Structural and Multidisciplinary Optimization

, Volume 59, Issue 2, pp 659–673 | Cite as

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

  • Lei LiEmail author
  • Huan Wan
  • Wenjing Gao
  • Fujuan Tong
  • Honglin Li
Industrial Application


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.


Cooling turbine blade Reliability based multidisciplinary design optimization Kriging surrogate model Uncertainty data statistics 



National Natural Science Foundation of China (Grant No. 51575444), Aerospace Science and Technology Foundation (Grant No. 2017-HT-XGD), Aviation Power Foundation (Grant No. 6141B090319) support this work.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Lei Li
    • 1
    Email author
  • Huan Wan
    • 1
  • Wenjing Gao
    • 1
  • Fujuan Tong
    • 1
  • Honglin Li
    • 1
  1. 1.Department of Engineering MechanicsNorthwestern Polytechnincal UniversityXi’anChina

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