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Optimal mechanical performance prediction of a sediment-based geopolymer road sub-layer

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorMONTEIRO, Lisa
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorHAFIDI ALAOUI, Hamza
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorYANEZ-GODOY, Humberto
IDREF: 147692091
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSALIBA, Jacqueline
IDREF: 17096647X
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSAIYOURI, Nadia
IDREF: 098827421
dc.date.accessioned2023-09-21T12:42:22Z
dc.date.available2023-09-21T12:42:22Z
dc.date.issued2023-07
dc.date.conference2023-07-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/183757
dc.description.abstractEnIn a world where concrete is king and because of the environmental challenges, it is urgent to find sustainable alternatives to the latter. From this perspective, this study considers the replacement of concrete with raw materials, namely sediments. Precisely, this work aims to predict the compressive strength of geopolymer mortars made from sediments. The approach combines principal component analysis (PCA) and ordinary least squares (OLS) multivariate regression models. The predictive model highlights several indicators, such as clay, specific surface, and sediment density. Other indicators, such as organic matter and geopolymerization activators, should be considered, although not statistically significant.
dc.language.isoENen_US
dc.title.enOptimal mechanical performance prediction of a sediment-based geopolymer road sub-layer
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.conference.title14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14en_US
bordeaux.countryieen_US
bordeaux.conference.cityDublinen_US
bordeaux.inpressnonen_US
hal.identifierhal-04431814
hal.version2
hal.date.transferred2024-02-02T09:18:03Z
hal.conference.end2023-07-13
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2023-07&rft.au=MONTEIRO,%20Lisa&HAFIDI%20ALAOUI,%20Hamza&YANEZ-GODOY,%20Humberto&SALIBA,%20Jacqueline&SAIYOURI,%20Nadia&rft.genre=unknown


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