2021
DOI: 10.1002/nme.6774
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A new constructive algorithm for random polydisperse dense disk pack generation

Abstract: This article presents a novel strategy for the non-overlapping disk-packing problem for generating dense random assemblies. The proposed geometric algorithm adopts an advancing-front approach that uses novel heuristics to determine the next positions for incoming particles with support from a polygonal mesh. Additionally, we propose strategies to improve generation at the pack's interior and near container borders. Experiments demonstrate that our algorithm outperforms previous methods in terms of the desired … Show more

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Cited by 3 publications
(4 citation statements)
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References 57 publications
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“…Also assume that đ›Œ n and 𝜆 n can be determined from a desired probability distribution function (PDF), such as the uniform, Gaussian or lognormal distribution. 19 The process of generating a new polygon is illustrated using a triangle in Figure 5, where a circumscribed disc is also assigned to the polygon (i.e., triangle). The radii of the circumscribed discs for the reference polygon P ref and the generated polygon P n are r ref and 𝜆 n r ref , respectively.…”
Section: Geometric Description Of Convex Polygonsmentioning
confidence: 99%
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“…Also assume that đ›Œ n and 𝜆 n can be determined from a desired probability distribution function (PDF), such as the uniform, Gaussian or lognormal distribution. 19 The process of generating a new polygon is illustrated using a triangle in Figure 5, where a circumscribed disc is also assigned to the polygon (i.e., triangle). The radii of the circumscribed discs for the reference polygon P ref and the generated polygon P n are r ref and 𝜆 n r ref , respectively.…”
Section: Geometric Description Of Convex Polygonsmentioning
confidence: 99%
“…As a result, all polygons have an identical aspect ratio. Also assume that αn$$ {\alpha}_n $$ and λn$$ {\lambda}_n $$ can be determined from a desired probability distribution function (PDF), such as the uniform, Gaussian or lognormal distribution 19 …”
Section: Advancing Front Approach: the Closed Formmentioning
confidence: 99%
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