Estimating the Deterioration due to Chemical Attack in Repurposed Aggregate Concrete Using Image Based Techniques

Rathish Kumar Pancharathi, Madhavi Latha Kasulanati
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Abstract

The increased construction activities necessitate use of alternate material resources as recycled aggregates in construction. The decreased quality of concrete during the recycling process can be modified by several methods of which, strengthening the aggregate skeleton in the volume of concrete is an ideal option. In the present work, Compressible Packing Model (CPM) of particle packing methodologies is adopted for aggregate gradation and design of concrete mixes. Hardened and durability properties of a 30 MPa concrete designed using CPM method is being investigated. The deterioration in concrete is analysed using Image analysis. The Hue, Saturation and Intensity are the parameters picked from the surface images of concrete cubes exposed to four chemical species viz., HCl, H2SO4, NaCl and MgSO4 for 28 days. CPM method improves the properties of multi recycled concrete with increased packing density of recycled aggregate. The image-based deterioration studies provided a new insight into estimating the durability performance of concrete subjected to attack of various chemical species.
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利用基于图像的技术估算再利用骨料混凝土中因化学侵蚀造成的劣化情况
随着建筑活动的增加,有必要在建筑中使用再生骨料等替代材料资源。在回收过程中混凝土质量下降的问题可以通过多种方法来解决,其中加强混凝土体积中的骨料骨架是一种理想的选择。在本研究中,骨料级配和混凝土拌合物设计采用了颗粒堆积方法的可压缩堆积模型(CPM)。采用 CPM 方法设计的 30 兆帕混凝土的硬化和耐久性能正在接受研究。采用图像分析法对混凝土的劣化情况进行了分析。色调、饱和度和强度是从暴露于四种化学物质(即 HCl、H2SO4、NaCl 和 MgSO4)28 天的混凝土立方体的表面图像中提取的参数。随着再生骨料堆积密度的增加,CPM 方法可改善多元再生混凝土的性能。基于图像的劣化研究为评估混凝土在各种化学物质侵蚀下的耐久性能提供了新的视角。
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