Impact of maintenance conditions of vehicle components on the vehicle

Abstract

To improve the efficiency and competitiveness of railway transport, passenger and freight trains should travel faster and have increased payload, without losing the necessary levels of running safety and ride comfort, as well as assuring low aggressiveness on track and minimising the life cycle costs. Hence, the manufacturer’s challenge consists of improving the dynamic performance of the railway vehicles and reducing the loads on the track as well as on the rolling stock components. These objectives can be achieved through optimizing the design of the vehicle, while taking into consideration that the characteristics of the vehicle and of the track may change over time and space, and that they depend on the maintenance conditions of the vehicle and of the infrastructure. This work proposes a computational methodology to study how the varying vehicle component characteristics, on normal and degraded conditions, impact on the vehicle/track interaction loads and on the track damage. The purpose of this study is to trace a path towards a realistic definition of a load mission profile for the structural fatigue dimensioning of the vehicle components. The assessment criteria and the evaluated quantities are defined according to the EN14363 regulation.

Keywords

Railway dynamics multibody systems vehicle–track interaction railway maintenance track loads

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References

Allota

Conti

Meli

et al.

Railway vehicle dynamics under degraded adhesion conditions: an innovative HIL architecture for braking tests on full-scale roller-rigs. Int J Railway Technol 2013; 2: 21–53.

Hölscher

. The dynamics of foundations for high speed lines on soft soils. Int J Railway Technol 2012; 1: 147–166.

Iwnicki

Bevan

. Damage to railway wheels and rails: a review of the causes, prediction methods, reduction and allocation of costs. Int J Railway Technol 2012; 1: 121–146.

Magalhães

Ambrósio

Pombo

. Railway vehicle modelling for the vehicle-track interaction compatibility analysis. Proc IMechE, Part K: J Multi-body Dynamics 2016; 230: 251–267.

Pombo

Ambrósio

Pereira

et al.

Influence of track conditions and wheel wear state on the loads imposed on the infrastructure by railway vehicles. Comput Struct 2011; 89: 1882–1894.

Shabana

. Absolute nodal coordinate formulation geometry to railroad vehicle system dynamics. Int J Railway Technol 2012; 1: 221–230.

Stichel

Jönsson

Casanueva

et al.

Modelling and simulation of freight wagon with special attention to the prediction of track damage. Int J Railway Technol 2014; 3: 1–36.

Varandas

Hölscher

Silva

. Dynamic behaviour of railway tracks on transitions zones. Comput Struct 2011; 89: 1468–1479.

EN15827. Railway applications – requirements for bogies and running gears, 2011.

10.

Andersson

Berg

Stichel

. Rail vehicle dynamics, fundamentals and guidelines, Stockholm, Sweden: Royal Institute of Technology (KTH), 1998.

11.

Pombo

Ambrósio

. An alternative method to include track irregularities in railway vehicle dynamic analyses. Nonlinear Dyn 2012; 68: 161–176.

12.

Vollebregt

Steenbergen

. A methodology for assessing track irregularities with respect to rail damage. Int J Railway Technol 2015; 4: 85–105.

13.

Nikravesh

. Computer-aided analysis of mechanical systems, Englewood Cliffs, New Jersey: Prentice-Hall, 1988.

14.

Bruni

Vinolas

Berg

et al.

Modelling of suspension components in a rail vehicle dynamics context. Veh Syst Dyn 2011; 49: 1021–1072.

15.

Flores

Ambrósio

Claro

et al.

Kinematics and dynamics of multibody systems with imperfect joints: models and case studies, Dordrecht, The Netherlands: Springer, 2008.

16.

Shabana

. Dynamics of multibody systems, 2nd ed. Cambridge, UK: Cambridge University Press, 1998.

17.

Weidemann

. State-of-the-art railway vehicle design with multi-body simulation. J Mech Syst Transp Logist 2010; 3: 12–26.

18.

Kuka

Ariaudo

Verardi

. Modelling and simulation of tilting vehicles. Int J Railway Technol 2013; 2: 63–82.

19.

Qazizadeh

Persson

Stichel

. Preparation and execution of on-track tests with active vertical secondary suspension. Int J Railway Technol 2015; 4: 29–46.

20.

Eickhoff

Evans

Minnis

. A review of modelling methods for railway vehicle suspension components. Veh Syst Dyn 1995; 24: 469–496.

21.

Piao

Liang

Wei

et al.

Novel stability theory based on absorbing-band anti-hunting mechanism of high-speed bogies. Int J Railway Technol 2013; 2: 1–33.

22.

Pombo

Ambrósio

. Influence of pantograph suspension characteristics on the contact quality with the catenary for high speed trains. Comput Struct 2012; 110–111: 32–42.

23.

Ambrósio

Verissimo

. Improved bushing models for general multibody systems and vehicle dynamics. Multibody Syst Dyn 2009; 22: 341–365.

24.

Facchinetti

Mazzola

Alfi

et al.

Mathematical modelling of the secondary airspring suspension in railway vehicles and its effect on safety and ride comfort. Veh Syst Dyn 2010; 48: 429–449.

25.

. Research on vertical stiffness of belted air springs. Veh Syst Dyn 2013; 51: 1655–1673.

26.

Alonso

Guiral

Gimenez

. Wheel rail contact: theoretical and experimental analysis. Int J Railway Technol 2013; 2: 15–32.

27.

Ignesti

Innocenti

Marini

et al.

Development of a model for the simultaneous analysis of wheel and rail wear in railway systems. Multibody Syst Dyn 2014; 31: 191–240.

28.

Meli

Ridolfi

. An innovative wheel–rail contact model for railway vehicles under degraded adhesion conditions. Multibody Syst Dyn 2015; 33: 285–313.

29.

Pombo

Ambrósio

. Application of a wheel-rail contact model to railway dynamics in small radius curved tracks. Multibody Syst Dyn 2008; 19: 91–114.

30.

Pombo

Ambrósio

Silva

. A new wheel-rail contact model for railway dynamics. Veh Syst Dyn 2007; 45: 165–189.

31.

Shabana

Berzeri

Sany

. Numerical procedure for the simulation of wheel/rail contact dynamics. J Dyn Syst Meas Control 2001; 123: 168–178.

32.

Sichani

Enblom

Berg

. Non-elliptic wheel-rail contact modelling in vehicle dynamics simulation. Int J Railway Technol 2014; 3: 77–96.

33.

Sugiyama

Yada

Yamamoto

et al.

Wheel and rail profile wear on small radius curved tracks and its effect on derailment coefficients: measurement and simulation. Int J Railway Technol 2013; 2: 85–98.

34.

Knothe

Wille

Zastrau

. Advanced contact mechanics-road and rail. Veh Syst Dyn 2001; 35: 361–407.

35.

Piotrowski

Chollet

. Wheel–rail contact models for vehicle system dynamics including multi-point contact. Veh Syst Dyn 2005; 43: 455–483.

36.

Enblom

. Deterioration mechanisms in the wheel-rail interface with focus on wear prediction: a literature review. Veh Syst Dyn 2009; 47: 661–700.

37.

Bosso

Spiryagin

Gugliotta

et al.

Review of wheel-rail contact models. Mechatronic modeling of real-time wheel-rail contact, Berlin Heidelberg: Springer, 2013.

38.

Antali

Stepan

Hogan

. Kinematic oscillations of railway wheelsets. Multibody Syst Dyn 2015; 34: 259–274.

39.

Kalker

. Three-dimensional elastic bodies in rolling contact, Dordrecht, The Netherlands: Kluwer Academic Publishers, 1990.

40.

Magalhães

Madeira

Ambrósio

et al.

Railway vehicle performance optimization using virtual homologation. Vehicle Syst Dyn 2016; 54: 1177–1207.

41.

Magalhães

Pombo

Ambrósio

et al.

Rail vehicle design optimization for operation in a mountainous railway track. Inn Infrastruct Solut 2017; 2. . DOI: 10.1007/s41062-017-0088-1.

42.

Polach

Evans

. Simulations of running dynamics for vehicle acceptance: application and validation. Int J Railway Technol 2013; 2: 59–84.

43.

Willson

Fries

Witte

et al.

Assessment of safety against derailment using simulation and vehicle acceptance tests: a worldwide comparison of state-of-the-art assessment methods. Veh Syst Dyn 2011; 49: 1113–1157.

44.

EN14363. Railway applications – testing for the acceptance of running characteristics of railway vehicles – testing for running behaviour and stationary tests, 2005.

45.

Kuka N, Verardi R, Ariaudo C, et al. The influence of the maintenance state of track and bogie components on the track-vehicle interaction and loads. In: Pombo J. (ed.) Proceedings of the second international conference on railway technology: research, development and maintenance. Stirlingshire, UK: Civil-Comp Press, 2014, paper 269. DOI: 10.4203/ccp.104.269.

46.

SIMPACK

. SIMPACK reference guide – SIMDOC 8.904, Germany: SIMPACK AG, 2010.

47.

AEA Technology plc. VAMPIRE user manual – V 4.32, Derby, UK: AEA Technology plc, 2004.

48.

Research British-Rail. Introduction to VAMPIRE, London, UK: AEA Technology plc., 1997.

49.

DeltaRail Group Ltd. VAMPIRE Pro User Manual – V 5.02, Derby, UK: DeltaRail Group Ltd., 2006.

50.

Lewis

Dwyer-Joyce

Olofsson

et al.

Mapping railway wheel material wear mechanisms and transitions. Proc IMechE, Part F: J Rail and Rapid Transit 2010; 224: 125–137.

51.

Pombo

Ambrósio

Pereira

et al.

A railway wheel wear prediction tool based on a multibody software. J Theoret Appl Mech 2010; 48: 751–770.

52.

Pombo

Ambrósio

Pereira

et al.

A study on wear evaluation of railway wheels based on multibody dynamics and wear computation. Multibody Syst Dyn 2010; 24: 347–366.

53.

Pombo

Ambrósio

Pereira

et al.

Development of a wear prediction tool for steel railway wheels using three alternative wear functions. Wear 2011; 271: 238–245.

54.

Pombo J, Quost X, Tassini N, et al. A railway wheel wear prediction tool based on multibody software. In: Proceedings of VSDIA 2008 – 11th mini conference on vehicle system dynamics, identification and anomalies, Budapest, Hungary, 10–12 November 2008.

55.

Quost X, Tassini N, Lewis R, et al. Predicting railway wheel wear starting from multibody analysis: a preliminary study. In: Proceedings of 2008 IEEE/ASME joint rail conference (JRC 2008), Wilmington, DE, USA, 22–24 April 2008.

56.

Tassini N, Quost X, Lewis R, et al. A numerical model of twin disc test arrangement for evaluating railway wheel wear prediction algorithms. In: Proceedings of the STLE/ASME international joint tribology conference (IJTC 2008), Miami, FL, USA, 20–22 October 2008, pp.469–471.

57.

Tassini

Quost

Lewis

et al.

A numerical model of twin disc test arrangement for the evaluation of railway wheel wear prediction methods. Wear 2010; 268: 660–667.

58.

Dukkipati

Amyot

. Computer-aided simulation in railway dynamics, New York: M. Dekker Inc., 1988.

59.

Garg

Dukkipati

. Dynamics of railway vehicle systems, New York: Academic Press, 1984.

60.

Iwnicki

. Handbook of railway vehicle dynamics, London, UK: Taylor & Francis, 2006.

61.

Bruni S, Belforte P, Mancini G, et al. Experimental investigation of yaw damper performances: an improved and harmonised testing methodology developed within modtrain EU project. In: Proceedings of the 8th world congress on railway research, Seoul, Korea, 8–22 May 2008.

62.

Flores

. Modeling and simulation of wear in revolute clearance joints in multibody systems. Mech Mach Theory 2009; 44: 1211–1222.

63.

Evans J. The modelling of railway passenger vehicles. In: Sauvage G (ed.) Proceedings of the 12th IAVSD symposium dynamics of vehicles – international association for vehicle system dynamics, Lyon, France, August 1991.

64.

Bolton

Clayton

. Rolling-sliding wear damage in rail and tyre steels. Wear 1983; 93: 145–165.

65.

Braghin

Lewis

Dwyer-Joyce

et al.

A mathematical model to predict railway wheel profile evolution due to wear. Wear 2006; 261: 1253–1264.

66.

Jendel

. Prediction of wheel profile wear – comparisons with field measurements. Wear 2002; 253: 89–99.

Impact of maintenance conditions of vehicle components on the vehicle–track interaction loads

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