DDEMA: A Data Driven Environment for Multiphysics Applications

In this paper we present the design of a multidisciplined problem solving environment (MPSE) for supporting an efficient prediction capability for the response of multiscale interdisciplinary continuous interacting systems. This design takes into consideration information technologies, coupled multiphysics sciences, and data-driveness to steer adaptive modelling and simulation of the underlying systemic behavior. The paper describes the design objectives and software architecture of Design of a Data Driven Environment (DDEMA) in the context of two multidisciplinary applications related to material/structure design of supersonic platforms and fire/material/environment interaction monitoring, assessment and management.

Authors: John Michopoulos, Panagiota Tsompanopoulou, Elias Houstis, Charbel Farhat, Michel Lesoinne, and Frederic Lechenault

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