吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (03): 613-618.doi: 10.7964/jdxbgxb201303010

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Complexity-based robustness analysis of turbulence model in torque converter flow field simulation

LIU Shu-cheng1, PAN Xin2, WEI Wei1, YAN Qing-dong1, LAI Yu-yang3   

  1. 1. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China;
    2. China Machinery Industry Federation, Beijing 100823, China;
    3. Soyotec Technologies Co., Ltd.,Beijing 100081, China
  • Received:2012-04-24 Online:2013-05-01 Published:2013-05-01

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Abstract: To study the robustness of commonly used turbulence models in flow field simulation of hydrodynamic torque converter, fifteen turbulence models were taken to conduct sampling and calculation in a torque converter flow field simulation system of based on ANSYS/CFX. Using Monte Carlo method, the input variables were slightly disturbed using a normal distribution function. Each turbulence model was sampled 200 times, respectively in low and high calculation speed conditions. According to the complexity measurement theory, the complexity of the acquired input and output variables was analyzed. The robustness of the simulation system and its output variables were calculated, by which the quantitative indicators of robustness for each turbulence model were given. Analysis results show that the shear stress model has the best overall robustness in torque convert flow field simulation.

Key words: fluid mechanics, complexity measurement, robustness, turbulence model

CLC Number: 

  • TH137
[1] Berger J O, Betro B, Moreno E, et.al. Bayesian Robustness: Proceedings of the Workshop on Bayesian robustness[M]. Rimini, Italy, 1995.

[2] 陈艳国, 袁宝远, 赵燕容,等. 回归预测模型的稳健性讨论-以润扬大桥工程为例[J]. 四川地质学报, 2006,26(2): 97-100. Chen Yan-guo, Yuan Bao-yuan, Zhao Yan-rong,et al. Robust estimation of regression calculation model-by the example of the Runyang Bridge engineering[J]. Acta Geologica Sichuan, 2006,26(2): 97-100.

[3] 张学荣, 苏清祖.乘员约束系统参数优化及稳健性分析[J]. 汽车工程,2010,32(12):1053-1056. Zhang Xue-rong,Su Qing-zu.Parameters optimization and robustness analysis of vehicle occupant restraint system[J].Automotive Engineering,2010,32(12):1053-1056.

[4] Lempel A, Ziv J. On the complexity of finite sequences[J]. IEEE Transactions on Information Theory,1976,22(1): 75-81.

[5] Marczyck J, Measuring and tracking complexity//Proceedings of the Sixth International Conference on Complex Systems, Boston, MA,USA: New England Complex Systems Institute.

[6] 赖宇阳,叶芳,Jacek Marczyk. 基于复杂性测度的乘员约束系统仿真模型可信度验证方法//第五届中国系统建模与仿真技术高层论坛, 北京, 2010.

[7] 王福军. 计算流体动力学分析——CFD软件原理与应用[M].北京:清华大学出版社, 2004.

[8] Ansys Inc. ANSYS CFX-Solver Modeling Guide Release 13.0[M]. New York:Ansys Inc,2010.

[9] 刘树成,魏巍,闫清东,等.基于复杂性测度的变矩器流场仿真模型可信度分析[J]. 农业机械学报,2012,43(10):19-24. Liu Shu-cheng, Wei Wei, Yan Qing-dong, et al. Credibility analysis of simulation model for torque converters based on complexity measurement[J]. Transactions of the Chinese Society for Agricultural Machinery, 2012,43(10):19-24.

[10] Stylios C D, Groumpos P P. Fuzzy cognitive map in modeling supervisory control systems[J]. Journal of Intelligent and Fuzzy Systems,2000,18(2): 83-98.

[11] Soyotec Inc. Ontospace 2010 User Guide[M].New York:Soyotec Inc,2010.
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