Towards a Dynamic Data Driven System for Structural and Material Health Monitoring

C. Farhat1, J.G. Michopoulos2, F.K. Chang1, L.J. Guibas1, and A.J. Lew1

1 Dept. of Mechanical Engineering and Computer Science, Stanford University Stanford, CA 94305, U.S.A.
cfarhat@stanford.edu
fkchang@stanford.edu
guibas@stanford.edu
lewa@stanford.edu

2 Special Projects Group, Code 6390.2, Center for Computational Material Science, Naval Research Laboratory, U.S.A.
john.michopoulos@nrl.navy.mil

Abstract. This paper outlines the initial motivations and implementation scope supporting a dynamic data driven application system for material and structural health monitoring as well as critical event prediction. The dynamic data driven paradigm is exploited to promote application advances, application measurement systems and methods, mathematical and statistical algorithms and finally systems software infrastructure relevant to this effort. These advances are intended to enable behavior monitoring and prediction as well as critical event avoidance on multiple time scales.

LNCS 3993, pp. 456-464.

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