Modeling of Complex Properties of Vacuum Packed Particles Using Evolutionary Algorithms - New Contributions in Information Systems and Technologies - page 257

Fig. 11. Verification of the model response. Blue points - experiment, green lines -
approximatedvaluesofaveragedvaluesofexperiment,redline-fittedvalues.

researchsuchanapproachseemstobeinsucientlyaccurate.Bestresultsofthe
modelidentificationhavebeendepictedinFig.11.
BasingonthedatapresentedinFig.11wecanobservequitealargediscrep-
ancybetweenexperimentalandnumericaldata.Thethinredlinerepresenting
thenumericalresponseofthemodeldoesnotcovertherealbehaviorofVPPs.
Thustheaccuratesimulationofthisphenomenawillrequiremorecomplexcon-
stitutiverelationship.ToevaluatethequalityofsolutionthestandardPearson's
correlationcoecienthasbeencalculated.Fortheconsideredcasethevalueof
thecorrelationfunctionwas0 . 903.

6 Conclusions

TheGeneticAlgorithmstrategyproposedinthepaperseemstobereliableinthe
classofproblemsrelatedtoidentificationofmaterialsparameters.Manyworks
have shown that GA are a powerful tool applied in classical inverse problems
concerningtheestimationofmaterials'constitutivemodelsparameters.
Rheologicalmodelsoriginallyproposedforclassicalpolymersmaybeinsu-
cientforsuchstructuresasloosematerialsplacedinaspacewithpartialvacuum.
Future research related to the mechanics of the Vacuum Packed Particles
should involve both an extensive laboratory tests, enriching knowledge about
uncommonmechanicalpropertiesofVPPsandsophisticatednumericalanalyses
providingagoodmathematicaldescriptionofinvestigatedstructures.

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