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4D Early Age Cement Hydration Analysis by Ptychographic X-ray Computed Tomography and Machine Learning Segmentation
dc.contributor.author | Shirani, Shiva | |
dc.contributor.author | Cuesta-García, Ana María | |
dc.contributor.author | Díaz, Ana | |
dc.contributor.author | García-Aranda, Miguel Ángel | |
dc.contributor.author | Trtik, Pavel | |
dc.contributor.author | Holler, Mirko | |
dc.date.accessioned | 2022-07-12T06:45:46Z | |
dc.date.available | 2022-07-12T06:45:46Z | |
dc.date.issued | 2022-06 | |
dc.identifier.uri | https://hdl.handle.net/10630/24632 | |
dc.description.abstract | Cement manufacturing is responsible for ~7% of the anthropogenic CO2 emissions and hence, decreasing the CO2 footprint, in a sustainable, safe and cost-effective way, is a top priority. To fully understand the binder main properties and to decrease their CO2 footprints, a sound description of their spatially resolved mineralogy is necessary. Developing this knowledge is very challenging as about half of the volume of hydrated cement is a nanocrystalline component, calcium silicate hydrate (C-S-H) gel. Furthermore, other poorly crystalline phases (e.g. iron siliceous hydrogarnet or silica oxide) coexist. Here, we have used ptychographic X-ray computed tomography (PXCT) for understanding the first days of cement hydration with the final goal to improve the mechanical strength performances of low-CO2 cements. | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Cemento - Congresos | es_ES |
dc.subject | Gases de efecto invernadero - Reducción - Congresos | es_ES |
dc.subject | Cemento - Tomografía - Congresos | es_ES |
dc.subject | Cristalografía por rayos X - Congresos | es_ES |
dc.subject.other | Machine Learning | es_ES |
dc.subject.other | CO2 emission | es_ES |
dc.subject.other | Image Analysis | es_ES |
dc.subject.other | Ptychographic X-ray Imaging | es_ES |
dc.subject.other | Cement | es_ES |
dc.title | 4D Early Age Cement Hydration Analysis by Ptychographic X-ray Computed Tomography and Machine Learning Segmentation | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | Facultad de Ciencias | es_ES |
dc.relation.eventtitle | 5th International Conference on Tomography of Materials & Structures (ICTMS 2022) | es_ES |
dc.relation.eventplace | Grenoble, Francia | es_ES |
dc.relation.eventdate | 27 Junio 2022 | es_ES |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |