Data for the paper "Stochastic multi-objective optimisation of the cure process of thick laminates"
datasetposted on 31.07.2018 by Konstantinos Tifkitsis, Giacomo Struzziero, Alex Skordos
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
-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