Publication:

A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

Date

2023
Journal article
https://doi.org/10.1016/j.cemconcomp.2022.104903
Simple item page Full metadata Statistics
 
dc.contributor.authorPerko, Janez
dc.contributor.authorLaloy, Eric
dc.contributor.authorZarzuela, Rafael
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorNavarro, Ramiro Garcia
dc.contributor.authorMosquera, Maria J.
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.date.accessioned2023-07-07T07:05:57Z
dc.date.available2023-01-28T03:22:48Z
dc.date.available2023-01-30T10:46:30Z
dc.date.available2023-07-07T07:05:57Z
dc.date.embargo2023-02-28
dc.date.issued2023
dc.description.wosFundingTextThe work described in this manuscript has been performed under InnovaConcrete EC project, supported by funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant AgreementNo 760858. This work has been supported by the Flemish Government under the 'Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen'.
dc.identifier.doi10.1016/j.cemconcomp.2022.104903
dc.identifier.issn0958-9465
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41044
dc.publisherELSEVIER SCI LTD
dc.source.beginpageArt. 104903
dc.source.endpagena
dc.source.issueFebruary
dc.source.journalCEMENT & CONCRETE COMPOSITES
dc.source.numberofpages14
dc.source.volume136
dc.subject.keywordsCONCRETE
dc.title

A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
8245.pdf
Size:
10.07 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles