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基于GPU的图形学加速算法在离散元法中的应用

APPLICATION OF GPU-BASED GRAPHICS ACCELERATION ALGORITHM IN DISCRETE ELEMENT METHOD
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摘要 颗粒离散元法是一种广泛应用于研究颗粒物料力学行为的数值模拟方法,而计算效率是制约其发展和应用的主要因素之一。通过Pro/E软件建立了料斗模型,利用Stream DEM软件对料斗的颗粒充填过程进行离散元法模拟研究,并对基于CPU和GPU加速算法的运算过程和结果进行对比。结果表明,基于GPU的计算机图形学加速算法可大幅提高颗粒离散元法模拟过程的运算效率。当填充颗粒数量达到13万时,其运算效率比基于CPU的运算效率提高了10倍以上。 Particle discrete element method is a kind of numerical simulation method widely used in the research of granular material mechanics behaviour. Computation efficiency is one of the main factors that restricts its development and application. In this paper, we build a hopper model by using Pro/E software, and use Stream DEM software to study the stimulations of discrete element method in regard to hopper, s particles filling process. We also compare the operation processes and results of CPU-based and GPU-based acceleration algorithms.Results show that the GPU-based computer graphics acceleration algorithm can dramatically improve the computation efficiency of the simulation process of particle discrete element method. When the number of particles to be filled reaches 130 000, its computational efficiency improves over 10 times than that of the CPU-based acceleration algorithm.
作者 鲍春永 赵啦啦 刘万英 杨康康 Bao Chunyong;Zhao Lala;Liu Wanying;Yang Kangkang(School of Mechanical and Electrical Engineering, China University of Mining and Technology ,Xuzhou 221008, Jiangsu, China)
出处 《计算机应用与软件》 CSCD 2016年第6期73-75,共3页 Computer Applications and Software
基金 国家自然科学基金青年科学基金项目(51204181) 高等学校博士学科点专项科研基金项目(20110095120004) 中国博士后科学基金项目(20110491485 2013T60576) 中央高校基本科研业务费专项资金项目(2011QNA10) 江苏高校优势学科建设工程课题
关键词 离散元法 图形学算法 GPU CPU Discrete element method Graphics algorithm GPU CPU
作者简介 鲍春永,硕士生,主研领域:计算机图形学理论,离散元法模拟。;赵啦啦,副教授。;刘万英,硕士生。;杨康康,硕士生。
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