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

机译:基于图像分析的提出一种新方法来估算轻质骨料混凝土的分离指标

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摘要

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.
机译:这项工作提出了五种不同的方法,用于量化轻质骨料混凝土中的分离现象(LWAC)。 LWAC的使用允许更大的设计灵活性和大量成本节省,并对建筑物的能源消耗产生积极影响。然而,这些材料易于聚集的偏析,这导致混合物中的轻质聚集体的不规则分布,并可能影响混凝土性质。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,并将其结果与良好的密度和超声波脉冲速度测量进行了比较。结果表明,超声波试验方法比其他研究方法呈较低的精度,尽管它是一种非破坏性测试,易于执行,并且不需要材料表征。通过图像分析的新方法与其他方法具有很强的相关性,它考虑了来自样本的完整部分的信息,并且它不需要样本或材料表征的水平切割。

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