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Open AccessFeature PaperArticle

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

1
Department of Civil Engineering, University of Alicante, 03080 Alicante, Spain
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CYPE Ingenieros S.A., 03003 Alicante, Spain
3
Department of Earth and Environmental Sciences, University of Alicante, 03080 Alicante, Spain
*
Author to whom correspondence should be addressed.
Materials 2019, 12(21), 3642; https://doi.org/10.3390/ma12213642
Received: 18 October 2019 / Revised: 30 October 2019 / Accepted: 1 November 2019 / Published: 5 November 2019
(This article belongs to the Special Issue Advances in Lightweight Aggregate Concrete)
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. View Full-Text
Keywords: lightweight aggregate concretes (LWAC); segregation; image analysis; ultrasonic tests; segregation index lightweight aggregate concretes (LWAC); segregation; image analysis; ultrasonic tests; segregation index
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Solak, A.M.; Tenza-Abril, A.J.; 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, 3642.

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