计算机工程 ›› 2017, Vol. 43 ›› Issue (12): 45-50.doi: 10.3969/j.issn.1000-3428.2017.12.008

• 体系结构与软件技术 • 上一篇    下一篇

基于高性能并行计算的旋转网球空气动力学模拟

张青 a,王珂 b,张春艳 a,张强 c   

  1. (中国矿业大学 a.体育学院; b.计算机科学与技术学院; c.安全工程学院,江苏 徐州 221116)
  • 收稿日期:2017-06-12 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:张青(1968—),女,副教授,主研方向为高性能计算、体育教学与训练;王珂,副教授;张春艳、张强,硕士研究生。
  • 基金项目:
    教育部人文社会科学研究规划基金(14YJA890015)。

Aerodynamics Simulation for Rotational Tennis Based on High-performance Parallel Computation

ZHANG Qing  a,WANG Ke  b,ZHANG Chunyan  a,ZHANG Qiang  c   

  1. (a.School of Sport; b.School of Computer Science and Technology; c.School of Safety Engineering,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)
  • Received:2017-06-12 Online:2017-12-15 Published:2017-12-15

摘要: 基于曙光5000A高性能并行集群架构和软硬件环境,采用计算流体力学方法,针对旋转物体特有的马格努斯力作用,应用Realizable k-ε湍流模型,研究网球在不同球速和转速条件下周围流场压力分布及网球表面压力分布特性,并提出一种旋转网球空气动力学模拟方法。通过增加网球旋转加大上下表面压力差,增强马格努斯效应使网球急坠,球速增加造成周围气体流态紊乱,使得网球可控性变差,阻力和升力系数分别随网球球速和旋转速度增加而增加。实验结果表明,多核并行计算可有效提高计算精度和运算效率。

关键词: 高性能计算, 并行计算, 网球, 空气动力学, 数值模拟

Abstract: Based on the cluster architecture,hardware and software of Shuguang 5000A,the computational fluid dynamics method is used to investigate pressure distribution around the tennis surface under various speeds and rotational velocities.For the simulation study,the Realizable k-ε turbulence model is utilized specially for the Magnus force of rotational tennis, a rotaling tennis aerodynamics simulation method is proposed.The air-pressure difference between the upper and lower surface of tennis increases with the increase of rotational velocity,and the enhanced Magnus effect makes the tennis fall down immediately.The increase of ball speed decreases the controllability of tennis and leads to the disorder of air flow around tennis.The drag coefficient and lift coefficient increase with the increase of ball speed and a bigger rotational velocity.Experimental results show that the computational accuracy and efficiency can be improved by the multinuclear parallel computation.

Key words: high-performance computation, parallel computation, tennis, aerodynamics, numerical simulation

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