roesch (J 2), Hartigan et. al. (13),... 

What measurements are available, and what data are available for model verification ... 

In the previous section we addressed some of these issues in the context of physical versus empirical models. These issues are also intertwined with the question of model verification what kinds of data are available for determining that the model is a valid description of the process Model building is an iterative process, as shown by the recycling of information in Figure 2.2. 

Model verification tests showed that it could predict k-factor to within 3 points... 

Whitney, D. C. Analysis of Results of Past Model Verification Studies. San Rafael, Calif. Systems Applications, Inc., 1974. (draft report)... 

Residual oil impact estimates by modeling provided a severe test of GRID s capacity since the CMB impact estimates were small (less than one-quarter yg/m ) and the physical basis of the model inherently limits it s ability to predict point source plume transport. Since Initial comparisons (Figure 5) showed GRID estimated impacts to be overpredicted at all sites relative to CMB estimates, further improvements to the data base were suggested. Overall, annual model verification results for all sources were relatively poor with the dispersion model predictions consistently underestimating both the CMB-derlved estimates and the measured TSP mass data. 

Experience gained during the past four years has shown that data base improvement programs such as those implemented in Oregon have provided new perspectives into the nature of each airshed s emissions. Subsequent major changes in each community s emission Inventories have Improved dispersion modeling results and provided a level of dispersion model verification Impossible to attain using traditional hl-vol measurements alone. 

Model Verification. There are several ways in which the models described here may be verified ... 

Tertiary amine Alamine-336 -do- -do- ELM Shrinking core model Effect of convective transport and swelling accoimted for modeling and model verification [70]... 

In the current work, we present a comprehensive approach to the problem dynamic mathematical models for simultaneous reactions media, numerical methodology as well as model verification with experimental data. Design and optimization of industrially operating reactors can be based on this approach. 

The Klauda and Sandler model can be used to predict the uniformly distributed hydrates that form in place on the seafloor with a resulting BSR, rather than those associated with rapid convective fluxes, which tend to be associated with faults, and thus more anecdotal in nature. Klauda and Sandler note that their model can be used to predict 68 of 71 local occurrences where hydrates have been found around the world, and explain the three exceptions. The ability to predict hydrate occurrences is a significant step in model verification. 

Outside of the occasional system calibration and model verification tests, the routine maintenance burden of a Raman system is quite low. Optical windows may need to be cleaned, though automatic window cleaning systems can be implemented if it is a known issue. The most likely maintenance activity is laser replacement. Some systems have a backup laser that turns on automatically if the primary laser fails. This lessens the impact of a failure if the unit is being used for closed-loop process control. With a quality instrument and well-developed models, process Raman installations need less maintenance than many competing techniques. 

In general, it appears likely that a fit to the intermediate species profiles should provide the most sensitive means of model verification, even when the result of direct interest is a bulk parameter such as flame speed or rate of energy release. Laser probe methods can be also extremely useful in the absence of full verification, however. Even a semiquantitative measurement of some species in a flame can constitute the clue to the inclusion within the model of an entire subnetwork of chemical reactions. Coupled closely to model predictions, the laser probe results can pinpoint species and reactions which merit special attention, that... 

Abstract. A phase equilibriums in intermetallic compounds hydrides in the area of disordered a-, (3-phase in the framework of the model of non-ideal lattice gas are description. LaNi5 hydride was chosen as the subject for the model verification. Position of the critical point of the P—w.-transition in the LaNi5-hydrogen system was definite. 

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