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论文成果
复杂轮廓实体内级配随机颗粒的受控填充算法
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论文类型: 期刊论文
发表时间: 2022-06-29
发表刊物: 计算机辅助设计与图形学学报
所属单位: 建设工程学部
期号: 11
页面范围: 1521-1526
ISSN号: 1003-9775
摘要: Under the objective statistical conditions of grain filling ratio and grading curve for grain size, we propose an improved two-step modeling procedure to effectively fill a 2D or 3D non-regular solid body with a mass of random grains. It first partitions the complex solid body into fine regular cells, which provides an intermediate structure for the grain filling and makes the locating of grains much easy. Then, an iterative adjustment process is performed to remove the overlaps between adjacently located grains based on their enclosing boxes. We tested our algorithm by simulating the generation of concrete meso-mechanics models, experimental results show that, compared to other filling method, our algorithm achieves better efficiency and feasibility, it is adaptive to random grains of different shape and different size and gets rid of the convex shape limit of the grains.
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陈健云

教授   博士生导师   硕士生导师

性别: 男

毕业院校:大连理工大学

学位: 博士

所在单位:水利工程系

学科:水工结构工程. 防灾减灾工程及防护工程. 结构工程. 工程管理

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