Optimal design of aeroengine turbine disc based on kriging surrogate models

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.