An algorithm for arranging response surface designs in small blocks
Computational Statistics & Data Analysis
Finite element analysis of fir-tree region in turbine discs
Finite Elements in Analysis and Design
Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
Accelerating the Convergence of Evolutionary Algorithms by Fitness Landscape Approximation
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models
Journal of Global Optimization
A framework for evolutionary optimization with approximate fitnessfunctions
IEEE Transactions on Evolutionary Computation
Finite Elements in Analysis and Design
Multiobjective optimization design for vehicle occupant restraint system under frontal impact
Structural and Multidisciplinary Optimization
Integrated aerodynamic design and analysis of turbine blades
Advances in Engineering Software
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A design optimization method based on kriging surrogate models is proposed and applied to the shape optimization of an aeroengine turbine disc. The kriging surrogate model is built to provide rapid approximations of time-consuming computations. For improving the accuracy of surrogate models without significantly increasing computational cost, a rigorous sample selection is employed to reduce additional design samples based on design of experiments over a sequential trust region. The minimum-mass shape design of turbine discs under thermal and mechanical loads has demonstrated the effectiveness and efficiency of the presented optimization approach.