Smartphone Application for Determining the Segregation Index of Lightweight Aggregate Concrete
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Título: | Smartphone Application for Determining the Segregation Index of Lightweight Aggregate Concrete |
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Autor/es: | Tenza-Abril, Antonio José | Compañ, Patricia | Satorre Cuerda, Rosana | Solak, Afonso M. | Gavotti Freschi, Daniel |
Grupo/s de investigación o GITE: | Tecnología de Materiales y Territorio (TECMATER) | Grupo de Investigación en Tecnologías Inteligentes para el Aprendizaje (Smart Learning) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Mobile application | Segregation | Lightweight concrete | Image analysis | Resolution |
Área/s de conocimiento: | Ingeniería de la Construcción | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | 14-nov-2021 |
Editor: | MDPI |
Cita bibliográfica: | Tenza-Abril AJ, Compañ-Rosique P, Satorre-Cuerda R, Solak AM, Gavotti Freschi D. Smartphone Application for Determining the Segregation Index of Lightweight Aggregate Concrete. Sustainability. 2021; 13(22):12564. https://doi.org/10.3390/su132212564 |
Resumen: | Due to the low density of the aggregates and the longer mixing times, lightweight aggregate concrete (LWAC) is susceptible to segregation of the aggregates. Several studies have proposed different methods to estimate the segregation of concrete because segregation affects strength and durability in structures. Image analysis techniques have become very popular for quickly analysing different materials and, together with the widespread use of mobile applications, can make it much easier for engineers to obtain parameters that identify concrete segregation. The aim of this work was the development of a mobile application to photograph the section of a concrete specimen and indicate the segregation values. A simple, fast, and effective application was implemented, and the results were validated with other previously published results, which can facilitate the task of engineers and researchers to determine the segregation of concrete. |
Patrocinador/es: | This research was funded by the University of Alicante, GRE13-03, and VIGROB-256. |
URI: | http://hdl.handle.net/10045/120007 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su132212564 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/su132212564 |
Aparece en las colecciones: | INV - Smart Learning - Artículos de Revistas INV - TECMATER - Artículos de Revistas |
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Tenza-Abril_etal_2021_Sustainability.pdf | 4,26 MB | Adobe PDF | Abrir Vista previa | |
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