Data-driven computation for history-dependent materials

This paper introduces a new vision of data-driven structure computation taking advantage of Material Science, especially for highly nonlinear and time-dependent material behaviours. Technical solutions are also derived, in order to build internal hidden variables defining the so-called Experimental Constitutive Manifold. (C) 2019 Academie des sciences. Published by Elsevier Masson SAS.