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Experimental dataset from a central composite design with two qualitative independent variables to develop high strength mortars with self-compacting properties

dc.contributor.authorMaia, Lino
dc.date.accessioned2024-01-30T15:06:38Z
dc.date.available2024-01-30T15:06:38Z
dc.date.issued2022
dc.description.abstractFresh and hardening properties of cement-based materials are key factors for correctly choosing the constituent ma terials and their mix proportions. To optimize design-based mortar compositions for specific applications, response mod els are frequently applied to data collected from scientific ap proaches. Here, experimental dataset regarding to a design of experiments carried out in mortars through a central com posite design with five independent variables is presented. Among the five independent variables, four were quan titative ones: Waterv/Cementv, Superplasticyzerm/Powderv, Waterv/Powderv, Sandv/Mortarv. The other independent vari able was a qualitative one: Superplasticiser A or Superplas ticiser B. In total 60 mortar compositions were done: for each qualitative variable a 24 factorial design comprising of 16 treatment combinations enlarged by 8 axial runs plus 6 central runs, resulting in a central composite design with 30 mortar trial mix compositions. The following dependent variables were tested: the D-flow and the t-funnel to evalu ate the fresh properties and the compressive at the age of 24 h and at the age of 28 days to evaluate the hardened properties. Based on this dataset, response models can be ap plied to find optimized mix compositions, with the effect of the two qualitative variables being determined.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMaia, L. (2022). Experimental dataset from a central composite design with two qualitative independent variables to develop high strength mortars with self-compacting properties. Data in Brief, 40, 107738.pt_PT
dc.identifier.doi10.1016/j.dib.2021.107738pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5503
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationInstitute of R&D in Structures and Construction
dc.relationNot Available
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCementpt_PT
dc.subjectDesign of experimentspt_PT
dc.subjectMortarpt_PT
dc.subjectNormensandpt_PT
dc.subjectResponse modelpt_PT
dc.subjectSuperplasticiserpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciêrncias Exatas e da Engenhariapt_PT
dc.titleExperimental dataset from a central composite design with two qualitative independent variables to develop high strength mortars with self-compacting propertiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstitute of R&D in Structures and Construction
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04708%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC INST 2018/CEECINST%2F00049%2F2018%2FCP1524%2FCT0001/PT
oaire.citation.startPage107738pt_PT
oaire.citation.titleData in Briefpt_PT
oaire.citation.volume40pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC INST 2018
person.familyNameSerra Maia
person.givenNameLino Manuel
person.identifierR-000-97W
person.identifier.ciencia-idB711-823E-18C5
person.identifier.orcid0000-0002-6371-0179
person.identifier.scopus-author-id37051068400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3843bbca-e366-4c2f-ba3a-1b950a201d4b
relation.isAuthorOfPublication.latestForDiscovery3843bbca-e366-4c2f-ba3a-1b950a201d4b
relation.isProjectOfPublicationabd7f324-6515-4266-9436-ffcb0514f942
relation.isProjectOfPublicatione828512c-37f5-44e3-8abc-49733d0c863a
relation.isProjectOfPublication.latestForDiscoverye828512c-37f5-44e3-8abc-49733d0c863a

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