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dc.contributor.authorShirani, Shiva
dc.contributor.authorCuesta-García, Ana María
dc.contributor.authorGómez-de-la-Torre, María de los Ángeles 
dc.contributor.authorSantacruz-Cruz, María Isabel 
dc.contributor.authorKoufany, Imane
dc.contributor.authorRedondo-Soto, Cinthya
dc.contributor.authorSalcedo, Inés R.
dc.contributor.authorLeón-Reina, Laura
dc.contributor.authorGarcía-Aranda, Miguel Ángel 
dc.date.accessioned2023-12-15T10:41:01Z
dc.date.available2023-12-15T10:41:01Z
dc.date.issued2023-11-14
dc.identifier.citationS. Shirani, A. Cuesta, A.G. De la Torre, I. Santacruz, A. Morales-Cantero, I. Koufany, C. Redondo-Soto, I.R. Salcedo, L. León-Reina, M.A.G. Aranda, Mix and measure - Combining in situ X-ray powder diffraction and microtomography for accurate hydrating cement studies, Cement and Concrete Research, Volume 175, 2024, 107370, ISSN 0008-8846, https://doi.org/10.1016/j.cemconres.2023.107370es_ES
dc.identifier.urihttps://hdl.handle.net/10630/28312
dc.description.abstractIt is reported an innovative methodology based on in situ MoKα1 laboratory X-ray powder diffraction (LXRPD) and microtomography (μCT) avoiding any sample conditioning. The pastes are injected in 2.0 mm capillaries and the extremes are just sealed. The measurements take place in the same region of the hydrating paste. Thick capillaries are key to avoiding self-desiccation, which dictates the need of high-energy X-ray radiation for the diffraction study. This approach has been tested with a PC 42.5 R paste having w/c = 0.50. μCT data were collected at 12 h and 1, 3, 7 and 79 days. LXRPD data were acquired at 1, 3, 7 and 77 days. In this proof-ofprinciple research, the same paste was also cured ex situ. Portlandite contents obtained by thermal analysis, ex situ powder diffraction, in situ mass balance calculation and in situ powder diffraction were 13.8, 13.1, 13.1 and 12.5 wt%, respectively. From the μCT study, the grey value histogram evolution with time showed a crossing point which allowed us to distinguish (appearing) hydrated products from (dissolving) unhydrated cement particles. Segmentations were carried out by global thresholding and the random forest approach (one type of supervised Machine Learning). The comparison of the segmented results for the unhydrated cement fraction and the Rietveld quantitative phase analysis outputs gave an agreement of 2 %. The potential of this methodology to deal with more complex binders is also presented.es_ES
dc.description.sponsorshipThis research was partly supported by the research grant PID2020- 114650RB-I00 of Agencia Estatal de Investigacion which is co-funded by ERDF.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCemento Portlandes_ES
dc.subjectRayos X - Difracciónes_ES
dc.subjectSistemas de imágeneses_ES
dc.subject.otherPortland cement hydrationes_ES
dc.subject.otherRietveld analysises_ES
dc.subject.other4D X-ray imaginges_ES
dc.subject.otherMicroCTes_ES
dc.titleMix and measure - Combining in situ X-ray powder diffraction and microtomography for accurate hydrating cement studies.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroFacultad de Cienciases_ES
dc.identifier.doi10.1016/j.cemconres.2023.107370
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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