作者: C. Farhat , J. G. Michopoulos , F. K. Chang , L. J. Guibas , A. J. Lew
DOI: 10.1007/11758532_61
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摘要: This paper outlines the initial motivations and implementation scope supporting a dynamic data driven application system for material structural health monitoring as well critical event prediction. The paradigm is exploited to promote advances, measurement systems methods, mathematical statistical algorithms finally software infrastructure relevant this effort. These advances are intended enable behavior prediction avoidance on multiple time scales.