The decision on the fitness for purpose of a simulation should be based on the quantity of interest. However, in general, models are used because there is no complete experimental information available on the quantity of interest, so a direct judgement is not possible. The aim of this article is to put in light this dichotomy, and propose a methodology to decide if a simulation is fit for purpose, based on the experimental data available and an ensemble of simulations. The methodology is illustrated with one example of microscale simulations.
How to choose the best simulation for a specific purpose?
BUCCOLIERI, RICCARDO;
2011-01-01
Abstract
The decision on the fitness for purpose of a simulation should be based on the quantity of interest. However, in general, models are used because there is no complete experimental information available on the quantity of interest, so a direct judgement is not possible. The aim of this article is to put in light this dichotomy, and propose a methodology to decide if a simulation is fit for purpose, based on the experimental data available and an ensemble of simulations. The methodology is illustrated with one example of microscale simulations.File in questo prodotto:
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