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Data for the paper "Stochastic multi-objective optimisation of the cure process of thick laminates"

dataset
posted on 31.07.2018 by Konstantinos Tifkitsis, Giacomo Struzziero, Alex Skordos
-Surrogate_model_validation.xlsx includes the data corresponding to the comparison between FE and surrogate model (responses surfaces, PDF of model error, stochastic simulation)

-Uncertainty_quantification_results.xlsx includes the results of uncertainty quantification of convection coefficient and tool temperature.

-Stochastic_optimisation_results.xlsx includes the stochastic and deterministic Pareto points of stochastic and deterministic optimisation respectively.

-Sensitivity_analysis_results.xlsx includes the data corresponding to the sensitivity analysis of standard and optimal profiles.

-flat_panel_15.6mm.dat : Marc input corresponding to Cure model of this study

-usub.f: contains all the subroutines for material properties and boundary conditions

Funding

EPSRC grant RPOACM (EP/K031430/1)

History

Authoriser (e.g. PI/supervisor)

a.a.skordos@cranfield.ac.uk

Licence

Exports