Data presented in the paper: "Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks"

Dataset

Description

This package contains the data presented in the following publication: I.B.C.M. Rocha, P. Kerfriden, F.P. van der Meer, "Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks", European Journal of Mechanics A/Solids 2020. All data have been generated with simulations with the in-house finite element code as described in the paper. Simulation results have been processed to generate the relevant plots for the paper. The data stored here is the processed data as used for generating the plots.
Date made available19 Mar 2020
PublisherTU Delft - 4TU.ResearchData
Date of data production2020 -

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