4.7 Article

Revolutionizing granular matter simulations by high-performance ray tracing discrete element method for arbitrarily-shaped particles

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2023.116370

关键词

Discrete element method; Discrete potential field; Arbitrary shape; Ray tracing

向作者/读者索取更多资源

This paper presents a novel approach, called Ray Tracing Discrete Element Method (RTDEM), for efficiently simulating particles with arbitrary shapes. The method uses a triangular mesh and template meshes, along with ray tracing-based algorithms and discrete potential field functions, to accurately and efficiently detect and resolve contacts between the particles.
It remains a challenge for discrete element method to simulate large-scale systems with arbitrarily shaped particles. This paper presents a novel approach called Ray Tracing Discrete Element Method (RTDEM) to offer ultra-high efficiency in simulating particles with arbitrary shapes. In RTDEM, we use a triangular mesh to represent the surface of a particle for greater flexibility in shape representation. Template meshes are further introduced to group particles of different shapes to save computing memory. Key to RTDEM are innovative ray tracing-based algorithms specially designed for accurate and efficient contact detection and resolution between arbitrarily shaped particles. Based on the RT algorithms, discrete potential field functions are further proposed for the discrete mesh vertices and facets to define energy-conservative contact models that include vertex-potential, facet-potential models, and their combination. The integration of these key elements into RTDEM offers a whole new DEM framework that readily empowers any parallel computing architecture for high acceleration on granular media modeling. It matches particularly well with the Graphics Processing Units (GPUs) to fully unleash the computing power of ray tracing cores for large-scale DEM simulations of arbitrarily shaped particles, even on a personal computer with a common gaming GPU card.(c) 2023 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据