TY - GEN
T1 - Reconstruction of wall shear-stress fluctuations in a shallow tidal river
AU - Mathis, R.
AU - Marusic, I.
AU - Cabrit, O.
AU - Jones, Nicole L.
AU - Ivey, Gregory N.
PY - 2016
Y1 - 2016
N2 - © Springer International Publishing Switzerland 2016.In this paper, we investigate the applicability of the predictive wall shearstress model, recently developed by Mathis et al. J. Fluid Mech. 715, 163-180, 2013, [17], to environmental flows where near-wall information is typically inaccessible. This wall-model, which embeds the scale interaction mechanisms of superposition and modulation, is able to reconstruct the instantaneous wall (bed) shear-stress fluctuations in turbulent boundary layers. The database considered here comes from field measurements using acoustic Doppler velocimeters carried out in a shallow tidal channel (Suisun Slough in North San Francisco Bay). The model is first applied to a selected subset of data sharing common properties with the canonical turbulent boundary layer. Statistics and energy content of these predictions are found to be consistent with laboratory predictions and DNS results. The model is then used on the whole dataset, whose some of them having properties far from the canonical case. Even for these situations, the model is able to preserve the overall Reynolds trend. This study shows the great capability of the model for environmental applications, which is the only one able to predict both the correct energetic content and probability density function.
AB - © Springer International Publishing Switzerland 2016.In this paper, we investigate the applicability of the predictive wall shearstress model, recently developed by Mathis et al. J. Fluid Mech. 715, 163-180, 2013, [17], to environmental flows where near-wall information is typically inaccessible. This wall-model, which embeds the scale interaction mechanisms of superposition and modulation, is able to reconstruct the instantaneous wall (bed) shear-stress fluctuations in turbulent boundary layers. The database considered here comes from field measurements using acoustic Doppler velocimeters carried out in a shallow tidal channel (Suisun Slough in North San Francisco Bay). The model is first applied to a selected subset of data sharing common properties with the canonical turbulent boundary layer. Statistics and energy content of these predictions are found to be consistent with laboratory predictions and DNS results. The model is then used on the whole dataset, whose some of them having properties far from the canonical case. Even for these situations, the model is able to preserve the overall Reynolds trend. This study shows the great capability of the model for environmental applications, which is the only one able to predict both the correct energetic content and probability density function.
U2 - 10.1007/978-3-319-20388-1_22
DO - 10.1007/978-3-319-20388-1_22
M3 - Conference paper
SN - 9783319203874
T3 - European Research Community on Flow, Turbulence and Combustion (ERCOFTAC) Series
SP - 247
EP - 257
BT - Progress in Wall Turbulence 2
A2 - Jimenez, J
A2 - Marusic, I
A2 - Stanislas, M
PB - Springer
T2 - 2nd WALLTURB Workshop on Understanding and modelling of wall turbulence, 2014
Y2 - 18 June 2014 through 20 June 2014
ER -