Variable-fidelity optimization applied to wing-body configuration
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摘要: 基于信赖域思想,发展了一种变可信度优化设计方法组织和管理不同可信度模型,有效利用低可信度模型建立近似模型,进行优化设计,高可信度模型仅修正优化近似模型,使最终优化结果收敛到高可信度模型上.采用全位势边界层有粘无粘迭代方法作为低可信度模型,多重网格Navier-Stokes方程方法作为高可信度模型,对翼身组合体进行优化设计,优化结果表明:发展的变可信度优化方法优化效率高,且能保证优化精度,具有实际的工程应用价值.Abstract: Based on the trust region method, a variable-fidelity optimization method is developed to effectively manage and utilize low-fidelity models and high-fidelity models. The low-fidelity model was employed to build an approximation model in optimization process, while the high-fidelity model was used to correct the optimization approximation model and make the optimization results converged to high-fidelity model optimization results. The viscous and inviscid iteration of full-potential method and boundary layer method was chosen as the low-fidelity model and the multi-grid Navier-Stokes method was utilized as the high-fidelity model to optimize the wing-body configuration. The optimization results show that the method has not only high efficiency, but also good accuracy, therefore, is of practical meaning.
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Key words:
- variable-fidelity optimization /
- trust region /
- wing-body configuration /
- design
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