Data set on predictive compressive strength model for self-compacting concrete
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Elsevier
Abstract
Description
The determinationofcompressivestrengthisaffectedbymany
variablessuchasthewatercement(WC)ratio,thesuperplasticizer
(SP), theaggregatecombination,andthebindercombination.In
this datasetarticle,7,28,and90-daycompressivestrengthmodels
are derivedusingstatisticalanalysis.Theresponsesurfacemeth-
odology isusedtoinvestigatetheeffectoftheparameters:Varying
percentagesofash,cement,WC,andSPonhardenedproperties-
compressivestrengthat7,28and90days.Thelevelsofindependent
parametersaredeterminedbasedonpreliminaryexperiments.The
experimentalvaluesforcompressivestrengthat7,28and90days
and modulusofelasticityunderdifferenttreatmentconditionsare
also discussedandpresented.Thesedatasetcaneffectivelybeused
for modellingandpredictioninconcreteproductionsettings
Keywords
TA Engineering (General). Civil engineering (General)