To assess the cross-wind stability of rail vehicles methods of different degrees of complexity have been developed in the previous two decades. Simple methods are based on predictive equations to estimate the aerodynamic load coefficients. These simple methods are usually applied for vehicles that are insensitive to cross-winds such as locomotives and power cars or for a first assessment when no wind-tunnel data is available or required. They are also used to choose the most sensitive car within a train composition for a more detailed subsequent analysis. In recent applications it has been experienced that there is a mismatch between the equations and empirical data gained from wind-tunnel tests and CFD simulations in some part of the application range. This leads to some unrealistic behaviour of the predictive equations in some relevant cases. The mathematical formulation of the commonly applied predictive equations is analysed in the present work. A set of alternative equations is formulated and adjusted to be consistent with empirical and theoretical characteristics of aerodynamic load coefficients. The characteristics of the proposed equations are compared to both, the common predictive equations and supporting empirical data. Advantages of the proposed formulation are highlighted and the equations are applied to some illustrative examples.
On the prediction of the aerodynamic roll moment for cross-wind assessment based an empirical equations: A proposal for updating current procedures
2013
9 Seiten, 3 Bilder, 1 Tabelle, 5 Quellen
Aufsatz (Konferenz)
Englisch
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