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• W2549347859 abstract "The use of fire models currently extends beyond the fire research laboratories and into the engineering, fire service and legal communities. Sufficient evaluation of the models is necessary to ensure that users can judge the adequacy of its technical basis, appropriateness of its use, and confidence level of its predictions. The model evaluation process consists of two main components: verification and validation [1]. Verification is a process to check the correctness of the solution of the governing equations. Verification does not imply that the governing equations are appropriate; only that the equations are being solved correctly. Validation is a process to determine the appropriateness of the governing equations as a mathematical model of the physical phenomena of interest. Typically, validation involves comparing model results with experimental measurement. Differences that cannot be explained in terms of numerical errors in the model or uncertainty in the measurements are attributed to the assumptions and simplifications of the physical model. It is commonly assumed by model users that verification and validation (VV and second, it assures the user that the model can address the given fire scenario, even providing the user with some estimate of its accuracy. This paper presents a relatively simple way that a user can determine if a particular application of the model has been validated. For example, suppose the problem at hand is a fire in a warehouse with a 10 m ceiling, sprinklers, roof vents, and HVAC system. There is probably no experimental data set that is exactly like it, and it would be too expensive to conduct new experiments. How does one determine if any validation work is appropriate for this scenario? The approach taken in a recent validation study conducted by the U.S. Nuclear Regulatory Commission (NRC) and the Electrical Power Research Institute (EPRI) was to characterize the experiments used in the study in terms of a handful of commonly used non-dimensional quantities from the fire literature [2]. This essentially defines the “parameter space” for which the model was validated. The fire protection engineers using the models as part of their PRAs (Probabilistic Risk Assessments) are warned that the models can only be applied within this parameter space. This prevents the tendency by users to simply declare that the model has been validated and can be used for any application. The non-dimensionalized parameters used in the NRC/EPRI study are:" @default.
• W2549347859 created "2016-11-30" @default.
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• W2549347859 date "2011-01-01" @default.
• W2549347859 modified "2023-09-23" @default.
• W2549347859 title "A WAY TO CHARACTERIZE THE RANGE OF VALIDITY OF A FIRE MODEL" @default.
• W2549347859 hasPublicationYear "2011" @default.
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