Advancing front packing of polygons based on Minkowski sum

Peng Zhang, Qingjun Xian, Junqi Chen
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Abstract

It is an important research topic to study the mechanical properties of rockfill from a meso-level perspective using numerical methods. And the formation of initial set of rockfill particles, represented by polygons/polyhedrons, is a key step in numerical simulation. Advancing front algorithm is an efficient formation algorithm, the locus in it is designed to determine the position of a new particle. We found Minkowski sum and locus polygon can be transformed into other. There are a few of research on locus polygon, but a lot of researches on Minkowski sum, so Minkowski sum algorithms can be used to enrich advancing front algorithm. Therefore, advancing front packing algorithm for polygons based on Minkowski sum is proposed, which can obtain a random initial packing of polygons efficiently and can achieve a higher area fraction.
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基于闵可夫斯基和的多边形前填充算法
利用数值方法从细观角度研究堆石料的力学特性是一个重要的研究课题。以多边形/多面体为代表的堆石颗粒初始集的形成是数值模拟的关键步骤。前进前沿算法是一种高效的编队算法,它的轨迹用于确定新粒子的位置。我们发现闵可夫斯基和与轨迹多边形可以相互转化。目前对轨迹多边形的研究较少,而对闵可夫斯基和的研究较多,因此闵可夫斯基和算法可以用来丰富推进前沿算法。为此,提出了基于Minkowski和的多边形推进前填充算法,该算法可以有效地获得多边形的随机初始填充,并能获得较高的面积分数。
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