Probabilistic evaluation of the aerodynamic properties of a bridge deck

Bruno, Luca; Fransos, Davide

doi:10.1016/j.jweia.2011.03.007

Cited by 10 publications

(2 citation statements)

References 31 publications

(59 reference statements)

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“…9 in [5] ). In particular, the large values of t − a v g(c y ) of the LES by [3] were probably not due a lack of convergence, since a careful check of the statistical convergence had been carried out, nor to an asymmetry of the grid. In this framework, we think that the values obtained in our simulations may be acceptable as a starting point for the following stochastic sensitivity analysis.…”

Section: Convergence Analysis Of the Time-statisticsmentioning

confidence: 99%

Stochastic analysis of the impact of freestream conditions on the aerodynamics of a rectangular 5:1 cylinder

et al. 2016

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a b s t r a c tUncertainty plays a significant role in the Benchmark on the Aerodynamics of a Rectangular Cylinder (BARC) with a chord-to-depth ratio of 5. In particular, besides modeling and numerical errors, in numerical simulations it is difficult to exactly reproduce the experimental conditions due to uncertainties in the set-up parameters, which sometimes cannot be exactly controlled or characterized. In this study, the impact of the uncertainties in the inflow conditions of the BARC configuration is investigated by using probabilistic methods and two-dimensional URANS simulations. The following uncertain set-up parameters are investigated: the angle of incidence, the freestream longitudinal turbulence intensity and the freestream turbulence length scale. The stochastic collocation method is employed to perform the probabilistic propagation of the uncertainty in the three set-up parameters. This results in 25 URANS simulations based on the Smolyak sparse grid extension of the level-2 Clenshaw-Curtis quadrature points. The discretization error is estimated by repeating the same analysis on different grid sizes. Similarly, the effect of turbulence modeling is appraised by carrying out the uncertainty quantification for the Reynolds stress and the SST k − ω models. Finally, the results obtained for different assumed probability density functions of the set-up parameters are compared. The propagation of the considered uncertainties does not explain alone the dispersion of the BARC experimental data. For certain quantities of interest, the effect of turbulence modeling is more important than the impact of the uncertainties in inflow conditions. The sensitivity to the considered uncertainties also varies with the turbulence model, with a larger variability of the results obtained with the Reynolds stress model. The inflow turbulence length scale is in all cases the least important parameter.

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Section: Convergence Analysis Of the Time-statisticsmentioning

confidence: 99%

Stochastic analysis of the impact of freestream conditions on the aerodynamics of a rectangular 5:1 cylinder

et al. 2016

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“…However, experimental measurements are prone to uncertainties in a number of parameters: for instance, experimental measurement errors, insufficient characterization of turbulent flow properties, inaccuracies in the geometry of the sectional model [1] or dispersion in the dynamic properties of the sectional model such as frequencies and/or damping ratios [2]. Several authors have remarked the importance of uncertainties associated with inflow boundary conditions such as angle of attack (AoA), turbulence intensity or length scale [3][4][5][6]. In this study, the focus has been put on the sensitivity of force coefficients and aerodynamic derivatives to the uncertainty in the wind angle of attack, which has not been systematically studied in bridge engineering applications to date.…”

Section: Introductionmentioning

confidence: 99%