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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 108
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Paper 130
Railway Crashworthiness Optimization with Multibody Systems and Analytical Sensitivities J. Milho1,2, J. Ambrósio2 and M. Pereira2
1Instituto Superior de Engenharia de Lisboa, Lisbon Politechnic Institute, Portugal
, "Railway Crashworthiness Optimization with Multibody Systems and Analytical Sensitivities", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 130, 2015. doi:10.4203/ccp.108.130
Keywords: railway crashworthiness, optimization, multibody systems, analytic sensitivities, automatic differentiation.
Summary
The railway industry requires numerical simulation tools capable of describing the dynamic response of train cars during general crash scenarios and also optimization procedures that can be used efficiently in the earlier design stages of crashworthiness components. In this paper, a computational optimization tool is proposed for the design of train crashworthy components, based on multibody systems and analytical sensitivities. The multibody methodology is used to describe trains as dynamic systems in which the structures of the trains that deform during the train crash are described using a plastic-hinge approach. Optimization algorithms are implemented using analytic sensitivities based on direct differentiation through the computer program ADIFOR (Automatic Differentiation of Fortran) and using numerical sensitivities based on finite differences. The optimization tool is applied to the design of an experimental train crash test to appraise the energy absorption performance of the buffers located in the cars extremities and acting between cars in the same rake. The corresponding optimal solution obtained and the results are discussed in face of the robustness of the overall methodology, particularly, in what the use of analytical sensitivities versus numerical sensitivities are concerned in a practical framework of an industrial application to the design of train crashworthy components.
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