Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Solak, Afonso Miguel, Tenza-Abril, Antonio José, Baeza-Brotons, Francisco, Benavente, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862299/
https://www.ncbi.nlm.nih.gov/pubmed/31694271
http://dx.doi.org/10.3390/ma12213642
_version_ 1783471522756689920
author Solak, Afonso Miguel
Tenza-Abril, Antonio José
Baeza-Brotons, Francisco
Benavente, David
author_facet Solak, Afonso Miguel
Tenza-Abril, Antonio José
Baeza-Brotons, Francisco
Benavente, David
author_sort Solak, Afonso Miguel
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6862299
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68622992019-12-05 Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes Solak, Afonso Miguel Tenza-Abril, Antonio José Baeza-Brotons, Francisco Benavente, David Materials (Basel) Article 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. MDPI 2019-11-05 /pmc/articles/PMC6862299/ /pubmed/31694271 http://dx.doi.org/10.3390/ma12213642 Text en © 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/).
spellingShingle Article
Solak, Afonso Miguel
Tenza-Abril, Antonio José
Baeza-Brotons, Francisco
Benavente, David
Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title_full Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title_fullStr Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title_full_unstemmed Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title_short Proposing a New Method Based on Image Analysis to Estimate the Segregation Index of Lightweight Aggregate Concretes
title_sort proposing a new method based on image analysis to estimate the segregation index of lightweight aggregate concretes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862299/
https://www.ncbi.nlm.nih.gov/pubmed/31694271
http://dx.doi.org/10.3390/ma12213642
work_keys_str_mv AT solakafonsomiguel proposinganewmethodbasedonimageanalysistoestimatethesegregationindexoflightweightaggregateconcretes
AT tenzaabrilantoniojose proposinganewmethodbasedonimageanalysistoestimatethesegregationindexoflightweightaggregateconcretes
AT baezabrotonsfrancisco proposinganewmethodbasedonimageanalysistoestimatethesegregationindexoflightweightaggregateconcretes
AT benaventedavid proposinganewmethodbasedonimageanalysistoestimatethesegregationindexoflightweightaggregateconcretes