An efficient parallel multi-fidelity multi-objective Bayesian optimization method and application to 3-stage axial compressor with 144 variables

He, Youwei; Gui, Qingwen; Luo, Jinliang

doi:10.1016/j.ast.2024.109235

Aerospace Science and Technology

2024

DOI: 10.1016/j.ast.2024.109235

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An efficient parallel multi-fidelity multi-objective Bayesian optimization method and application to 3-stage axial compressor with 144 variables

Youwei He,

Qingwen Gui,

Jinliang Luo

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Control parameter layout of compressor airfoils and adaptive optimization method for boundary extension

Cheng,

Song,

Zhang

et al. 2024

Physics of Fluids

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Parameterized optimization methods are effective approaches for achieving high aerodynamic performance in compressors. Traditional parameterized optimization methods rely on a designer's preselected control parameter layout (including control frame orientation, point density distribution, control point displacement direction, number of variables, and variable ranges), which are purely based on empirical knowledge without sufficient theoretical basis. This paper selects the free-form deformation (FFD) method and Bayesian algorithm as the parameterization method and optimization algorithm for compressor airfoil optimization and studies the influence of FFD control parameter layouts on aerodynamic optimization performance. Additionally, an adaptive optimization method for control parameters based on FFD is proposed, where the orientation and density of the control framework can be incorporated as variables into the control parameters. During the optimization process, the range of design variables is adaptively expanded. A comparison between FFD optimization results based on B-spline and Bernstein basis functions shows that the former achieves an average performance improvement of 4% relative to the latter. Furthermore, an optimization method with an infinitely expandable boundary based on Bernstein basis FFD is proposed, which improves the performance by 12% compared to general adaptive boundary expansion methods.

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Control parameter layout of compressor airfoils and adaptive optimization method for boundary extension

Cheng,

Song,

Zhang

et al. 2024

Physics of Fluids

View full text Add to dashboard Cite

show abstract

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An efficient parallel multi-fidelity multi-objective Bayesian optimization method and application to 3-stage axial compressor with 144 variables

Cited by 1 publication

References 35 publications

Control parameter layout of compressor airfoils and adaptive optimization method for boundary extension

Control parameter layout of compressor airfoils and adaptive optimization method for boundary extension

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