Optimization method based on approximate gradient analysis and its application in aerodynamic design
Year: 2024
Type: conference-paper
Abstract: An efficient optimization method based on approximate gradient analysis was proposed to reduce the substantial computational burden in expensive optimization problems, in which the objective functions are evaluated with high-fidelity analyses in one-dimensional linear search, while the gradients are evaluated with an approximation model during the optimization process. Taking advantage of the similarity of CFD models with different fidelities, we employ a less time-consuming low-fidelity model as its main section, and use the gradient information of the high-fidelity model at the initial point as an amendment. The proposed procedure was applied to the aerodynamic optimization of a well-designed supercritical wing, resulting in obvious drag reduction, but the CPU time is only 28.5% as its SQP counterpart. The investigation indicates the proposed method is suitable for aerodynamic improvement of an existing baseline configuration to meet specified engineering requirements.
Authors: Miao Liu, Ruizhan Qian, Jianlong Wei, Wutao Lei
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4401741998