DOI: 10.1007/978-1-4020-8578-9_10
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Influence of Time Step Size and Convergence Criteria on Large Eddy Simulations with Implicit Time Discretization

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Cited by 21 publications
(7 citation statements)
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“…The time step of the simulation was reduced for the denser mesh (from 0.5s to 0.2s to 0.1s) to arrive at expected maximum cell Courant numbers between 3.75 and 0.46, in line with Kornhaas [22]. Figure 3 and 4 present the progressive Relative infection risk as a function of time for the different time steps (relating to the calculation of the particle trajectories) and grid sizes (see Table 1).…”
Section: Simulationsmentioning
confidence: 96%
“…The time step of the simulation was reduced for the denser mesh (from 0.5s to 0.2s to 0.1s) to arrive at expected maximum cell Courant numbers between 3.75 and 0.46, in line with Kornhaas [22]. Figure 3 and 4 present the progressive Relative infection risk as a function of time for the different time steps (relating to the calculation of the particle trajectories) and grid sizes (see Table 1).…”
Section: Simulationsmentioning
confidence: 96%
“…The SIMPLE algorithm was used for pressureevelocity coupling. A firstorder implicit scheme was used for time integration with a variable time step in the range 10 À5 se5 Â 10 À5 s. Kornhaas et al (2008) suggest an optimal value of the Courant number equal to 2 for a sufficiently realistic LES simulation. In the present study, the Courant number, corresponding to the mesh resolution and the time step range chosen, was maintained below 2.…”
Section: Numerical Tools and Simulation Strategymentioning
confidence: 99%
“…Following the works of Kornhass et al [87] and Ai and Mak [88], the obtained velocity time-series for the three time-steps were transformed to the frequency domain using the fast Fourier transformation (FFT) technique. Figure 6 presents the spectra of turbulence energy generated for the U x and U z velocity components, for a point in the upwind side with x/W = 0.1 and z/H = 0.9.…”
Section: Time-stepmentioning
confidence: 99%