超临界机翼多目标气动优化设计的策略与方法

doi:10.7527/S1000-6893.2019.23409

Abstract

Abstract: Optimization methods are often applied in aerodynamic design of modern civil aircraft supercritical wings. However, optimization algorithms cannot directly describe the industrial requirements, therefore, corresponding mathematical descriptions must be developed to tackle the problem. In the present paper, gradient algorithms and stochastic algorithms are compared in a supercritical wing optimization. Then, several requirements of aircraft aerodynamic design are summarized and mathematically described, and these criteria are applied to a multi-objective stochastic optimization method as objectives and constraints. The method is applied to a civil aircraft wing aerodynamic optimization, and the results show that better efficiency and result can be obtained by using pressure distribution guided objectives and constraints.

Key words: multi-objective optimization, gradient optimization, adjoint method, aerodynamic design, pressure distribution guided, man-in-loop

CLC Number:

V224

LI Runze, ZHANG Yufei, CHEN Haixin. Strategies and methods for multi-objective aerodynamic optimization design for supercritical wings[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(5): 623409-623409.

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Strategies and methods for multi-objective aerodynamic optimization design for supercritical wings

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