Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes

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Título: Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
Autor/es: Solak, Afonso M. | Tenza-Abril, Antonio José | Baeza Brotons, Francisco | Benavente, David
Grupo/s de investigación o GITE: Tecnología de Materiales y Territorio (TECMATER) | Ingeniería del Terreno y sus Estructuras (InTerEs) | Petrología Aplicada
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente
Palabras clave: Lightweight aggregate concretes (LWAC) | Segregation | Image analysis | Ultrasonic tests | Segregation index
Área/s de conocimiento: Ingeniería de la Construcción | Petrología y Geoquímica
Fecha de publicación: 5-nov-2019
Editor: MDPI
Cita bibliográfica: Solak AM, Tenza-Abril AJ, Baeza-Brotons F, Benavente D. Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes. Materials. 2019; 12(21):3642. doi:10.3390/ma12213642
Resumen: This work presents five different methods for quantifying the segregation phenomenon in lightweight aggregate concretes (LWAC). The use of LWACs allows greater design flexibility and substantial cost savings, and has a positive impact on the energy consumption of a building. However, these materials are susceptible to aggregate segregation, which causes an irregular distribution of the lightweight aggregates in the mixture and may affect the concrete properties. To quantify this critical process, a new method based on image analysis is proposed and its results are compared to the well-established methods of density and ultrasonic pulse velocity measurement. The results show that the ultrasonic test method presents a lower accuracy than the other studied methods, although it is a nondestructive test, easy to perform, and does not need material characterization. The new methodology via image analysis has a strong correlation with the other methods, it considers information from the complete section of the samples, and it does not need the horizontal cut of the specimens or material characterization.
Patrocinador/es: This research was funded by the University of Alicante ((GRE13-03) and (VIGROB-256)).
URI: http://hdl.handle.net/10045/98375
ISSN: 1996-1944
DOI: 10.3390/ma12213642
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2019 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 (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/ma12213642
Aparece en las colecciones:INV - TECMATER - Artículos de Revistas
INV - INTERES - Artículos de Revistas
INV - PETRA - Artículos de Revistas
INV - BIMAEC - Artículos de Revistas

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