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Fast Method to Evaluate Payload Effect on In-Train Forces of Freight Trains
Nedka D. Nikiforova2
Pierpaolo Placidoli1
Authors Info & Affiliations
Abstract
Introduction:
This paper introduces a fast method to evaluate the effect of payload distribution on in-train forces.
Methods:
The method is based on Strong Orthogonal Arrays (SOA) and the excellent space-filling properties of Latin Hypercube Design (LHD): SOA-based-LHD is proved to be very efficient in spanning the range of in-train forces for different types of trains (also considering distributed power/braking) and trains operations.
Results:
The distribution of the percentage of braked mass is used to consider the effect of payload distribution on in-train forces. Because of its computational efficiency, the method proposed here can be satisfactorily employed to perform an optimization analysis of train composition.
