Méta-modèles réduits et séparés du comportement de balayage d'un moteur Diesel 2-temps pour l'exploration évolutionnaire des espaces de solutions

摘要

The use of numerical methods to design a product became more and more commonover the past 30 years. However, numerical models are still specialized and they do not run fastwhich make their use problematic. So some reduced models of scavenging have been developed. These models are analytical andgeneric; they run quickly and avoid the numerical treatment problems. They are also some efficienttools in the search of design solutions.The work carried out has led to a new methodology based on a behavioral meta-model called“neuro-separated” including a neuronal model of state, a pseudo-dynamic neuronal model and amodel with separated variables. Then, a process of decision aids exploiting the models previouslydeveloped in evolutionary algorithms (genetic algorithms) and the fast behavioral simulation of theoptimal design solutions thanks to the kriging approach.This design approach is multi-viewpoints, multi-criteria and multi-physics. It also includes acognitive dimension: both free and controlled evolutionary explorations of solution spaces have beendone. To validate the method, some qualification criteria have been evaluated for each model. Theyallow to understand and to assume the gap between the reduced models and the initial CFD base(where the model are coming from). Our approach has led to the development of a tool of model and decision aids using Python and Matlab software programs.