One-Equation Turbulence Model Based on Extended Bradshaw Assumption

被引:18
作者
Xu, Jinglei [1 ]
Zhang, Yang [2 ]
Bai, Junqiang [2 ]
机构
[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
[2] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
DIRECT NUMERICAL-SIMULATION; BOUNDARY-LAYERS; CHANNEL FLOW; ENERGY;
D O I
10.2514/1.J053039
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A one-equation turbulence model is presented. The modeling tries to adopt a more reliable source and less empirical coefficients. The governing equation is the turbulent kinetic energy equation, in which epsilon is closed phenomenologically. The stress intensity ratio 12/k is calibrated to be a function controlled by the local variables but not a constant 0.3. The extension of the Bradshaw assumption turns out to be of good accuracy, forming a new Reynolds stress constitutive relation. The two model coefficients are both extracted from one slice of the flat-plate boundary layer, yet extensive tests show that the model can significantly improve the precision of prediction for the boundary-layer flows, the adverse pressure gradient, shallow separation, transport effects, and massively separated flows.
引用
收藏
页码:1433 / 1441
页数:9
相关论文
共 50 条
  • [31] A numerical method based on the boundary integral equation and dual reciprocity methods for one-dimensional Cahn-Hilliard equation
    Dehghan, Mehdi
    Mirzaei, Davoud
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2009, 33 (04) : 522 - 528
  • [32] The relationship between a deformation-based eddy parameterization and the LANS-α turbulence model
    Bachman, Scott D.
    Anstey, James A.
    Zanna, Laure
    OCEAN MODELLING, 2018, 126 : 56 - 62
  • [33] Advances and challenges in developing a stochastic model for multi-scale fluid dynamic simulation: One-dimensional turbulence
    Chen, Chongpei
    Gao, Tianyun
    Liang, Jianhan
    Zhang, Lin
    Sun, Mingbo
    CHINESE JOURNAL OF AERONAUTICS, 2024, 37 (11) : 1 - 23
  • [34] An improved velocity increment model based on Kolmogorov equation of filtered velocity
    Fang, L.
    Shao, L.
    Bertoglio, J. P.
    Cui, G. X.
    Xu, C. X.
    Zhang, Z. S.
    PHYSICS OF FLUIDS, 2009, 21 (06)
  • [35] A DATA-BASED ONE-LAYER FORMULATION OF THE TWO-EQUATION RANS MODELS
    Hu, Xiaohan
    Huang, George
    Kunz, Robert
    Yang, Xiang
    PROCEEDINGS OF ASME 2024 FLUIDS ENGINEERING DIVISION SUMMER MEETING, VOL 2, FEDSM 2024, 2024,
  • [36] Numerical analysis of a finite element projection-based VMS turbulence model with wall laws
    Chacon Rebollo, Tomas
    Gomez Marmol, Macarena
    Rubino, Samuele
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2015, 285 : 379 - 405
  • [37] Analytical estimation of mixing coefficient induced by surface wave-generated turbulence based on the equilibrium solution of the second-order turbulence closure model
    Yuan YeLi
    Qiao FangLi
    Yin XunQiang
    Han Lei
    SCIENCE CHINA-EARTH SCIENCES, 2013, 56 (01) : 71 - 80
  • [38] Estimation of vertical diffusion coefficient based on a one-dimensional temperature diffusion equation with an inverse method
    Liang Hui
    Zhao Wei
    Dai Dejun
    Zhang Jun
    ACTA OCEANOLOGICA SINICA, 2014, 33 (05) : 28 - 36
  • [39] High Reynolds Number Wall-Bounded Turbulence and a Proposal for a New Eddy-Based Model
    Smits, Alexander J.
    TURBULENCE AND INTERACTIONS, 2010, 110 : 51 - 62
  • [40] Validation of DES-SST Based Turbulence Model for a Fully Developed Turbulent Channel Flow Problem
    Home, D.
    Lightstone, M. F.
    Hamed, M. S.
    NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2009, 55 (04) : 337 - 361