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An iterative data-driven turbulence modeling framework based on Reynolds stress representation 被引量:2
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作者 yuhui yin Zhi Shen +2 位作者 Yufei Zhang Haixin Chena Song Fu 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2022年第5期371-387,共17页
Data-driven turbulence modeling studies have reached such a stage that the basic framework is settled,but several essential issues remain that strongly affect the performance.Two problems are studied in the current re... Data-driven turbulence modeling studies have reached such a stage that the basic framework is settled,but several essential issues remain that strongly affect the performance.Two problems are studied in the current research:(1)the processing of the Reynolds stress tensor and(2)the coupling method between the machine learning model and flow solver.For the Reynolds stress processing issue,we perform the theoretical derivation to extend the relevant tensor arguments of Reynolds stress.Then,the tensor representation theorem is employed to give the complete irreducible invariants and integrity basis.An adaptive regularization term is employed to enhance the representation performance.For the coupling issue,an iterative coupling framework with consistent convergence is proposed and then applied to a canonical separated flow.The results have high consistency with the direct numerical simulation true values,which proves the validity of the current approach. 展开更多
关键词 Turbulence modeling Reynolds-averaged Navier-Stokes equations Reynolds stress representation Machine learning
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Study of riblet drag reduction for an infinite span wing with different sweep angles
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作者 Yufei ZHANG Chongyang YAN +1 位作者 Haixin CHEN yuhui yin 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2020年第12期3125-3137,共13页
This paper studies the riblet drag reduction effect for an infinite swept wing under a low Reynolds number using a large-eddy simulation.The results show that the drag reduction ratio is not linear under different swe... This paper studies the riblet drag reduction effect for an infinite swept wing under a low Reynolds number using a large-eddy simulation.The results show that the drag reduction ratio is not linear under different sweep angles.The maximum drag reduction ratio in this study is 9.5%for a wing with a 45°sweep angle.The local surface streamline angle and turbulence quantities are calculated to analyze the drag reduction mechanism.The results demonstrate that the riblets considerably suppress the Reynolds stresses above the wing upper surface,while the turbulence kinetic energy in the near wake is increased.A possible relaminarization phenomenon is observed at the middle part of the wing.Quasi-two-dimensional flow structures are observed near the wall,and a peak frequency is considered as the dominant frequency of the region. 展开更多
关键词 Drag reduction Large Eddy simulation Relaminarization Riblet Sweep angle
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