Optimisation of Railway Switches and Crossings
Doktorsavhandling, 2014

Methods for simulation-based optimisation of the design of railway turnouts (switches & crossings, S&C) are developed and demonstrated. Building on knowledge of dynamic wheel–rail interaction in turnouts, it is investigated how rail profile degradation can be reduced by the optimisation of geometry and component stiffness of the track superstructure. It is assumed that reduced rail profile degradation will reduce the Life Cycle Cost (LCC) of turnouts. In order to obtain robust optimised designs that perform well in situ, the influence of spread in traffic parameters, such as wheel profile and wheel–rail friction coefficient, is accounted for in the optimisations. For this purpose, studies of the correlation between wheel profile characteristics and damage in S&C are performed to allow for an efficient parameter sampling using the Latin Hypercube Sampling method. Track gauge optimisation in the switch panel is performed using a multi-objective optimisation approach to highlight the design trade-off in performance between different traffic routes and moves. The objective is to minimise rail and wheel wear as estimated by the energy dissipation in the wheel‒rail contacts. As track gauge widening affects the switch rail design, the switch rail geometry is linked to the gauge widening in the parameterisation. It is found that gauge configurations with a large maximum gauge widening for the straight stock rail are optimal for both the through and diverging routes, while the results for the curved stock rail show a more significant route dependence. A method for the optimisation of switch rail profile geometry is presented, where the geometry parameterisation is inspired by a manufacturing process for switch rails. It is found that increased profile height and increased profile shoulder protuberance are preferred to reduce the energy dissipation and wheel‒rail contact pressures when a nominal S1002 wheel profile is used as input. It is concluded that accurate constraints on allowable switch rail loading need to be established to determine the feasible design space for switch rail geometry optimisation. A method for the optimisation of crossing geometry is also introduced. The rail cross-sections are optimised for minimum wheel‒rail contact pressure. Further, the longitudinal height profiles of the wing rails and crossing nose are optimised to minimise an estimate of the accumulated damage in the transition zone. The optimisation is computationally efficient which makes it possible to account for very large samples of wheel profiles. An investigation and demonstration of the constraints imposed on the crossing design by the spread in profile and lateral displacement of passing wheels is presented. Supplementary to the optimisation studies is the comparison of simulation results to field measurement data to evaluate and validate the accuracy of the utilised model of dynamic vehicle‒track interaction, as well as a demonstration of a methodology that simulates rail profile degradation for a given mixed traffic situation.

wheel and rail wear

railway turnout

optimisation

switch & crossing

dynamic vehicle-turnout interaction

Virtual Development Laboratory
Opponent: Stefano Bruni, Politecnico di Milano

Författare

Björn Pålsson

Chalmers, Tillämpad mekanik, Dynamik

Track gauge optimisation of railway switches using a genetic algorithm

Vehicle System Dynamics,; Vol. 50(2012)p. 365-387

Artikel i vetenskaplig tidskrift

Design optimisation of switch rails in railway turnouts

Vehicle System Dynamics,; Vol. 51(2013)p. 1619-1639

Artikel i vetenskaplig tidskrift

Simulation of wheel-rail contact and damage in switches & crossings

Wear,; Vol. 271(2011)p. 472-481

Artikel i vetenskaplig tidskrift

Wheel-rail interaction and damage in switches and crossings

Vehicle System Dynamics,; Vol. 50(2012)p. 43-58

Artikel i vetenskaplig tidskrift

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier

Teknisk mekanik

Infrastrukturteknik

Farkostteknik

ISBN

978-91-7385-978-3

Virtual Development Laboratory

Opponent: Stefano Bruni, Politecnico di Milano