...
首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Parameter determination of the Compressible Packing Model (CPM) for concrete application
【24h】

Parameter determination of the Compressible Packing Model (CPM) for concrete application

机译:具体应用中可压缩包装模型(CPM)的参数确定

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The packing density of granular materials is in the centre of interest of many industries. For concrete industry, the packing density of aggregates is the most representative physical parameter of the granular mixtures: it combines the grain size and the morphology of grains. Compressible Packing Model (CPM) accurately predicts packing density by involving three parameters: wall effect coefficient, loosening effect coefficient and compaction index. The identification of these parameters has been made on elementary granular classes (narrow partide size distributions) which can be time consuming and difficult to achieve. In this research work, we have elaborate a strategy to determine CPM parameters for wide partide size distribution of granular mixtures. This allows reducing the number of tests to optimize packing density of granular mixtures. The results of the modelling show a good agreement with the experiment. The work will be undertaken on two typologies of grains: crushed and rolled aggregates. (C) 2019 Elsevier B.V. All rights reserved.
机译:粒状材料的包装密度在许多行业的兴趣中心。对于混凝土行业,聚集体的包装密度是粒状混合物的最具代表性的物理参数:它结合了晶粒的粒度和形态。可压缩包装模型(CPM)通过涉及三个参数来准确地预测包装密度:壁效应系数,松动效果系数和压实指数。已经在基本粒状类(狭窄的辅助尺寸分布)上进行了这些参数的识别,这可能是耗时且难以实现的。在这项研究工作中,我们详细阐述了一种策略来确定颗粒混合物宽偏尺寸分布的CPM参数。这允许减少测试数量以优化颗粒混合物的填充密度。建模结果与实验表现出良好的一致性。这项工作将在两种类型的谷物类型上进行:粉碎和轧制的聚集体。 (c)2019年Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号