Default calibration parameters

Once ftE calibration and test sets are defined, SIMC. models are estimated using ini rank estimates Offom PCA) and default class volumes (from the software fKrkage). The samples in the test set arc predicted and the results evaimtedaa detennine if modification of the tanks and/or class volumes is needed (see Habit 4 for details of this evaluation). If the number of misclassifi-cations is anacccptable, the rank and class volume parameters are adjusted and the pswress repeated. 

The applicability of a material model depends largely on the values that the user/engineer will choose for the parameters of the model. In most cases in order to select appropriate values, calibration of the model and hence experimental results are required. Usually this sort of information is not available and therefore default values have to be used. When the law employed is sensitive to its parameters, lack of experimental results may narrow considerably its applicability. For both the Monti-Nuti and the Menegotto-Pinto models, suggested values can be obtained from various publications. A typical range for the model parameters are listed in Table 1. Bold letters denote the values that have been found appropriate for a wide range of applications by the authors. 

The lEUBK predictive model was used extensively in these non-Box Basin studies. As for the Box evaluations, the biokinetic modeling was necessary for evaluating responses of PbB simulations to environmentally variable media Pb inputs and calibrations for intake—uptake parameters and for determining risk levels linked to various Pb input scenarios. Table 23.9 indicates the concordance between measured and predicted PbB levels for the non-Box subjects and environmental data sets using either default or indicated bioavailability and dust/soil ratios. The site-specific partitioning values... 

The last step in reformer configuration is to choose calibration factors for the model as shown in Figure 5.51. The calibration factors refer to the various reaction and process parameters that we will calibrate to match plant performance and predict new operating scenarios. The Default values are based on cahbration from a variety of different sources. In general, these factors also provide an initial guess that we refine through the calibration process. For the initial model run, we choose tire default and click Close. ... 

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