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The main topics in dimensional verification: uncertainty, sampling or cost are addressed, Three actual cases, on the same workpiece design, are used to illustrate the method, benchmarking every of them in an Efficacy and Efficiency scale.
See the Methods section below for more information on the input data, verification, uncertainty and sensitivity analyses.
The methods section at the end details the datasets used for input and parameterization of the model, and describes the verification, uncertainty and sensitivity methods.
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Subsurface system analysis derived from the hydrologic community emphasizes conceptual model development through model verification, validation, uncertainty quantification, benchmarking and meta-analysis.
System thermalhydraulic investigations of Design Basis Accident require several tools and methods including the Process Identification and Ranking Table, the scaling, experiment analysis, modelling, code development, code Validation and Verification, and Uncertainty Quantification.
Further discussion focused on the framework proposed for assessment of systems pharmacology models 7 and referred to the US National Academies framework on Validation, Verification, and Uncertainty Quantitation.
In the framework of design verification, epistemic uncertainties are preponderant.
Verification of the uncertainty of this method was carried out.
These tools are now being carefully scrutinized through a systematic effort of verification, validation, and uncertainty quantification.
It is necessary to expose the numerical tools commonly used in radiation analyses to extensive verification, validation and uncertainty quantification.
These models are undergoing continuous development and application, with verification, validation, and uncertainty quantification (VV&UQ) as integrated activities.
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