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基于NSRFG方法的标准地貌风场大涡模拟研究

胡晓兵, 杨易

胡晓兵, 杨易. 基于NSRFG方法的标准地貌风场大涡模拟研究[J]. 工程力学, 2020, 37(9): 112-122. DOI: 10.6052/j.issn.1000-4750.2019.10.0601
引用本文: 胡晓兵, 杨易. 基于NSRFG方法的标准地貌风场大涡模拟研究[J]. 工程力学, 2020, 37(9): 112-122. DOI: 10.6052/j.issn.1000-4750.2019.10.0601
HU Xiao-bing, YANG Yi. RESEARCH ON NSRFG-BASED LES SIMULATION FOR STANDARD WIND TERRAINS[J]. Engineering Mechanics, 2020, 37(9): 112-122. DOI: 10.6052/j.issn.1000-4750.2019.10.0601
Citation: HU Xiao-bing, YANG Yi. RESEARCH ON NSRFG-BASED LES SIMULATION FOR STANDARD WIND TERRAINS[J]. Engineering Mechanics, 2020, 37(9): 112-122. DOI: 10.6052/j.issn.1000-4750.2019.10.0601

基于NSRFG方法的标准地貌风场大涡模拟研究

基金项目: 国家自然科学基金项目(51478194)
详细信息
    作者简介:

    胡晓兵(1992−),男,河南信阳人,硕士生,主要从事结构风工程研究(E-mail: xiaobing976@163.com)

    通讯作者:

    杨 易(1975−),男,湖北武汉人,研究员,工学博士,主要从事结构风工程研究(E-mail: ctyangyi@scut.edu.cn)

  • 中图分类号: TU312.1

RESEARCH ON NSRFG-BASED LES SIMULATION FOR STANDARD WIND TERRAINS

  • 摘要: 大涡模拟中入流湍流的准确模拟,是计算风工程领域当前研究的热点;准确定义与各类地貌大气边界层湍流特征相符的入流边界条件,是进行建筑结构风效应研究的前提(也是当前研究的难题)。该文在新提出的以湍流合成法为基础的LES入流湍流生成技术—NSRFG方法上,研究了数学模型中若干参数的适当取值问题。通过数值分析对采样频率间距Δƒ、引入的时间尺度因子τ0和空间尺度因子θ、衰减系数cj及调谐因子γj等重要参数进行敏感性研究,分析了上述参数的取值对所生成湍流脉动风速功率谱、均方值和空间相关性等模拟结果的影响;在此基础上建议了一套与中国规范四类标准地貌风场相对应的参数表,从而建立基于该方法的“标准数值风场模型”;通过实例对四类标准地貌边界层湍流风场进行数值模拟和平衡态检验。研究表明:上述关键参数的赋值对采用NSRFG方法进行大气边界层湍流风场的重构影响显著,该文基于NSRFG方法所建议的标准地貌数值风场模型,对研究者采用LES进行结构风工程的数值模拟研究具有一定的参考价值。
    Abstract: Accurately simulating inflow turbulence for large eddy simulation (LES) is a hot topic in the field of computational wind engineering. Defining appropriate inflow boundary conditions in accordance with the turbulence characteristics of various atmospheric boundary layers (ABLs) is a prerequisite and indeed a great challenge in numerical research of wind effects on building structures at current stage. Based on the newly proposed LES inflow turbulence generation technology-NSRFG method, which belongs to the category of the turbulence synthesis method, the appropriate values of several parameters in the mathematical model were systematically studied. Detailed parameter sensitivity analyses were conducted to investigate several key parameters, including the sampling frequency intervals Δƒ, the introduced time scale factor τ0, the introduced spatial scale factor θ, the decay coefficient cj and the tuning factor γj, on the simulated turbulent fluctuating wind velocity spectra, the RMS values as well as the spatial correlations. Based on it, a serials of model parameters corresponding to four typical standard wind terrains defined in Chinese building code were then proposed in order to build a ‘standard numerical wind terrain model’. Numerical simulations and equilibrium state verifications for those standard wind fields were subsequently performed. The results showed that key parameters had significant impacts on the numerical reconstructions of the turbulent wind fields by employing NSRFG method, and the proposed standard numerical wind terrain models would be referential for similar LES research of building structures.
  • 图  1   不同采样频率间隔的脉动风速功率谱比较

    Figure  1.   Comparison of the spectra of the fluctuating velocities with different frequency intervals

    图  2   不同频率间隔脉动速度的空间相关性比较

    Figure  2.   Comparison of non-dimensional spatial correlation of the fluctuating velocities with different frequency intervals

    图  3   三维脉动速度的时间相关性比较

    Figure  3.   Comparison of non-dimensional time correlation of the three-dimensional fluctuating velocities

    图  4   脉动风速时间尺度随τ0变化的统计特性

    Figure  4.   Time scale statistics of the fluctuating velocity as a function of τ0

    图  5   不同时间尺度因子τ0下的顺风向湍流积分尺度比较

    Figure  5.   Comparison of longitudinal turbulence integral scales with different time-correlation factors (τ0)

    图  6   LES计算域、边界条件设置及网格划分示意图

    Figure  6.   Computational domain, boundary conditions and mesh schemes for LES calculation

    图  7   四类标准地貌风场平均风速和湍流度剖面

    Figure  7.   Mean wind speed and turbulence intensity profiles of four standard wind terrain categories

    图  8   x=L/3处瞬时速度云图

    Figure  8.   Instantaneous velocity magnitude contours at x=L/3

    图  9   模拟的四类湍流风场脉动风速时程

    Figure  9.   Fluctuating velocity-time histories of four standard wind terrain categories

    图  10   四类湍流风场计算域流向风谱与目标谱比较

    Figure  10.   Comparison between alongwind spectrum of four wind terrain categories in computational domain and the target one

    表  1   基本数值模型湍流风场参数设置

    Table  1   Parameters of the turbulent wind flow for the basic numerical model

    参数定义
    风场类别C类地貌
    平均速度Uav=Uref(zzref)αUref=11.1 m/s,zref=0.61 m,α=0.22
    湍流强度Iu(z)=I10(zz10)αIv(z)=Iu(z)σvσu,Iw(z)=Iu(z)σwσu
    湍流积分尺度Lu(z)=300(z300)0.46+0.074lnz0Lv(z)=0.5(σvσu)3Lu(z),Lw(z)=0.5(σwσu)3Lu(z)
    注:根据欧洲规范(ESDU 85020),表中部分参数计算如下:σvσu=10.22cos4(π2zh)σwσu=10.45cos4(π2zh)h=u6fu为摩擦速度,z0=0.7 mf=2ΩsinφΩ=72.9×106φ=23.1670(地区纬度)。
    下载: 导出CSV

    表  2   不同采样频率间隔的脉动风速均方根比较

    Table  2   Comparisons of the RMS values of the fluctuating velocities with different frequency intervals

    采样频率间隔Δƒ空间三维脉动风速均方根
    σuσvσw
    5 (N=50)1.2651.0210.691
    2.5 (N=100)1.3221.0160.692
    1.25 (N=200)1.3241.0160.692
    0.50 (N=500)1.3271.0160.692
    0.25 (N=1000)1.3291.0160.692
    0.15 (N=1666)1.3341.0180.692
    目标值1.3471.0510.741
    下载: 导出CSV

    表  3   时间尺度统计特性比较

    Table  3   Comparison of time scale statistics

    间尺度因子τ0空间三维时间尺度/s
    TuTvTw
    0.500.0306±0.00120.0084±0.00010.0032±0.0001
    0.800.0481±0.00100.0134±0.00020.0051±0.0001
    0.960.0576±0.00070.0161±0.00030.0060±0.0001
    1.000.0593±0.00480.0167±0.00050.0063±0.0001
    1.200.0725±0.00180.0200±0.00040.0076±0.0001
    1.500.1001±0.01280.0259±0.00110.0096±0.0003
    目标值0.05870.01390.0049
    下载: 导出CSV

    表  4   不同空间尺度因子下的脉动风速均方根比较

    Table  4   Comparison of the RMS values of the fluctuating velocities with different spatial scale factors

    空间尺度因子θ空间三维脉动风速均方根
    σuσvσw
    0.41.3090.9870.649
    0.61.3181.0020.671
    0.81.3241.0100.684
    1.01.3271.0160.692
    1.51.3311.0240.704
    2.01.3351.0280.710
    2.51.3361.0310.714
    下载: 导出CSV

    表  5   基于NSRFG方法的四种标准地貌参数建议值

    Table  5   Suggested parameters in the NSRFG methods for four standard wind terrain categories

    地貌类别NSRFG方法中参数取值
    c1c2c3γ1γ2γ3
    A类地貌1015153.362.982.98
    B类地貌1012122.252.102.10
    C类地貌1012122.462.352.20
    D类地貌1012122.852.602.52
    下载: 导出CSV

    表  6   LES计算格式和参数设置

    Table  6   Calculation formats and parameters in the LES

    计算格式参数设置
    压力离散格式二阶迎风
    时间离散格式二阶隐式
    动量方程离散格式有界中心差分
    压力、速度耦合PISO算法
    亚格子模型壁面自适应局部涡粘模型(WALE)
    下载: 导出CSV

    表  7   四类地貌顺风向脉动风速均方值与目标值的比较

    Table  7   Comparison between RMS values of along-wind velocities for the four standard wind terrain categories and target values

    风场类别目标值σu模拟值σu相对误差/(%)
    A类地貌0.9400.9103.2
    B类地貌1.0040.9604.4
    C类地貌1.3471.3073.0
    D类地貌1.8111.7324.4
    下载: 导出CSV
  • [1]

    Bazdidi-Tehrani F, Kiamansouri M, Kiamansouri M, et al. Inflow turbulence generation techniques for large eddy simulation of flow and dispersion around a model building in a turbulent atmospheric boundary layer [J]. Journal of Building Performance Simulation, 2016, 9(6): 680 − 698. doi: 10.1080/19401493.2016.1196729

    [2]

    Blocken B. 50 years of computational wind engineering: Past, present and future [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 129: 69 − 102. doi: 10.1016/j.jweia.2014.03.008

    [3]

    Janssen W D, Blocken B, van Hooff T. Pedestrian wind comfort around buildings: Comparison of wind comfort criteria based on whole-flow field data for a complex case study [J]. Building and Environment, 2013, 59: 547 − 562. doi: 10.1016/j.buildenv.2012.10.012

    [4]

    Daniels S J, Castro I P, Xie Z. Peak loading and surface pressure fluctuations of a tall model building [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 120: 19 − 28. doi: 10.1016/j.jweia.2013.06.014

    [5] 李启, 杨庆山, 朱伟亮. 湍流入口条件下建筑非定常风场的大涡模拟[J]. 工程力学, 2012, 29(12): 274 − 280. doi: 10.6052/j.issn.1000-4750.2011.05.0290

    Li Qi, Yang Qingshan, Zhu Weiliang. Large eddy simulation of unsteady wind field around building using turbulent inflow [J]. Engineering Mechanics, 2012, 29(12): 274 − 280. (in Chinese) doi: 10.6052/j.issn.1000-4750.2011.05.0290

    [6]

    Pamiès M, Weiss P, Garnier E, et al. Generation of synthetic turbulent inflow data for large eddy simulation of spatially evolving wall-bounded flows [J]. Physics of Fluids, 2009, 21(4): 1 − 15. doi: 10.1063/1.3103881

    [7] 周桐, 杨庆山, 闫渤文, 等. 大气边界层大涡模拟入口湍流生成方法综述[J]. 工程力学, 2019, 30(1): 105 − 116.

    Zhou Tong, Yang Qingshan, Yan Bowen, et al. Review of inflow turbulence generation methods with large eddy simulation for atmospheric boundary layer [J]. Engineering Mechanics, 2019, 30(1): 105 − 116. (in Chinese)

    [8]

    Kraichnan R H. Diffusion by a random velocity field [J]. Physics of Fluids, 1970, 13(1): 22 − 31. doi: 10.1063/1.1692799

    [9]

    Smirnov A, Shi S, Celik I. Random flow generation technique for large eddy simulations and particle-dynamics modeling [J]. Journal of Fluids Engineering, 2001, 123: 359 − 371. doi: 10.1115/1.1369598

    [10]

    Huang S H, Li Q S, Wu J R. A general inflow turbulence generator for large eddy simulation [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2010, 98: 600 − 617. doi: 10.1016/j.jweia.2010.06.002

    [11]

    Castro H G, Paz R R. A time and space correlated turbulence synthesis method for large eddy simulations [J]. Journal of Computational Physics, 2013, 235: 742 − 763. doi: 10.1016/j.jcp.2012.10.035

    [12]

    Aboshosha H, Elshaer A, Bitsuamlak G T, et al. Consistent inflow turbulence generator for LES evaluation of wind-induced responses for tall buildings [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 142: 198 − 216. doi: 10.1016/j.jweia.2015.04.004

    [13]

    Yu Y, Yang Y, Xie Z. A new inflow turbulence generator for large eddy simulation evaluation of wind effects on a standard high-rise building [J]. Building and Environment, 2018, 138: 300 − 313. doi: 10.1016/j.buildenv.2018.03.059

    [14] GB 50009―2012, 建筑结构荷载规范[S]. 北京: 中国建筑工业出版社, 2012.

    GB 50009―2012, Load code for the design of building structures [S]. Beijing: China Architecture Industry Press, 2012. (in Chinese)

    [15]

    Hémon P, Santi F. Simulation of a spatially correlated turbulent velocity field using biorthogonal decomposition [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2007, 95(1): 21 − 29. doi: 10.1016/j.jweia.2006.04.003

    [16]

    Batten P, Goldberg U, Chakravarthy S. Interfacing statistical turbulence closures with large-eddy simulation [J]. AIAA Journal, 2004, 42(3): 485 − 492. doi: 10.2514/1.3496

    [17]

    Yang Y, Xie Z N, Gu M. Consistent inflow boundary conditions for modelling the neutral equilibrium atmospheric boundary layer for the SST <italic>k</italic>-<italic>ω</italic> model [J]. Wind and Structures, 2017, 5(24): 465 − 480.

    [18]

    Dhamankar N S, Blaisdell G A, Lyrintzis A S. Overview of turbulent inflow boundary conditions for large-eddy simulations [J]. AIAA Journal, 2017, 56(35): 1 − 18.

    [19]

    Vasaturo R, Kalkman I, Blocken B, et al. Large eddy simulation of the neutral atmospheric boundary layer: Performance evaluation of three inflow methods for terrains with different roughness [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 173: 241 − 261. doi: 10.1016/j.jweia.2017.11.025

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出版历程
  • 收稿日期:  2019-10-14
  • 修回日期:  2020-02-08
  • 网络出版日期:  2020-05-20
  • 刊出日期:  2020-09-06

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