Author/Authors :
Arcidiacono, Gabriele Department of Innovation and Information Engineering - Marconi University, Via Plinio, 44, 00193 Rome, Italy , Berni, Rossella Department of Statistics - Computer Science and Applications - University of Florence, “G. Parenti”, Viale Morgagni,59, 50134, Florence, Italy , Cantone, Luciano Department of Engineering for Enterprise “Mario Lucertini” -University of Rome “Tor Vergata”, Via del Politecnico,1, 00133 Rome, Italy , Nikiforova, Nedka D. Department of Statistics - Computer Science and Applications - University of Florence, “G. Parenti”, Viale Morgagni,59, 50134, Florence, Italy , Placidoli, Pierpaolo Department of Innovation and Information Engineering - Marconi University, Via Plinio, 44, 00193 Rome, Italy
Abstract :
ntroduction: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 (alsoconsidering 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 ofits computational efficiency, the method proposed here can be satisfactorily employed to perform an optimization analysis of traincomposition.
Keywords :
Freight trains , Payload distribution , Longitudinal train dynamics (LTD) , Statistical approach , Strong orthogonal array(SOA) , TrainDy
