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Proceedings of CAD'15, 2015, 291-296
Simulation Data Management for Design of Experiments: Concepts and Specifications
Abstract. In a product development process, numerical simulation is a very important step to validate design decisions and to assess product performance along each step of its lifecycle. Designs of Experiment (DoE) are more and more used during the simulation process. To shorten the simulation process, two approaches were identified: (1) the DoE process execution duration reduction and (2) the DoE preparation process shortening by managing and reusing simulation data. The Simulation Data Management for Design of Experiment (SDM4DOE) project aims to develop these approaches to produce an open-source simulation platform dedicated to DoE applications. This platform ought to set and run DoE fast, for complex numerical models, while ensuring traceability of generated data and providing a decision-aid system for DoE preparation. This paper introduces concepts and specification to manage DoE process data. The simulation process and the DoE setting up are firstly described. Then, the selection of methods issue is addressed. The DoE data management system developed to solve this issue is detailed in the third section. To conclude, future works in the SDM4DOE project context are presented.
Keywords. Adaptive design of experiment, Simulation data management, Data models, Meta-modelling