From big data to key data

Abstract : The tremendous inflation in the amount of data to be processed in mechanical tests calls for more efficient extraction of the sought final mechanical information, be it a constitutive law or a specific property. This efficiency may be tailored to not only reduce the computation load for the identification, following model reduction techniques, but also deflate the volume of acquired data, or “data pruning”, and hence the acquisition time. A route to fast 4D experiment will naturally emerge.
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Contributor : Clément Jailin <>
Submitted on : Wednesday, December 19, 2018 - 2:16:07 PM
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  • HAL Id : hal-01960477, version 1


Stéphane Roux, Clément Jailin, Arturo Mendoza, Jan Neggers, François Hild, et al.. From big data to key data. PhotoMechanics, Mar 2018, Toulouse, France. ⟨hal-01960477⟩



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