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Virtual test method of structure-borne sound for a metro bogie
[EN] This paper presents a virtual test method for structure-borne noise generated from railway running gear. This method combines a number of existing tools to form a system approach. The wheelset and bogie frame are modelled using FEM software Nastran to include details of their construction. The primary springs are simplified to standard CBUSH elements in Nastran with point and transfer stiffness modelled by frequency-dependent complex stiffness, which are tuned against measurements. The wheel-rail contact forces due to roughness excitation are obtained by the wheel-rail interaction tool TWINS. The vibration of the full running gear is simulated in Nastran by applying the wheel-rail contact forces. The forces transmitted to the vehicle body through traction bars and dampers are calculated for predicting structure-borne noise. ; The work presented in this paper has received funding from the Shift2Rail Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement no. 777564. The contents of this publication only reflect the authors¿ view and the Joint Undertaking is not responsible for any use that may be made of the information contained in the paper. Provision of vehicle data from CAF Spain is gratefully acknowledged. ; Xie, G.; Rissman, M.; Bouvet, P.; Liu, X.; Thompson, DJ.; Baeza González, LM.; Moreno, J. (2021). Virtual test method of structure-borne sound for a metro bogie. Springer Nature. 186-193. https://doi.org/10.1007/978-3-030-70289-2_18 ; S ; 186 ; 193 ; Thompson, D.: Railway Noise and Vibration: Mechanism, Modelling and Means, 1st edn. Elsevier, Oxford (2009) ; Thompson, D., Hemsworth, B., Vincent, N.: Experimental validation of the TWINS prediction program for rolling noise, part 1: description of the model and method. J. Sound Vib. 193, 123–135 (1996) ; Report: Deliverable 4.2 – Complete virtual test method for structure-borne and airborne noise transmission, EU Shift2Rail/H2020 project RUN2rail (2019) ; MSC NASTRAN Quick reference guide (2018)
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