Dynamic probabilistic analysis of stress and deformation for bladed disk assemblies of aeroengine

被引:12
作者
Bai Bin [1 ]
Bai Guang-chen [1 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Sch Energy & Power Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
bladed disk assemblies; probabilistic analysis; finite element model; extremum response surface method; sensitivity analysis; transient dynamic analysis; PARAMETER SENSITIVITY ESTIMATION; RESPONSE-SURFACE METHOD; FORCED RESPONSE;
D O I
10.1007/s11771-014-2356-y
中图分类号
TF [冶金工业];
学科分类号
080601 [冶金物理化学];
摘要
In order to describe and control the stress distribution and total deformation of bladed disk assemblies used in the aeroengine, a highly efficient and precise method of probabilistic analysis which is called extremum response surface method (ERSM) is produced based on the previous deterministic analysis results with the finite element model (FEM). In this work, many key nonlinear factors, such as the dynamic feature of the temperature load, the centrifugal force and the boundary conditions, are taken into consideration for the model. The changing patterns with time of bladed disk assemblies about stress distribution and total deformation are obtained during the deterministic analysis, and at the same time, the largest deformation and stress nodes of bladed disk assemblies are found and taken as input target of probabilistic analysis in a scientific and reasonable way. Not only their reliability, historical sample, extreme response surface (ERS) and the cumulative probability distribution function but also their sensitivity and effect probability are obtained. Main factors affecting stress distribution and total deformation of bladed disk assemblies are investigated through the sensitivity analysis of the model. Finally, compared with the response surface method (RSM) and the Monte Carlo simulation (MCS), the results show that this new approach is effective.
引用
收藏
页码:3722 / 3735
页数:14
相关论文
共 29 条
[1]
Gradient and parameter sensitivity estimation for systems evaluated using Monte Carlo analysis [J].
Ahammed, M ;
Melchers, RE .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2006, 91 (05) :594-601
[2]
Dynamic response predictions for a mistuned industrial turbomachinery rotor using reduced-order modeling [J].
Bladh, R ;
Pierre, C ;
Castanier, MP ;
Kruse, MJ .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2002, 124 (02) :311-324
[3]
Reduced order modeling and vibration analysis of mistuned bladed disk assemblies with shrouds [J].
Bladh, R ;
Castanier, MP ;
Pierre, C .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 1999, 121 (03) :515-522
[4]
Blade manufacturing tolerances definition for a mistuned industrial bladed disk [J].
Capiez-Lernout, E ;
Soize, C ;
Lombard, JP ;
Dupont, C ;
Seinturier, E .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2005, 127 (03) :621-628
[5]
Prediction of Vibration Response Levels of Mistuned Integral Bladed Disks (Blisks): Robustness Studies [J].
Chan, Y. -J. ;
Ewins, D. J. .
JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 2012, 134 (04)
[6]
Reliability-based topology optimization using a standard response surface method for three-dimensional structures [J].
Eom, Young-Sop ;
Yoo, Kwang-Sun ;
Park, Jae-Yong ;
Han, Seog-Young .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2011, 43 (02) :287-295
[7]
Combined probabilistic and principal component analysis approach for multivariate sensitivity evaluation and application to implanted patellofemoral mechanics [J].
Fitzpatrick, Clare. K. ;
Baldwin, Mark A. ;
Rullkoetter, Paul J. ;
Laz, Peter J. .
JOURNAL OF BIOMECHANICS, 2011, 44 (01) :13-21
[8]
Forssell LS, 2003, AIAA GUID NAV CONTR, P1
[9]
[关磊 Guan Lei], 2003, [清华大学学报. 自然科学版, Journal of Tsinghua University(Science and Technology)], V43, P1487
[10]
Probabilistic strength analysis of four-directional laminated composites [J].
Gurvich, MR ;
Pipes, RB .
COMPOSITES SCIENCE AND TECHNOLOGY, 1996, 56 (06) :649-656