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  • The paper deals with the stochastic generation of synthesized turbulence, which may be used for a generating of an inlet boundary condition for unsteady simulations, e.g. Direct Numerical Simulation (DNS) or Large Eddy Simulation (LES). Assumptions for the generated turbulence are isotropy and homogeneity. The described method produces a stochastic turbulent velocity field using the synthesis of a finite sum of random Fourier modes. The calculation of individual Fourier modes is based on known energy spectrum of turbulent flow, and some turbulent quantities, e.g. turbulent kinetic energy and turbulent dissipation rate. A division of wave number range of the energy spectrum determines directly the number of Fourier modes, and has a direct impact on accuracy and speed of this calculation. Therefore, this work will examine the influence of the number of Fourier modes on a conservation of the first and second statistical moments of turbulent velocity components, which are prespecified. It is important to
  • The paper deals with the stochastic generation of synthesized turbulence, which may be used for a generating of an inlet boundary condition for unsteady simulations, e.g. Direct Numerical Simulation (DNS) or Large Eddy Simulation (LES). Assumptions for the generated turbulence are isotropy and homogeneity. The described method produces a stochastic turbulent velocity field using the synthesis of a finite sum of random Fourier modes. The calculation of individual Fourier modes is based on known energy spectrum of turbulent flow, and some turbulent quantities, e.g. turbulent kinetic energy and turbulent dissipation rate. A division of wave number range of the energy spectrum determines directly the number of Fourier modes, and has a direct impact on accuracy and speed of this calculation. Therefore, this work will examine the influence of the number of Fourier modes on a conservation of the first and second statistical moments of turbulent velocity components, which are prespecified. It is important to (en)
Title
  • On stochastic inlet boundary condition for unsteady simulations
  • On stochastic inlet boundary condition for unsteady simulations (en)
skos:prefLabel
  • On stochastic inlet boundary condition for unsteady simulations
  • On stochastic inlet boundary condition for unsteady simulations (en)
skos:notation
  • RIV/00216305:26210/13:PU106797!RIV14-GA0-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA13-27505S)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 93821
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/13:PU106797
http://linked.open...riv/jazykVysledku
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  • computaional fluid dynamics, inlet boundary condition, synthesized turbulence, Fourier mode (en)
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http://linked.open...ontrolniKodProRIV
  • [25DB95069083]
http://linked.open...v/mistoKonaniAkce
  • Kutná Hora
http://linked.open...i/riv/mistoVydani
  • Kutná Hora
http://linked.open...i/riv/nazevZdroje
  • International Conference Experimental Fluid Mechanics 2013 Conference Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
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  • Jícha, Miroslav
  • Čermák, Libor
  • Niedoba, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Technická univerzita v Liberci
https://schema.org/isbn
  • 978-80-260-5375-0
http://localhost/t...ganizacniJednotka
  • 26210
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