| 講演抄録／キーワード |
| 講演名 |
2021-10-28 10:00
Two-dimensional multi-size particle sampling based on minimum porosity
○Xu Wang・Makoto Fujisawa・Masahiko Mikawa（Univ. of Tsukuba） |
| 抄録 |
（和） |
(まだ登録されていません) |
| （英） |
This paper proposes a sampling algorithm for multi-size particles within an arbitrary 2D shape using a Voronoi tessellation. In order to sample as numerous particles as possible within a limited space, we offer a novel minimum porosity-driven algorithm capable of optimizing the existing Voronoi tessellation method. This technique ensures no overlapping between particles while increasing the particle sampling density for physics simulation. Moreover, our method allows users to set the target particle-size distribution by a pre-designed cumulative distribution function and limits the errors to a certain degree after the optimization process. We also demonstrate the applicability of this method in physical simulations, such as the Discrete Element Method. |
| キーワード |
（和） |
/ / / / / / / |
| （英） |
Multi-Size Particle Sampling / Minimum Porosity / Power Diagram / Discrete Element Method / / / / |
| 文献情報 |
映情学技報, vol. 45, pp. 31-34, 2021年10月. |
| 資料番号 |
|
| 発行日 |
2021-10-20 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| PDFダウンロード |
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