References
- Alonso A, Giménez JG, Gomez E. Yaw damper modelling and its influence on railway dynamic stability. Veh Syst Dyn. 2011;49(9):1367–1387.
- Braghin F, Bruni S, Resta F. Active yaw damper for the improvement of railway vehicle stability and curving performances: simulations and experimental results. Veh Syst Dyn. 2006;44(11):857–869.
- Wu XW, Liang SL, Chi MR. An investigation of rocking derailment of railway vehicles under the earthquake excitation. Eng Fail Anal. 2020;117:104913.
- Huang CH, Zeng J. Dynamic behaviour of a high-speed train hydraulic yaw damper. Veh Syst Dyn. 2018;56:1922–1944.
- Teng WX, Shi HL, Luo R, et al. Improved nonlinear model of a yaw damper for simulating the dynamics of a high-speed train. Proc IMecE Part F J Rail Rapid Transit. 2019;233:651–665.
- Wang WL, Liang YW, Zhang WH, et al. Experimental research into the low-temperature characteristics of a hydraulic damper and the effect on the dynamics of the pantograph of a high-speed train running in extreme cold weather conditions. Proc IMecE Part F J Rail Rapid Transit. 2020;34(8):896–890.
- Wang WL, Yu DS, Zhou Z. In-service parametric modelling a rail vehicles axle-box hydraulic damper for high-speed transit problems. Mech Syst Signal Process. 2015; 62–63: 517–533.
- Wang W L. Non-linear parametric modelling of a high-speed rail hydraulic yaw damper with series clearance and stiffness. Nonlinear Dyn. 2011;65(1-2):13–34.
- Gao HX, Chi MR, Dai LC, et al. Mathematical modelling and computational simulation of the hydraulic damper during the orifice-working stage for railway vehicles. Math Probl Eng. 2020;11:1–23.
- Huang, CH, Zeng, J. A simplified yaw damper model for use in dynamics simulation. In: The 26th symposium of the international association of vehicle system dynamics, Gothenburg, 12–16 August 2019.
- Yan Y, Zeng J, Huang CH, et al. Bifurcation analysis of railway bogie with yaw damper. Arch Appl Mech. 2019;89(7):1185–1199.
- Sun J, Chi M, Cai W, et al. Numerical investigation into the critical speed and frequency of the hunting motion in railway vehicle system. Math Probl Eng. 2019;2:1–15.
- Conde Mellado A, Gomez E, Vinolas J. Advances on railway yaw damper characterisation exposed to small displacements. Int J Heavy Veh Syst. 2006;13:263–280.
- Besinger FH, Cebon D, Cole DJ. Damper models for heavy vehicle ride dynamics. Veh Syst Dyn. 1995;24:35–64.
- Duym S, Stiens R, Reybrouck K. Evaluation of shock absorber models. Veh Syst Dyn. 1997;27:109–127.
- Reybrouck K. A non linear model parameteric model of an automotive shock absorber. SAE Trans. 1994;7:1170–1177.
- Dai LC, Chi MR, Xu CB, et al. A hybrid neural network model based modelling methodology for the rubber bushing. Veh Syst Dyn. 2021;2:1–22.
- BS EN 13802. Railway applications – suspension components – hydraulic dampers. Brussels: CEN; 2013.
- Miller DS. Internal flow systems. 2nd ed. London: BHR Group Limited; 1996.
- Wang WL, Fan YQ, Chen X, et al. Study on the physical properties of vehicular hydraulic damper fluids in a wide temperature range. Mach Tool Hydraul. 2021;49(10):33–37.
- ASTM D341-09. Stand practice for viscosity-temperature charts for liquid petroleum products. West Conshohocken: ASTM International; 2009.
- Yang J, Chi MR, Zhu MH, et al. The nonlinear constitute model of elastic rubber mat for rail vehicles. J Vib Shock. 2016;29(2):291–297.
- Kopal I, Labaj I, Harničárová M, et al. Prediction of the tensile response of carbon black filled rubber blends by artificial neural network. Polymers. 2018;10(6):644–662.
- Bennett C, Stewart RA, Beal CD. ANN-based residential water end-use demand forecasting model. Expert Syst Appl. 2013;40:1014–1023.
- Pracny V, Meywerk M, Lion A. Hybrid neural network model for history-dependent automotive shock absorbers. Veh Syst Dyn. 2007;45(1):1–14.