Complex System Simulation: Proposition of a MBSE Framework for Design-Analysis Integration

The multi-disciplinary nature of complex system, such as aero engines, requires a data structure that considers the behavioural interactions within the system. This paper focuses on the management of simulations models and data, with respect to complex system structure. It is proposed to use model based system engineering (MBSE) methodology to support modelling activities and improve the integration of simulation activities in the design process. Current studies on MBSE address the issue of representing and integrating design models with diverse analysis/simulation/behavioural models. However, some limitations can be identified, especially regarding the federation of system presentation for addressing the overall behavioural aspects of the product (multi-physic, local and global behaviours) and thus considering the several system levels. Our proposal is to provide a software framework based on a data model that manages complex system structure. This data model structures behavioural information considering three major interactions:
• Interactions between components simulation models,
• Interactions considering multi-level behaviours (e.g. use of components simulation for a module simulation) and
• Interactions between domain behaviours (e.g. Thermal impact on mechanical).A demonstration of this software framework is proposed, based on the set-up of a mechanical simulation of an aero engine using CATIA/SIMULIA V6.