Abstract
This paper presents computational methods that are used by rolling stock manufacturers to predict noise inside vehicles. For airborne transmission, which dominates in the medium-high frequency range, a four-step procedure is applied: source description by their emitted sound power level, propagation of noise to the train’s exterior surface, panel transmission loss and acoustic response of the interior cavity. Reasonable agreement between computations and measurements is usually obtained, and the method makes it possible to rank the different source contributions and airborne transmission paths. Structure borne noise dominates in low frequencies. Finite Element models are used to improve car body design (dynamic stiffness at input points and carbody vibroacoustic transfers), but they do not cover the whole problem since the modelling of excitation from the bogie is not included. Recent research allowing the computation of blocked forces at car body input points and starting with wheel/rail interaction is briefly presented. Concerning source modelling, a focus is made on traction noise, including electromagnetic excitations in electric motors and mechanical excitations due to the meshing process inside gearboxes. Efficient computational methods and validation examples are presented. The coupling of these methods with optimization methods has great potential for improvement of motor noise and vibration design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Moorhouse, A.: In situ measurement of the blocked force of structure-borne sound sources. J. Sound Vibr. 325(4), 679–685 (2009)
Schleinzer, G., Kern, T.: Transfer path analysis on a siemens combino-plus tram in Almada – seixal (Lisbon). In: Proceedings of IWRN 11 (2013)
Poisson, F., Loizeau, T., Bouvet, S., Vincent, N., Transfer path analysis within a TGV Duplex coach. ICSV16, Krakov, 5–9 July (2009)
Report: Deliverable 7.1, Review of state of the art for industrial interior noise prediction, EU Shift2Rail project FINE 1 (2017)
Sapena, J., Latorre, E., Recorbet, S., Bistagnino, A., Vallespín, A.: Railway rolling stock - Validation is not a must, it is a support to reduce risk. In: proceedings of NOVEM (2018)
Kohrs, T., et al.: Sound propagation and distribution around typical train carbody structures. In: Proceedings of EURONOISE (2018)
Bistagnino, A., et al.: Computation of parietal pressures of rolling stock vehicles. In: Proceedings of IWRN 11 (2013)
Li, H., Thompson, D., Squicciarini, G., Liu, X., Rissmann, M., Denia, F., Giner-Navarro, J.: Using a 2.5D BE model to determine the sound pressure on the external train surface. In: Proceedings of IWRN13 (2019)
Poisson, F., et al.: Transfer path analysis within the TGV duplex driver cab, platforms, upper and lower rooms from 150 to 360 km/h. In: Proceedings of WCRR (2011)
Gabet, P., et al.: Prediction of acoustic comfort of a trainset. In: Proceedings of SIA Conferences (2008)
Sanei, N., et al.: Structure borne noise characterization of an air generation and treatment unit (AGTU) for a train by using blocked forces method. In: Proceedings of Internoise (2019)
Elliott, A., et al.: Structure borne noise characterization of an air generation and treatment unit (AGTU) for a train using the mobility method and sub-structuring. In: Proceedings of Internoise (2019)
Xie, G., et al.: Virtual test method of structure borne sound for a metro bogie. In: Proceedings of IWRN 13 (2019)
Marinescu, M., Marinescu, N.: Numerical computation of torques in permanent magnet motors by maxwell stresses and energy method. IEEE Trans. Mag. 24 (1), 463–466 (1988)
Humbert, L.: Electromagnetic and structural coupled simulation to investigate NVH behavior of an electrical automotive powertrain. In: Proceedings of ISNVH Conf. Graz (2012)
Dupont, J.-B., et al.: Noise radiated by electric motors: simulation process and overview of the optimization approaches. In: Proceedings of ATZ Conference (2017)
Dupont, J.-B., Jeannerot, M.: Multi-objective optimization of electrical machines including NVH, performance and efficiency considerations. In: Proceeding of SIA Powertrain Conference (2019)
Perret-Liaudet, J.: An original method for computing the response of a parametrically excited forced system. J. Sound Vibr. 196, 165–177 (1996)
Carbonelli, A.: Modeling of gearbox whining noise. In: Proceeding of, ISNVH Conference (2014)
Carbonelli, A., Guerder, J.-Y.: Computing and minimizing the whining noise – application to a bogie gearbox. In: Proceedings of VDI Congress (2017)
Carbonelli, A., et al.: Robust optimization of a truck timing gear cascade: numerical and experimental results. In: 21ème Congrès Français de Mécanique (2013)
Acknowledgement
For structure borne models, financial support from the EU (grant no. 777564) and collaboration with CDH and ISVR are gratefully acknowledged.
For gearbox noise, the French National Research Agency has also supported research works through the joint laboratory LADAGE (ANR-14-Lab6-003) issued from the collaboration between LTDS-Ecole Centrale de Lyon and VIBRATEC. The support from ALSTOM is also acknowledged (ref. [20]).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Bouvet, P., Rissmann, M. (2021). Industrial Methodologies for the Prediction of Interior Noise Inside Railway Vehicles: Airborne and Structure Borne Transmission. In: Degrande, G., et al. Noise and Vibration Mitigation for Rail Transportation Systems. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-030-70289-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-70289-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-70288-5
Online ISBN: 978-3-030-70289-2
eBook Packages: EngineeringEngineering (R0)