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Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes
dc.contributor.author | Rojo-López, Gemma | |
dc.contributor.author | González-Fonteboa, Belén | |
dc.contributor.author | Pérez Ordóñez, Juan Luis | |
dc.contributor.author | Martínez-Abella, Fernando | |
dc.date.accessioned | 2024-05-27T19:00:24Z | |
dc.date.available | 2024-05-27T19:00:24Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Rojo-López, G., González-Fonteboa, B., Pérez-Ordóñez, J. L., & Martínez-Abella, F. (2024). Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes. Journal of Building Engineering, 88, 109186. https://doi.org/10.1016/j.jobe.2024.109186 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/36652 | |
dc.description.abstract | [Abstract:] This study focused on pastes that incorporate metakaolin, biomass ash, and granite powder as supplementary cementitious materials to obtain specific expressions to predict rheological properties in pastes and to define the most appropriate dosage parameters using genetic programming. For this purpose, a dataset was developed following a central composite design, and some fresh properties were measured: Marsh cone and rheological properties, such as yield stress and plastic viscosity. The models generated by genetic programming presented robust statistical indices for the properties studied. The influence of supplementary cementitious materials on rheological properties was also analysed through a parametric analysis. After analysing the factors affecting paste rheology, it was concluded that the most important aspects affecting fresh behaviour were water demand and particle interaction, as well as the relation between both effects. | es_ES |
dc.description.sponsorship | This study is part of two projects entitled: “Design of sustainable concrete for 3D printing based on rheology and on the control of very early properties (Eco3DConcrete)- PID2020-115433RB-I00”, “Design of concrete precast elements incorporating sustainable strategies for self-healing to increase their service life (PREHEALING)- PDC2021-121660-I00” and "Exploiting the synergic effects between 3D printing and self-healing technologies to design sustainable and durable concrete (3DHealConcrete) - TED2021-129757B–I00" funded by MINECO. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115433RB-I00/ES/DISEÑO DE HORMIGON MAS SOSTENIBLE PARA IMPRESION 3D BASADO EN LA REOLOGIA Y EL CONTROL DE PROPIEDADES A MUY CORTAS EDADES | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-121660-I00/ES/DISEÑO DE PREFABRICADOS DE HORMIGON EMPLEANDO ESTRATEGIAS SOSTENIBLES DE AUTO REPARACION PARA INCREMENTO DE SU VIDA UTIL | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129757B–I00/ES | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.jobe.2024.109186 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Biomass ash | es_ES |
dc.subject | Granite powder | es_ES |
dc.subject | Metakaolin | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.subject | Parametric analysis | es_ES |
dc.title | Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of Building Engineering | es_ES |
UDC.volume | 88 | es_ES |
UDC.startPage | 109186 | es_ES |
dc.identifier.doi | 10.1016/j.jobe.2024.109186 |