Dynamic data driven methodologies for multiphysics system modeling and simulation

Authors:
J. Michopoulos;C. Farhat;E. Houstis;P. Tsompanopoulou;H. Zhang;T. Gullaud
Affiliations:
Code 6390, Special Projects Group, U.S. Naval Research Laboratory;Dept. of Mechanical Engineering, Stanford University;Computer Sciences Dept. & Electrical and Computer Engineering Dept., Purdue University;Dept. of Comp. Eng. and Telecommunications, University of Thessaly, Greece;Computer Sciences Dept. & Electrical and Computer Engineering Dept., Purdue University;Dept. of Mechanical Engineering, Stanford University
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Year:
2005

Citing 2
Cited 2

On a data-driven environment for multiphysics applications

Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
DDEMA: a data driven environment for multiphysics applications

ICCS'03 Proceedings of the 2003 international conference on Computational science

Underlying issues associated with validation and verification of dynamic data driven simulation

Proceedings of the 38th conference on Winter simulation
Dynamic data driven applications systems: new capabilities for application simulations and measurements

ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II

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Abstract

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.