Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics

被引：1
作者：
Lei Li
Huan Wan
Wenjing Gao
Fujuan Tong
Honglin Li
机构：
[1] Northwestern Polytechnincal University,Department of Engineering Mechanics
来源：
Structural and Multidisciplinary Optimization | 2019年 / 59卷
关键词：
Cooling turbine blade; Reliability based multidisciplinary design optimization; Kriging surrogate model; Uncertainty data statistics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Considering the coupling among aerodynamic, heat transfer and strength, a reliability based multidisciplinary design optimization method for cooling turbine blade is introduced. Multidisciplinary analysis of cooling turbine blade is carried out by sequential conjugated heat transfer analysis and strength analysis with temperature and pressure interpolation. Uncertainty data including the blade wall, rib thickness, elasticity Modulus and rotation speed is collected. Data statistics display the probability models of uncertainty data follow three-parameter Weibull distribution. The thickness of blade wall, thickness and height of ribs are chosen as design variables. Kriging surrogate model is introduced to reduce time-consuming multidisciplinary reliability analysis in RBMDO loop. The reliability based multidisciplinary design optimization of a cooling turbine blade is carried out. Optimization results shows that the RBMDO method proposed in this work improves the performance of cooling turbine blade availably.
引用
收藏
页码：659 / 673
页数：14
相关论文
共 83 条
[1]  
Ahn J(2006)An efficient strategy for reliability-based multidisciplinary design optimization using BLISS Struct Multidiscip Optim 31 363-372
[2]  
Kwon JH(2014)A local adaptive sampling method for reliability-based design optimization using kriging model Struct Multidiscip Optim 49 401-416
[3]  
Chen ZZ(2017)Upstream wake effect on flow and heat transfer characteristics at an endwall of first-stage blade of a gas turbine Exp Thermal Fluid Sci 86 23-36
[4]  
Qiu HB(2017)Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set Struct Multidiscip Optim 56 1413-1427
[5]  
Gao L(2017)Topology optimization under thermo-elastic buckling Struct Multidiscip Optim 55 1759-1772
[6]  
Li XK(2008)Sequential optimization and reliability assessment for multidisciplinary systems design Struct Multidiscip Optim 35 117-130
[7]  
Li PG(2012)Extremum selection method of random variable for nonlinear dynamic reliability analysis of turbine blade deformation Propulsion and Power Research 1 58-63
[8]  
Choi SM(2001)Two-equation turbulence models for prediction of heat transfer on a transonic turbine blade Int J Heat Fluid Flow 22 593-602
[9]  
Park JS(2008)An efficient method for reliability-based multidisciplinary design optimization Chin J Aeronaut 21 335-340
[10]  
Chung H(2016)A local kriging approximation method using MPP for reliability-based design optimization Comput Struct 162 102-115
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