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Turbulence Generators and Turbulence Structure

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Advances in Mathematical Modeling and Scientific Computing (ICRDM 2022)

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Abstract

Turbulence in the flow impacts the peak pressure on buildings by more than 100% in certain locations, and in the same way, it impacts many phenomena in several industrial applications. Understanding turbulence will improve the process of computing peak pressure on buildings. In this work, methods to identify the turbulence structure are reviewed. Then, Q-criterion, vorticity in z, and magnitude of vorticity are used to evaluate the turbulence structure developed using inflow turbulence generators based on random Fourier method (NSRFG and CSDE) and precursor method. Iso-surfaces and contours on planes are used to visualize the turbulence structure.

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Authors and Affiliations

  1. Univeristy of Arkansas, Fayetteville, AR, USA

    R. Panneer Selvam

Authors
  1. R. Panneer Selvam
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Correspondence to R. Panneer Selvam .

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Editors and Affiliations

  1. Department of Electrical Engineering, Canadian University Dubai, Dubai, United Arab Emirates

    Firuz Kamalov

  2. Department of Mathematics, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    R. Sivaraj

  3. Department of Mathematical Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

    Ho-Hon Leung

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Panneer Selvam, R. (2024). Turbulence Generators and Turbulence Structure. In: Kamalov, F., Sivaraj, R., Leung, HH. (eds) Advances in Mathematical Modeling and Scientific Computing. ICRDM 2022. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-41420-6_24

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