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  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学、上海市能源研究会、上海电气(集团)总公司
  • 主  编:
  • 陈康民
  • 地  址:
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  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55272843
  • 电子邮件:
  • eribjb@usst.edu.cn
  • 国际标准刊号:
  • 1008-8857
  • 国内统一刊号:
  • 31-1410/TK
  • 邮发代号:
  • 单    价:
  • 5.00
  • 定    价:
  • 20.00
紊流模型预测街道峡谷流场能力的定量指标评价
Quantitative index evaluation of the predictability of flow field in the street canyons by turbulent models
投稿时间:2020-08-01  
DOI:10.13259/j.cnki.eri.2021.02.002
中文关键词:  街道峡谷  紊流模型  流场  定量指标
英文关键词:street canyon  turbulent model  flow field  quantitative index
基金项目:上海市级大学生创新创业训练计划项目(SH2020123)
作者单位
谢海英 上海理工大学 环境与建筑学院,上海 200093 
王晓晓 上海理工大学 环境与建筑学院,上海 200093 
杨怡 上海理工大学 环境与建筑学院,上海 200093 
曾天林 上海理工大学 环境与建筑学院,上海 200093 
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中文摘要:
      选取标准k−ε模型、realizable k−ε模型、重整化群(RNG) k−ε模型和剪切应力传输(SST) kω模型分别对街道峡谷水槽模型试验的时均速度和脉动强度进行了数值模拟,并依据文献给出的试验数据定性比较了各紊流模型的预测能力;按模型预测值应满足的基本和较高要求共给出6个定量评价指标(IFAC2IFBIFAC2−NLVIFAC20%IFAC20%−NLVINMSE)。结果表明:RNG kε模型对流动的综合预测能力最好,其次是标准 kε模型,realizable kε模型表现一般,而SST kω模型表现相对较差;定量与定性的评价结果基本一致,但定量指标能给出更明确的判断依据,尤其当模型结果差异性不显著时,可利用多个定量指标综合评判。
英文摘要:
      The standard k-ε model, realizable k-ε model, renormalization group (RNG) k-ε model and shear-stress transport (SST) k-ω model were selected to numerically simulate the time-averaged and fluctuating velocity field of street canyons in the water channel experiment, and the predictability of each turbulence model was qualitatively compared based on the experimental data from the literatures. Then a total of six evaluation indices (IFAC2, IFB, IFAC2-NLV, IFAC20%, IFAC20%-NLV, and INMSE) were used to give quantitative assessments of these turbulent models. The results show that RNG k-ε model is the best model in terms of the comprehensive predictability and follows by standard k-ε model. The performance of realizable k-ε is acceptable while that of SST k-ω model ranks the worst. Quantitative and qualitative evaluation results were basically the same. But the quantitative indices can provide a clear judgment criterion. Especially when the difference among the models is minor, multiple indices can be used for comprehensive evaluation.
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