CFD simulations of the wind environment at shonai airport integrated with weather prediction data

K. Shimoyama, I. I. Nakanomyo, S. Obayashi

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Ind environment at an airport is affected by geographic feature. In Japan, Shonai Airport is known to liave wind shear over the runway due to the turbulence induced by the neighboring hill frequently in winter. This study performed large eddy simulation (LES) to investigate the turbulence around Shonai Airport. The initial and boundary conditions were given according to the weather prediction data by the Japan Meteorological Agency non-hydrostatic model (JMANHM). These data were downscaled and transferred to LES domains, which considered actual geographical features as the boundary conditions on the ground, using the two-way nesting method. The present simulations indicated that geographical features may have an significant in-fluence on the turbulence appearing in flight path, i.e., aircraft safety depending on wind direction. In addition, it was also indicated that the present simulation can predict the turbulence induced by geographical features, and agree with the turbulence, which was actually observed by the Doppler radar.

Original languageEnglish
Publication statusPublished - 2012 Jan 1
Event7th International Conference on Computational Fluid Dynamics, ICCFD 2012 - Big Island, United States
Duration: 2012 Jul 92012 Jul 13

Conference

Conference7th International Conference on Computational Fluid Dynamics, ICCFD 2012
CountryUnited States
CityBig Island
Period12/7/912/7/13

Keywords

  • Airport
  • Les
  • Weather prediction
  • Wind

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Computational Mechanics
  • Mechanical Engineering
  • Mechanics of Materials
  • Condensed Matter Physics

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  • Cite this

    Shimoyama, K., Nakanomyo, I. I., & Obayashi, S. (2012). CFD simulations of the wind environment at shonai airport integrated with weather prediction data. Paper presented at 7th International Conference on Computational Fluid Dynamics, ICCFD 2012, Big Island, United States.