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Quality assessment for recycling aggregates from construction and demolition waste: An image-based approach for particle size estimation

机译:从建筑和拆除废物中回收骨料的质量评估:基于图像的粒径估算方法

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The size distribution of aggregates has direct and important effects on fundamental properties of construction materials such as workability, strength and durability. The size distribution of aggregates from construction and demolition waste (C&D) is one of the parameters which determine the degree of recy-clability and therefore the quality of such materials. Unfortunately, standard methods like sieving or laser diffraction can be either very time consuming (sieving) or possible only in laboratory conditions (laser diffraction). As an alternative we propose and evaluate the use of image analysis to estimate the size distribution of aggregates from C&D in a fast yet accurate manner. The effectiveness of the procedure was tested on aggregates generated by an existing C&D mechanical treatment plant. Experimental comparison with manual sieving showed agreement in the range 81-85%. The proposed technique demonstrated potential for being used on on-line systems within mechanical treatment plants of C&D.
机译:骨料的粒度分布对建筑材料的基本性能(如可加工性,强度和耐久性)具有直接而重要的影响。建筑废料和拆迁废料(C&D)的骨料的尺寸分布是决定其再利用程度并因此决定其质量的参数之一。不幸的是,诸如筛分或激光衍射之类的标准方法可能非常耗时(筛分),或者仅在实验室条件下才可能(激光衍射)。作为替代方案,我们建议并评估使用图像分析以快速而准确的方式估算C&D聚集体的尺寸分布。对现有C&D机械处理厂产生的骨料测试了该程序的有效性。与手动筛分的实验比较表明,一致性在81-85%的范围内。拟议的技术证明了在C&D机械处理厂的在线系统上使用的潜力。

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