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基于多重点云与分级聚合的全级配混凝土三维细观结构高效生成方法
引用本文:徐磊,姜磊,周昌巧,任青文. 基于多重点云与分级聚合的全级配混凝土三维细观结构高效生成方法[J]. 水利学报, 2022, 53(2): 188-199
作者姓名:徐磊  姜磊  周昌巧  任青文
作者单位:河海大学 水利水电学院, 江苏 南京 210098
基金项目:国家自然科学基金项目(51979092,U1765204,51739006)
摘    要:本文提出了一种高骨料含量全级配混凝土三维细观结构高效生成方法。通过建立包含各粒级随机骨料的分级骨料库,实现了所需骨料的快速选取;提出在连续投放域内构建具有空间结构的多重点云,大幅提高了全级配混凝土三维细观结构的生成效率;通过骨料分级聚合弥补了各粒级中少量骨料投放失败造成的骨料体积损失。实例以及与其他方法的对比分析表明,采用本文方法可在满足设计级配要求的前提下,高效生成骨料体积含量达60%以上的全级配混凝土三维细观结构,为开展全级配混凝土细观精细仿真奠定了基础。

关 键 词:全级配混凝土  三维细观结构  多重点云  分级聚合
收稿时间:2021-08-07

Efficient generation approach of 3D mesostructure of fully-graded concrete based on multilevel point cloud and multi-clustering
XU Lei,JIANG Lei,ZHOU Changqiao,REN Qingwen. Efficient generation approach of 3D mesostructure of fully-graded concrete based on multilevel point cloud and multi-clustering[J]. Journal of Hydraulic Engineering, 2022, 53(2): 188-199
Authors:XU Lei  JIANG Lei  ZHOU Changqiao  REN Qingwen
Affiliation:College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Abstract:An efficient generation approach of the 3D mesostructure of fully-graded concrete with high coarse aggregate volume content is presented in this paper. Through establishing the random aggregate tank for each grading segment in advance, the rapid aggregate selection can be achieved. The multilevel point cloud with spatial structure is constructed within the specimen, which can greatly improve the 3D mesostructure generation efficiency of fully-graded concrete. In addition, the aggregate volume loss caused by a small amount of failed aggregates can be compensated by taking use of the proposed aggregate multi-clustering technique. A practical example and comparative analysis show that the proposed method can efficiently generate the 3D mesostructure of fully-graded concrete with aggregate volume content of more than 60% on the premise of satisfying the requirement of the grading design, which can provide a solid foundation for the fine mesoscale simulation of fully-graded concrete.
Keywords:fully-graded concrete  3D mesostructure  multilevel point cloud  multi-clustering
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