Abstract
The simulation of the pantograph-catenary dynamic interaction has become an essential tool for the design of the overhead contact line. With the help of an efficient simulation strategy, the geometry of the catenary can be optimised in terms of the current collection quality. This work is a first attempt to obtain robust optimised catenaries in which the uncertainty caused by the installation errors is taken into account in the simulations. The optimisation problem is solved by means of a Bayesian Optimisation algorithm and the stochastic objective function is evaluated via Monte Carlo simulations. The results show, on the one hand, the good performance of the Bayesian Optimisation technique when compared with a Genetic Algorithm, and on the other hand, the coincidence between the deterministic and the robust optimal catenaries.
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Acknowledgements
The authors would like to acknowledge the financial support received from the Regional Government of Valencia (PROMETEO/2016/007) and the Spanish Ministry of Economy, Industry and Competitiveness (TRA2017-84736-R).
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Gregori, S., Tur, M., Pedrosa, A., Fuenmayor, F.J. (2019). The Use of Bayesian Optimisation Techniques for the Pantograph-Catenary Dynamic Interaction Stochastic Problem. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_86
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DOI: https://doi.org/10.1007/978-3-319-97773-7_86
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