TY - DATA
T1 - 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"
PY - 2020/03/19
AU - Iuri Rocha
AU - P. (Pierre) Kerfriden
AU - Frans van der Meer
UR - https://data.4tu.nl/articles/dataset/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_/12693062/1
DO - 10.4121/uuid:45d11acd-3906-4474-ace4-e1073b45b8d2
KW - Artificial neural networks
KW - Hyper-reduction
KW - Laminated composites
KW - Reduced-order modeling
N2 - 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.
ER -