Volume 29 Issue 9
Sep.  2014
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XU Sheng-li, LIU Hai-tao, WANG Xiao-fang, SONG Yang. Mass optimization of turbine disk based on sequential sampling algorithm[J]. Journal of Aerospace Power, 2014, 29(9): 2097-2103. doi: 10.13224/j.cnki.jasp.2014.09.012
Citation: XU Sheng-li, LIU Hai-tao, WANG Xiao-fang, SONG Yang. Mass optimization of turbine disk based on sequential sampling algorithm[J]. Journal of Aerospace Power, 2014, 29(9): 2097-2103. doi: 10.13224/j.cnki.jasp.2014.09.012

Mass optimization of turbine disk based on sequential sampling algorithm

doi: 10.13224/j.cnki.jasp.2014.09.012
  • Received Date: 2013-05-22
  • Publish Date: 2014-09-28
  • A sequential sampling algorithm based on Monte Carlo-based space reduction and local boundary search was introduced. This algorithm utilized the information of the current samples to reduce the design space in order to generate new samples with better space-filling and projective properties. The comparative results with existing sequential sampling algorithm demonstrate that this algorithm can efficiently generate better samples. This sequential sampling algorithm combined with Kriging model and genetic algorithm was used in the mass optimization of turbine disk, obtaining mass reduction of 10%. The results show that this sequential sampling algorithm provides a flexible and efficient approach for the engineering structure optimization.

     

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  • [1]
    Gu L.A comparison of polynomial based regression models in vehicle safety analysis[R].Pittsburgh:ASME Design Engineering Technical Conferences and Design Automation Conference,2001.
    [2]
    Cressie N.Spatial prediction and ordinary Kriging[J].Mathematical Geology,1988,20(4):405-421.
    [3]
    Dyn N,Levin D,Rippa S.Numerical procedures for surface fitting of scattered data by radial functions[J].Journal on Scientific and Statistical Computing,1986,7(2):639-659.
    [4]
    Fang H,Horstemeyer M F.Global response approximation with radial basis functions[J].Engineering Optimization,2006,38(4):407-424.
    [5]
    殷艺云,郭海丁.基于粒子群神经网络的轮盘优化[J].航空动力学报,2007,22(9):1578-1582. YIN Yiyun,GUO Haiding.Optimization of turbine disk based on particle swarm optimization and neural network[J].Journal of Aerospace Power,2007,22(9):1578-1582.(in Chinese)
    [6]
    黄章俊,王成恩.基于 Kriging 模型的涡轮盘优化设计方法[J].计算机集成制造系统,2010,16(5):905-911. HUANG Zhangjun,WANG Chengen.Turbine discs optimization design based on Kriging model[J].Computer Integrated Manufacturing System,2010,16(5):905-911.(in Chinese)
    [7]
    李铁柱,李光耀,陈涛,等.基于 Kriging 近似模型的汽车乘员约束系统稳健性设计[J].机械工程学报,2010,46(22):123-129. LI Tiezhu,LI Guangyao,CHEN Tao,et al.Robustness design of occupant restraint system based on Kriging model[J].Chinese Journal of Mechanical Engineering,2010,46(22):123-129.(in Chinese)
    [8]
    Xiong F,Xiong Y,Chen W,et al.Optimizing latin hypercube design for sequential sampling of computer experiments[J]. Engineering Optimization,2009,41(8):793-810.
    [9]
    Myers R H,Montgomery D C,Anderson-Cook C M.Response surface methodology:process and product optimization using designed experiments[M].Hoboken,US:Wiley,2009.
    [10]
    Chen W.A robust concept exploration method for configuring complex systems[D].Atlanta,US:Georgia Institute of Technology,1995.
    [11]
    McKay M D,Beckman R J,Conover W J.Comparison of three methods for selecting values of input variables in the analysis of output from a computer code[J].Technometrics,1979,21(2):239-245.
    [12]
    Wang G G.Adaptive response surface method using inherited latin hypercube design points[J].Journal of Mechanical Design,2003,125(2):210-220.
    [13]
    Crombecq K,Laermans E,Dhaene T.Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling[J].European Journal of Operational Research,2011,214(3):683-696.
    [14]
    Grosso A,Jamali A,Locatelli M.Finding maximin latin hypercube designs by iterated local search heuristics[J].European Journal of Operational Research,2009,197(2):541-547.
    [15]
    陆山,鲁冯杰.基于 ANSYS 的整体叶盘结构优化设计[J].航空动力学报,2012,27(6):1218-1224. LU Shan,LU Fengjie.Sturcture optimization design for blisk based on ANSYS[J].Journal of Aerospace Power,2012,27(6):1218-1224.(in Chinese)
    [16]
    Zhu H G,Liu L,Long T,et al.A novel algorithm of maximin latin hypercube design using succesive local enumeration[J].Engineering Optimization,2012,44(5):551-564.
    [17]
    Shan S Q,Wang G G.Survery of modeling and optimization strategies to solve high-dimensional design problems with computational-expensive black-box functions[J].Structural and Multidisciplinary Optimization,2010,41(2):219-241.
    [18]
    Brujic D,Ristic M,Mattone M,et al.CAD based shape optimization for gas turbine component design[J].Structural and Multidisciplinary Optimization,2010,41(4):647-659.
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