Big Data in Experimental Mechanics and Model Order Reduction: Today’s Challenges and Tomorrow’s Opportunities

Since the turn of the century experimental solid mechanics has undergone major changes with the generalized use of images. The number of acquired data has literally exploded and one of today’s challenges is related to the saturation of mining procedures through such big data sets. With respect to di...

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Veröffentlicht in:	Archives of computational methods in engineering 2018, Vol.25 (1), p.143-164
Hauptverfasser:	Neggers, Jan, Allix, Olivier, Hild, François, Roux, Stéphane
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Data acquisition Data management Data mining Digital imaging Engineering Image acquisition Mathematical and Computational Engineering Mechanics Mechanics of materials Model reduction Physics Reduction S.I.: Machine learning in computational mechanics Solid mechanics
Online-Zugang:	Volltext
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