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颗粒材料离散颗粒模型的数值模拟结果与颗粒材料的数值样本密切相关,随着离散单元在颗粒材料数值模拟领域的广泛应用,颗粒材料的数值样本生成技术日益受到重视。基于RSA模型研究如何使随机生成的颗粒材料更密实,对均匀颗粒而言亦即如何在指定区域内生成更多的颗粒,讨论了4类修正方案,并建议了一种基于坐标排序的样本生成技术。研究表明,在传统的颗粒体随机生成技术基础上,通过对随机生成的x坐标序列或y坐标序列进行排序,可使生成的颗粒材料数值样本更密实。
The numerical simulation results of discrete particle model of granular materials are closely related to the numerical samples of granular materials. With the wide application of discrete elements in the field of numerical simulation of granular materials, the numerical sample generation technology of granular materials is paid more and more attention. Based on the RSA model, we study how to make the randomly generated granular material more compact. For uniform particles, ie, how to generate more particles in a given area, four kinds of correction schemes are discussed and a sample generation based on coordinate ordering is proposed technology. The research shows that on the basis of the traditional random generation of granular bodies, numerical samples of the generated granular materials can be denser by sorting randomly generated x-coordinate sequences or y-coordinate sequences.