考虑羽流浮力影响的高层建筑周围污染物扩散数值模拟
CSTR:
作者:
作者单位:

同济大学 土木工程防灾国家重点实验室,上海 200092

作者简介:

周晅毅(1975—),男,教授,工学博士,主要研究方向为风环境、污染物扩散及结构雪荷载。 E-mail: zhouxytj@tongji.edu.cn

通讯作者:

马慧心(1997—),女,博士生,主要研究方向为污染物扩散。E-mail: mahuixin@tongji.edu.cn

中图分类号:

X511

基金项目:

国家自然科学基金面上项目(52078380)


Computational Fluid Dynamics Simulation of Pollutant Dispersion Around a High-Rise Building Considering Effect of Plume Buoyancy
Author:
Affiliation:

State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [21]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    考虑了由环境空气和气体污染物之间的密度差异所产生的不同羽流浮力效应的影响,采用大涡模拟(LES)方法对一个高层建筑周围的污染物扩散问题进行了数值模拟研究。通过将模拟结果与风洞试验结果对比,验证了LES方法的准确性;同时,讨论了不同羽流浮力对平均浓度分布、浓度输运机制以及浓度脉动的影响。轻质气体所受的正浮力使建筑后方尾流区内竖向对流及湍流通量明显增大,从而增强了污染物的稀释作用;而重质气体在负浮力的影响下则产生相反的效果。除此之外,向上的羽流浮力使浓度脉动进一步增强,而向下的羽流浮力则对其有一定的抑制作用。

    Abstract:

    In this paper, large-eddy simulations (LES) were conducted to investigate the pollutant dispersion around a high-rise building, with different plume buoyancies produced by the density difference between ambient air and polluted gas being considered. The accuracy of the numerical method used in this paper was validated by comparing the simulated results with the wind tunnel experiment data. The effects of different plume buoyancies on the time-averaged concentration, concentration transportation, and concentration fluctuation were discussed. The positive buoyancy of the light gas significantly increases the vertical convection and turbulent flux in the wake region behind the building, enhancing the dilution of pollutant. In contrast, heavy gas has an opposite effect under the influence of negative buoyancy. In addition, the upward plume buoyancy further enhances the concentration fluctuation, while the downward plume buoyancy suppresses it to some degree.

    参考文献
    [1] XIA Q, NIU J, LIU X. Dispersion of air pollutants around buildings: A review of past studies and their methodologies[J]. Indoor and Built Environment,2012, 23(2): 201.
    [2] LATEB M, MERONEY R N, YATAGHENE M, et al. On the use of numerical modelling for near-field pollutant dispersion in urban environments — a review [J]. Environmental Pollution, 2016, 208(A): 271.
    [3] 常乐, 涂书阳, 张旭. 人员进门过程中污染气体侵入数值模拟[J]. 同济大学学报(自然科学版), 2017, 45(12): 1847.
    [4] 李光耀, 秦洁. 建筑布局对空间舒适性影响的数值模拟[J], 同济大学学报(自然科学版), 2015, 43(6): 853.
    [5] OLVERA H A, CHOUDHURI A R, LI W W. Effects of plume buoyancy and momentum on the near-wake flow structure and dispersion behind an idealized building [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2008, 96(2): 209.
    [6] TOMINAGA Y, STATHOPOULOS T. CFD simulations of near-field pollutant dispersion with different plume buoyancies [J]. Building and Environment, 2018, 131: 128.
    [7] TAMURA T. Towards practical use of LES in wind engineering [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2008, 96(10/11): 1451.
    [8] TOMINAGA Y. STATHOPOULOS T, Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES [J]. Building and Environment, 2010, 45(10): 2231.
    [9] YOSHIE R, JIANG G, SHIRASAWA T, et al. CFD simulations of gas dispersion around high-rise building in non-isothermal boundary layer [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2011, 99(4): 279.
    [10] GOUSSEAU P, BLOCKEN B, HEIJST G J F VAN . CFD simulation of pollutant dispersion around isolated buildings: On the role of convective and turbulent mass fluxes in the prediction accuracy [J]. Journal Hazardous Materials, 2011, 194: 422.
    [11] WINGSTEDT E M M, OSNES A N, AKERVIK E, et al. Large-eddy simulation of dense gas dispersion over a simplified urban area [J]. Atmospheric Environment, 2017, 152: 605.
    [12] LIN C, OOKA R, KIKUMOTO H, et al. CFD simulations on high-buoyancy gas dispersion in the wake of an isolated cubic building using steady RANS model and LES [J]. Building and Environment, 2021, 188: 107478.
    [13] database TPU ,database on indoor/outdoor air pollution (wind tunnel)[EB/OL]. [2021-01-01]. http://www. wind. arch. t-kougei. ac. jp/info_center/pollution/NonIsothermal_Flow.html.
    [14] ZHOU X, YING A, CONG B, et al. Large eddy simulation of the effect of unstable thermal stratification on airflow and pollutant dispersion around a rectangular building [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2021, 211: 104526.
    [15] AI Z T, MAK C M. Large-eddy simulation of flow and dispersion around an isolated building: Analysis of influencing factors [J]. Computers & Fluids, 2015, 118: 89.
    [16] GOUSSEAU P, BLOCKEN B, HEIJST G J F VAN . Large-eddy simulation of pollutant dispersion around a cubical building: Analysis of the turbulent mass transport mechanism by unsteady concentration and velocity statistics [J]. Environmental Pollution, 2012, 167: 47.
    [17] TOMINAGA Y, MOCHIDAB A, YOSHIEC R, et al. AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2008, 96: 1749.
    [18] MATHEY F, COKLJAT D, BERTOGLIO J P, et al. Assessment of the vortex method for large eddy simulation inlet conditions, [J]. Progress in Computational Fluid Dynamics, 2006, 6(1/3): 58.
    [19] KADER B A. Temperature and concentration profiles in fully turbulent boundary layers [J].International Journal of Heat and Mass Transfer, 1981, 24(9): 1541.
    [20] BAZDIDI-TEHRANI F, GHOLAMALIPOUR P, KIAMANSOURI M, et al. Large eddy simulation of thermal stratification effect on convective and turbulent diffusion fluxes concerning gaseous pollutant dispersion around a high-rise model building [J]. Journal of Building Performance Simulation, 2018, 12(1): 97.
    [21] LI W W, MERONEY R N. Gas dispersion near a cubical model building. Part Ⅱ. Concentration fluctuation measurements [J]. Journal of Wind Engineering and Industrial Aerodynamics, 1983, 12(1): 35.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

周晅毅,马慧心,顾明.考虑羽流浮力影响的高层建筑周围污染物扩散数值模拟[J].同济大学学报(自然科学版),2022,50(6):767~775

复制
分享
文章指标
  • 点击次数:235
  • 下载次数: 606
  • HTML阅读次数: 360
  • 引用次数: 0
历史
  • 收稿日期:2021-10-15
  • 在线发布日期: 2022-07-04
文章二维码