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Application of Image Analysis to Identify Quartz Grains in Heavy Aggregates Susceptible to ASR in Radiation Shielding Concrete

机译:图像分析在识别辐射屏蔽混凝土中ASR敏感的重骨料中的石英晶粒的应用

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摘要

Alkali-silica reaction (ASR) is considered as a potential aging-related degradation phenomenon that might impair the durability of concrete in nuclear containments. The objective of this paper is the application of digital analysis of microscopic images to identify the content and size of quartz grains in heavy mineral aggregates. The range of investigation covered magnetite and hematite aggregates, known as good absorbers of gamma radiation. Image acquisition was performed using thin sections observed in transmitted cross-polarized light with λ plate. Image processing, consisting of identification of ferrum oxide and epoxy resin, and the subsequent application of a set of filtering operations resulted in an adequate image reduction allowing the grain size analysis. Quartz grains were classified according to their mean diameter so as to identify the reactive range. Accelerated mortar bar tests were performed to evaluate the ASR potential of the aggregates. The SiO2 content in the heavyweight aggregates determined using the image analysis of thin sections was similar to XRF test result. The content of reactive quartz hematite was 2.7%, suggesting that it would be prone to ASR. The expansion test, according to ASTM C1260, confirmed the prediction obtained using the digital image analysis.
机译:碱-二氧化硅反应(ASR)被认为是一种潜在的与老化相关的降解现象,可能会损害混凝土在核安全壳中的耐久性。本文的目的是应用显微图像的数字分析来确定重矿物集合体中石英颗粒的含量和大小。研究范围涉及磁铁矿和赤铁矿聚集体,被称为伽马射线的良好吸收剂。使用在具有λ平板的透射交叉偏振光中观察到的薄部分进行图像采集。图像处理(包括氧化铁和环氧树脂的识别)以及随后一系列过滤操作的应用导致足够的图像缩小,从而可以进行粒度分析。石英晶粒根据其平均直径进行分类,以确定反应范围。进行加速砂浆棒测试以评估骨料的ASR潜力。通过薄壁图像分析确定的重骨料中的SiO2含量与XRF测试结果相似。反应性石英赤铁矿的含量为2.7%,表明它容易发生ASR。根据ASTM C1260进行的膨胀试验证实了使用数字图像分析获得的预测。

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