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Fourier series-based discrete element method for computational mechanics of irregular-shaped particles

机译:基于傅立叶级数的离散单元法求解异形颗粒

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Many natural and engineered granular materials consist mainly of irregular-shaped non-spherical particles. In this work, a novel Fourier series-based Discrete Element Method (FS-DEM) is developed for the computational mechanics of irregular-shaped particles. In FS-DEM, Fourier series-based particle geometric description and coordinate representation are introduced, where particle shapes are implicitly determined by FS coefficients, which remain constant and are independent of particle positions or kinematics. Using the FS-based particle representation, contact detection and resolution algorithms are then developed to identify contacts and resolve contact geometric features. The FS-DEM method is completed with recourse to conventional contact behavior, laws of motion, and movement integration. The accuracy and computational efficiency of the FS-DEM framework are evaluated via three numerical examples and compared with the Overlapping Discrete Element Cluster-based DEM method. Results demonstrate the robust and superior performance of the FS-DEM method and its potential for efficient computational modeling of irregular-shaped particle systems. (C) 2020 Elsevier B.V. All rights reserved.
机译:许多天然和工程颗粒材料主要由不规则形状的非球形颗粒组成。在这项工作中,一种新颖的基于傅立叶级数的离散元素方法(FS-DEM)被开发用于不规则形状颗粒的计算力学。在FS-DEM中,引入了基于傅里叶级数的粒子几何描述和坐标表示,其中粒子形状由FS系数隐式确定,FS系数保持不变并且与粒子位置或运动学无关。使用基于FS的粒子表示,然后开发了接触检测和分辨率算法来识别接触并解析接触几何特征。依靠常规的接触行为,运动定律和运动积分来完成FS-DEM方法。通过三个数值示例评估了FS-DEM框架的准确性和计算效率,并将其与基于重叠离散元素聚类的DEM方法进行了比较。结果证明了FS-DEM方法的强大和优越的性能,以及其对不规则形状的粒子系统进行有效计算建模的潜力。 (C)2020 Elsevier B.V.保留所有权利。

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