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提出一种基于图像分析的新方法来估算轻集料混凝土的离析指数。

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

作者信息

Solak Afonso Miguel, Tenza-Abril Antonio José, Baeza-Brotons Francisco, Benavente David

机构信息

Department of Civil Engineering, University of Alicante, 03080 Alicante, Spain.

CYPE Ingenieros S.A., 03003 Alicante, Spain.

出版信息

Materials (Basel). 2019 Nov 5;12(21):3642. doi: 10.3390/ma12213642.

Abstract

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.

摘要

这项工作提出了五种不同的方法来量化轻骨料混凝土(LWAC)中的离析现象。使用轻骨料混凝土可实现更大的设计灵活性并大幅节省成本,且对建筑物的能源消耗有积极影响。然而,这些材料易发生骨料离析,这会导致轻骨料在混合物中分布不均,并可能影响混凝土性能。为了量化这一关键过程,提出了一种基于图像分析的新方法,并将其结果与成熟的密度测量法和超声脉冲速度测量法进行比较。结果表明,超声测试法的准确性低于其他研究方法,尽管它是一种无损检测方法,操作简便且无需对材料进行表征。通过图像分析的新方法与其他方法具有很强的相关性,它考虑了样品整个截面的信息,并且不需要对试件进行水平切割或对材料进行表征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/124a/6862299/16e0f1c3775f/materials-12-03642-g0A1.jpg

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