Dynamic Data Driven Methodologies for Multiphysics System Modeling and Simulation

نویسندگان

  • John Michopoulos
  • Charbel Farhat
  • Elias N. Houstis
  • Panagiota Tsompanopoulou
  • H. Zhang
  • T. Gullaud
چکیده

We are presenting a progress overview associated with our work on a data-driven environment for multiphysics applications (DDEMA). In this paper, we emphasize the dynamic-data-driven adaptive modeling and simulation aspects. Adaptive simulation examples of sensororiginating data-driven precomputed solution synthesis are given for two applications. Finally, some of the computational implementation details

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تاریخ انتشار 2005