Dynamic Data Driven Methodologies for Multiphysics System Modeling and Simulation

  • J. Michopoulos
  • C. Farhat
  • E. Houstis
  • P. Tsompanopoulou
  • H. Zhang
  • T. Gullaud
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3515)


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 sensor-originating data-driven precomputed solution synthesis are given for two applications. Finally, some of the computational implementation details are presented.


Reduce Order Model Fire Dynamic Simulator Solution Synthesis Computational Implementation Behavioral Simulation 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • J. Michopoulos
    • 1
  • C. Farhat
    • 2
  • E. Houstis
    • 3
    • 4
  • P. Tsompanopoulou
    • 4
  • H. Zhang
    • 3
  • T. Gullaud
    • 2
  1. 1.Code 6390, Special Projects GroupU.S. Naval Research LaboratoryU.S.A
  2. 2.Dept. of Mechanical EngineeringStanford UniversityU.S.A
  3. 3.Computer Sciences Dept. & Electrical and Computer Engineering Dept.Purdue UniversityU.S.A
  4. 4.Dept. of Comp. Eng. and TelecommunicationsUniversity of ThessalyGreece

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