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Numerical ABL Wind Tunnel Simulations with Direct Modeling of Roughness Elements Through Immersed Boundary Condition Method

  • Bruno LopezEmail author
  • Gabriel Usera
  • Gabriel Narancio
  • Mariana Mendina
  • Maritn Draper
  • Jose Cataldo
Conference paper
Part of the ERCOFTAC Series book series (ERCO, volume 23)

Abstract

Reproduction of atmospheric boundary layer wind tunnel experiments by numerical simulation is achieved in this work by directly modeling, with immersed boundary method, the geometrical elements placed in the wind tunnel’s floor to induce the desired characteristics to the boundary layer. The numerical model is implemented on the basis of the open-source flow solver caffa3d.MBRi, which uses a finite volume method over block structured grids, coupled with various LES approaches for turbulence modeling and parallelization through domain decomposition with MPI. The Immersed boundary method approach followed the work of Liao et al. (Simulating flows with moving rigid boundary using immersed-boundary method. Comput. Fluids 39, 152–167, 2010). Numerical simulation results are compared to wind tunnel measurements for the mean velocity profiles, rms profiles, and spectrums, providing good overall agreement. We conclude that the Immersed Boundary Condition method is a promising approach to numerically reproduce ABL Boundary Layer development methods used in physical modeling.

Keywords

Wind Tunnel Large Eddy Simulation Atmospheric Boundary Layer Roughness Element Wind Tunnel Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by grant FSE-2011-6015 from ANII.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Bruno Lopez
    • 1
    Email author
  • Gabriel Usera
    • 1
  • Gabriel Narancio
    • 1
  • Mariana Mendina
    • 1
  • Maritn Draper
    • 1
  • Jose Cataldo
    • 1
  1. 1.IMFIAMontevideoUruguay

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