Influence of Turbulence Modeling on Cfd Simulation Results of Tornado-Structure Interaction
Abstract
Tornadic wind flow is inherently turbulent. A turbulent wind flow is characterized by fluctuation of the velocity in the flow field with time, and it is a dynamic process that consists of eddy formation, eddy transportation, and eddy dissipation due to viscosity. Properly modeling turbulence significantly increases the accuracy of numerical simulations. The lack of a clear and detailed comparison between turbulence models used in tornadic wind flows and their effects on tornado induced pressure demonstrates a significant research gap. To bridge this research gap, in this study, two representative turbulence modeling approaches are applied in simulating real-world tornadoes to investigate how the selection of turbulence models affects the simulated tornadic wind flow and the induced pressure on structural surface. To be specific, LES with Smagorinsky-Lilly Subgrid and k-ω are chosen to simulate the 3D full-scale tornado and the tornado-structure interaction with a building present in the computational domain. To investigate the influence of turbulence modeling, comparisons are made of velocity field and pressure field of the simulated wind field and of the pressure distribution on building surface between the cases with different turbulence modeling.
Recommended Citation
R. Honerkamp et al., "Influence of Turbulence Modeling on Cfd Simulation Results of Tornado-Structure Interaction," Wind and Structures, An International Journal, vol. 35, no. 2, pp. 131 - 146, Techno Press, Aug 2022.
The definitive version is available at https://doi.org/10.12989/was.2022.35.2.131
Department(s)
Mechanical and Aerospace Engineering
Second Department
Civil, Architectural and Environmental Engineering
Keywords and Phrases
CFD; civil engineering; pressure; tornado; turbulence models; velocity
International Standard Serial Number (ISSN)
1598-6225; 1226-6116
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023, All rights reserved.
Publication Date
01 Aug 2022
Comments
National Science Foundation, Grant 1455709