The scalar dispersion from a line source downstream of a square obstacle immersed in a fully turbulent boundary layer is investigated by means of Reynolds-Averaged Navier-Stokes simulations. A second-order accurate finite-volume method is employed in the analysis and several turbulence closure, namely the k-epsilon, the k-omega and a Reynolds Stress Transport (RST) model are adopted and compared. The scalar transport is approximated to a passive mechanism and the modeling of turbulent scalar fluxes is based on a constant turbulent Schmidt number. The most interesting result obtained from the RANS-based analysis is that a very accurate prediction of local mean velocity profiles does not represent the key requirement in the scalar dispersion process, which is found dominated by the estimated level of eddy-diffusivity for the scalar

Numerical simulation of scalar dispersion downstream of a square obstacle, Part I: Reynolds-averaged Navier-Stokes simulations

ROSSI, RICCARDO;FABBRI, GIAMPIETRO
2008

Abstract

The scalar dispersion from a line source downstream of a square obstacle immersed in a fully turbulent boundary layer is investigated by means of Reynolds-Averaged Navier-Stokes simulations. A second-order accurate finite-volume method is employed in the analysis and several turbulence closure, namely the k-epsilon, the k-omega and a Reynolds Stress Transport (RST) model are adopted and compared. The scalar transport is approximated to a passive mechanism and the modeling of turbulent scalar fluxes is based on a constant turbulent Schmidt number. The most interesting result obtained from the RANS-based analysis is that a very accurate prediction of local mean velocity profiles does not represent the key requirement in the scalar dispersion process, which is found dominated by the estimated level of eddy-diffusivity for the scalar
2008
Atti del XXVI Congresso Nazionale sulla Trasmissione del Calore
377
382
R. Rossi; G. Iaccarino; G. Fabbri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/69789
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