Abstract
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 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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Michopoulos, J., Tsompanopoulou, P., Houstis, E., Rice, J., Farhat, C., Lesoinne, M., & Lechenault, F. (2003). DDEMA: A Data Driven Environment for Multiphysics Applications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2660, 309–318. https://doi.org/10.1007/3-540-44864-0_32
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