Ofuyatan, Olatokunbo M. and Edeki, S.O. (2018) Data set on predictive compressive strength model for self-compacting concrete. Data in Brief, 17. pp. 801-806.
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Abstract
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Predictivemodel Compressivestrength Watercementratio Day-length |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 23 Jun 2020 13:09 |
| Last Modified: | 23 Jun 2020 13:09 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13409 |
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