Large scale numerical modelling of slurry flow in horizontal pipelines has been carried out. A combination of analytical and commercial CFD modelling, with Eulerian two-phase flow models, has been used in the present investigation. The modelling results are validated with well-documented experimental data and are found to be in good agreement. Flow regime maps were developed and pressure drops calculated for a wide range of flow rates, particle sizes and solid concentrations. It was observed that flow regime maps calculated with analytical empirical correlations near the transition flow regimes are unreliable. It is concluded that the performance of this model at the presented scales allows for application at smaller scales that still feature turbulent flows.The Eulerian-granular multiphase flow model has been used in the present study. The Eulerian model solves momentum and continuity equations for each phase. Coupling between the phases is implemented through the pressure and interphase exchange coefficients. In this model, the different phases are treated as inter-

Gas transport in corrugated pipes often exhibit whistling behavior, due to periodic flow-induced pulsations generated in the pipe cavities. These aero-acoustic sources are strongly dependent on the geometrical dimensions and features of the cavities. As a result, uncertainties in the exact shape and geometry play a significant role in determining the singing behavior of corrugated pipes. While predictive modelling for idealized periodic structures is well established, this paper focusses on the sensitivity analysis and uncertainty quantification (UQ) of uncertain geometrical parameters using probabilistic models. The two most influential geometrical parameters varied within this study are the cavity width and downstream edge radius. Computational Fluid Dynamics (CFD) analysis was used to characterize the acoustic source. Stochastic collocation method was used for propagation of input parameter uncertainties. The analysis was performed with both full tensor product grid and sparse grid based on level-2 Clenshaw-Curtis points. The results show that uncertainties in the width and downstream edge radius of the cavity have an effect on the acoustic source power, peak Strouhal number and consequently the whistling onset velocity. Based on the assumed input parameters distribution functions, the confidence levels for the prediction of onset velocity were calculated. Finally, the results show the importance of performing uncertainty analysis to get more insights in the source of errors and consequently leading to a more robust design or risk-management oriented decision.