Influence of the Number of Measuring Point on Singular Modes in Prediction of Pedestrian-level Wind Environment Using Large-eddy Simulation

DOI
  • SANEMITSU Toshiki
    Department of Civil Engineering, Faculty of Science and Technology, Tokyo University of Science
  • IKEGAYA Naoki
    Faculty of Engineering Sciences, Kyushu University

Bibliographic Information

Other Title
  • Large-eddy simulationによる歩行者空間での風環境予測における計測点数による特異モードに対する影響

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Description

The effects of an urban geometry on turbulent airflow at a pedestrian level have been investigated through wind-tunnel experiments and numerical simulations. However, previous studies faced limitations in storing sufficient datasets for understanding the dominant coherent motion. This study investigates the effect of the spatial resolutions of the datasets on extracted dominant modes of the pedestrian-level wind within a simplified canopy determined by large-eddy simulations. Singular value decomposition analysis was performed on both the original and down-sampled datasets. The results revealed similar singular modes across the different sampling resolutions. Additionally, low-rank approximation analysis was performed on the wind speed fields at pedestrian level to understand the influence of dominant modes on the gusty winds. The results suggested that not only low-rank but also high-rank modes are important in determining gusty phenomena, implying that the interrelationships between modes are necessary.

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Details 詳細情報について

  • CRID
    1390024246556827648
  • DOI
    10.5359/jwe.50.29
  • ISSN
    1349340X
    13493507
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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