Mix Design for Cellular Concrete Applied in Masonry Units Using Decyl Glucoside as a Foaming Agent for Construction in High Andean Cities in 2022

Flores Sánchez Diego Oswaldo, Hermosa Vargas Flor Milagros, Montoya Torres Vladimir Simón

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

The research aimed was to find a suitable mix design of cellular concrete applied in masonry units using decyl glucoside as a foaming agent for construction in high Andean cities, because of the advantages this offers, being the main one, thermal comfort since high Andean cities suffer from low temperatures, meeting the compressive resistance standard for masonry units and reducing the dead load, due to cellular concrete is not currently very commercial. Therefore, this study experiments with seven different proportions of water, cement, fine/coarse sand and a foaming agent to achieve better resistance. The study is of descriptive level in that the experimental method is employed in which we use an observation card; for the mixing process, an industrial cement mixer was used, which allows us to integrate the foaming water with the aggregates. The compressive resistance results were favorable obtaining results of up to 260.7 kg/cm2 and lightening the weight up to about 30% of standard concrete, in the other trials lower compressive resistance were achieved, but with a weight even lighter and also a lower volume. The conclusions determine that it is possible to realize a cellular concrete using decyl glucoside meeting the strength standard for masonry units by achieving reduced volume and weight.

Idioma originalInglés estadounidense
Título de la publicación alojadaOptimization, Learning Algorithms and Applications - 3rd International Conference, OL2A 2023, Revised Selected Papers
EditoresA.I. Pereira, F.P. Fernandes, M.F. Pacheco, J.P. Coelho, José Lima, Armando Mendes
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas101-115
-15
ISBN (versión impresa)9783031530357
DOI
EstadoIndizado - 2024
Evento3rd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023 - Ponta Delgada, Portugal
Duración: 27 set. 202329 set. 2023

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1982 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia3rd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023
País/TerritorioPortugal
CiudadPonta Delgada
Período27/09/2329/09/23

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

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