数值模拟方法对NASA CRM模型阻力预测的影响

doi:10.7527/S1000-6893.2019.23383

Abstract

Abstract: In numerical simulations of industry relevant geometries, plenty of factors will more or less affect the final results, including grid type/amount/distribution, turbulence model, numerical schemes, etc. It has become meaningful to quantify the effects of factors mentioned before on the simulation results and identify important areas needing additional research and development of CFD. In order to comprehensively study the impacts of several simulation options on the drag prediction of commercial transports, numerical investigations of the NASA Common Research Model from the 6th AIAA CFD Drag Prediction Workshop are performed in this paper. The effects of grid refinement, turbulence model, inviscid flux scheme, and the gradient computation method on drag prediction are investigated. Enumeration and orthogonal design of experiment are used to provide sampling data for analysis. The factors that have important contributions are identified by the kmeans clustering analysis and Mckay main effect analysis. The gradient computation method is recognized to be a key factor for total drag prediction, and more attention is needed in simulations of similar configurations and conditions.

Key words: drag prediction, grid refinement, turbulence model, sensitivity analysis, numerical scheme, CRM

CLC Number:

V211.3

CHEN Jiangtao, ZHAO Jiao, ZHANG Chao, LIU Shenshen, ZHANG Yaobing, WU Xiaojun. Effects of numerical simulation approaches on drag prediction of NASA CRM[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(4): 123383-123383.

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Effects of numerical simulation approaches on drag prediction of NASA CRM

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