Distributed collaborative extremum response surface method for mechanical dynamic assembly reliability analysis

被引:16
作者
Fei Cheng-wei [1 ]
Bai Guang-chen [1 ]
机构
[1] Beihang Univ, Sch Jet Prop, Beijing 100191, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
complex machinery; dynamic assembly reliability (DAR); blade-tip radial running clearance (BTRRC); radial deformation; reliability analysis; distributed collaborative extremum response surface method (DCERSM); multi-object multi-discipline (MOMD); TIP CLEARANCE; DESIGN;
D O I
10.1007/s11771-013-1751-0
中图分类号
TF [冶金工业];
学科分类号
080601 [冶金物理化学];
摘要
To make the dynamic assembly reliability analysis more effective for complex machinery of multi-object multi-discipline (MOMD), distributed collaborative extremum response surface method (DCERSM) was proposed based on extremum response surface method (ERSM). Firstly, the basic theories of the ERSM and DCERSM were investigated, and the strengths of DCERSM were proved theoretically. Secondly, the mathematical model of the DCERSM was established based upon extremum response surface function (ERSF). Finally, this model was applied to the reliability analysis of blade-tip radial running clearance (BTRRC) of an aeroengine high pressure turbine (HPT) to verify its advantages. The results show that the DCERSM can not only reshape the possibility of the reliability analysis for the complex turbo machinery, but also greatly improve the computational speed, save the computational time and improve the computational efficiency while keeping the accuracy. Thus, the DCERSM is verified to be feasible and effective in the dynamic assembly reliability (DAR) analysis of complex machinery. Moreover, this method offers an useful insight for designing and optimizing the dynamic reliability of complex machinery.
引用
收藏
页码:2414 / 2422
页数:9
相关论文
共 23 条
[1]
Analytical modeling and multi-objective optimization (MOO) of slippage for wheeled mobile robot (WMR) in rough terrain [J].
Ani, O. A. ;
Xu He ;
Xue Kai ;
Liu Shao-gang ;
Zhang Zhen-yu .
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (09) :2458-2467
[2]
Credit scoring analysis using a fuzzy probabilistic rough set model [J].
Capotorti, Andrea ;
Barbanera, Eva .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2012, 56 (04) :981-994
[3]
Design sensitivity analysis of structures based upon the singular value decomposition [J].
Ersoy, H ;
Mugan, A .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2002, 191 (32) :3459-3476
[4]
Extremum selection method of random variable for nonlinear dynamic reliability analysis of turbine blade deformation [J].
Fei, Chengwei ;
Bai, Guangchen .
PROPULSION AND POWER RESEARCH, 2012, 1 (01) :58-63
[5]
Forssell LS, 2003, AIAA GUID NAV CONTR, P1
[6]
Goel N., 2008, 2008 Canadian Conference on Electrical and Computer Engineering - CCECE, P001087, DOI 10.1109/CCECE.2008.4564705
[7]
Optimal design of aeroengine turbine disc based on kriging surrogate models [J].
Huang, Zhangjun ;
Wang, Chengen ;
Chen, Jian ;
Tian, Hong .
COMPUTERS & STRUCTURES, 2011, 89 (1-2) :27-37
[8]
Study on Effect of Rotor Vibration on Tip Clearance Variation and Fast Active Control of Tip Clearance [J].
Jia, Binghui ;
Zhang, Xiaodong .
MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 :2469-2472
[9]
Kypuros J. A., 2003, Report No. NASA/TM-2003-212226
[10]
Test rig for evaluating active turbine blade tip clearance control concepts [J].
Lattime, SB ;
Steinetz, BM ;
Robbie, MG .
JOURNAL OF PROPULSION AND POWER, 2005, 21 (03) :552-563