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Numerical Optimization Algorithm for Unsteady Flows of Rotor Based on Web Service

Jilin Zhang1,4,5, Xuechao Liu1,5, Jian Wan2,1,5, Yongjian Ren1,5, Binglin Xu1,5, Jianfan He1,5, Yuchen Fan1,5, Li Zhou1,5, Zhenguo Wei6, Juncong Zhang6, Jue Wang3

1 School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
2 Zhejiang University of Science and Technology, Hangzhou 310023, China
3 Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
4 State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
5 Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou 310018, China
6 Zhejiang Dawning Information Technology Co., Ltd, Hangzhou 310051, China

* Corresponding Author: Jian Wan, email

Intelligent Automation & Soft Computing 2019, 25(3), 527-546.


A numerical optimization algorithm for unsteady flows of rotor based on web service is proposed. Space discretization uses the finite volume method, time discretization uses the implicit dual-time steps method, and turbulence model uses the Spalart–Allmaras (S–A) model. In order to efficiently use the computing resources of the cluster, a service-oriented service computing architecture is used in a parallel computing service program. In order to realize the load balance of hybrid grid partition, the grid is partitioned by Metis Library. Meanwhile, data communication based on Message Passing Interface (MPI) technology guarantees the consistency of convergence between parallel algorithm and serial algorithm and establishes virtual boundaries for each partition to ensure data exchange among partitions. By simulating the forward flight state of the Robin fuselage/rotor model, the experimental results coincide with the serial program, and the parallel efficiency is high.


Cite This Article

J. Zhang, X. Liu, J. Wan, Y. Ren, B. Xu et al., "Numerical optimization algorithm for unsteady flows of rotor based on web service," Intelligent Automation & Soft Computing, vol. 25, no.3, pp. 527–546, 2019.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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