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The optimisation of train make-up and train handling-simulating longitudinal train dynamics.

The South African rail industry is undergoing a phase of restructuring and much focus
is concentrated on re-engineering i.e. optimising the utilisation of available assets and
using existing technology in order to improve efficiency; attention shifts to improved
heavy haul asset management through train performance models.
The computer programs presented in this thesis have been developed to calculate
longitudinal in-train forces accruing in long heavy haul trains and their effect on train
operations. The model of the train is implemented by dedicated differential equations
for the movements of each vehicle. The simulation is menu driven for all input and
output decisions using Microsoft Excel while the engine for the dynamic analysis is
ACSL (Advanced Continuous Simulation Language).
The main program is capable of simulating the operation of any train configuration
over any route, including remote operation.
The thesis comprises: -
• a discussion on the need for alternative train configurations based on the current
fleet and the potential of such operating changes;
• the comparison of the dynamic response of trains operating with only head-end
locomotives, trains operating with both head-end locomotives and remote
locomotives and trains operating with different class locomotives in one
locomotive consist;
• the investigation of the lateral effects in the different train consists as a function of
the longitudinal in-train force in the simulation environment;
• the advantages of operating with remote locomotives in terms of increased train
length, reduced force spectrum on vehicle components and improved energy
consumption;
• the implications of the optimum position of the in-train locomotive consist on
loading and unloading operations;
• the implications of different train configurations on driver technique or train handling
and the need for an optimum driving strategy to gain maximum benefit
from the locomotives. / Thesis (M.Sc.Eng)-University of Natal, Durban, 2000.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/9043
Date January 2000
CreatorsMajola, Lumko.
ContributorsVerijenko, Viktor., Adali, Sarp.
Source SetsSouth African National ETD Portal
Languageen_ZA
Detected LanguageEnglish
TypeThesis

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