摘要
在气动优化设计和气动数据库建立中,为了在不降低数据精度的同时提高效率降低成本,提出了变精度模型(VCM)。本文的研究发现,经典的变精度模型(VCM)方法在原始数据绝对值较小的情况下,微小的误差会被放大,损害变精度模型的质量。严重情况下甚至出现振荡,导致变精度模型气动数据失真。为此,提出了一种VCM方法的自适应预处理技术,通过自适应算法估算出合适的预处理参数平移气动数据,避开过零区域,解决了变精度模型的上述问题。在一个典型高超声速飞行器的六自由度气动特性数据库建立中应用校验该方法。新方法将风洞试验数据、CFD数据和工程计算数据融合在一起,得到了一致精度的完整气动特性数据库。
A mass of aerodynamic data obtained with experiments,computations and theory methods are required in an aerodynamic database construction or aerodynamic sharp optimization for hypersonic vehicle.The multi-fidelity data fusion method,i.e.,variable complexity model(VCM)is proposed to obtain high quality aerodynamic data with low price.In this paper,it is found that small deviations can led to the fusion data oscillation,the loss of the fidelity,and deterioration of the data quality when original data is near to zero.The adaptive preconditioning method for VCM is proposed to solve this problem.The preconditioning parameter is adaptively computed to shift the original data to the values away from zero.The new method is validated by applying to the construction of 6 degrees of freedom aerodynamic design data base for a hypersonic vehicle.The wind tunnel experiment data,CFD computation data,and theory computation data are fused in this new method,which leads to the consistently high fidelity aerodynamic design data base.
作者
杜涛
陈闽慷
李凰立
苏虹
DU Tao;CHEN Mingkang;LI Huangli;SU Hong(Beijing Institute of Astronautical Systems Engineering,Beijing 100076,China;College of Aerospace Science and Engineering,National University of Defence Technology,Changsha 410073,China)
出处
《空气动力学学报》
CSCD
北大核心
2018年第2期315-319,共5页
Acta Aerodynamica Sinica
