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On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2023-04-25

Cited: 0

Clicked: 1492

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Guang LI

https://orcid.org/0000-0002-3190-0357

Yuan YAO

https://orcid.org/0000-0003-2279-7463

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Journal of Zhejiang University SCIENCE A 2023 Vol.24 No.5 P.450-464

http://doi.org/10.1631/jzus.A2200374


Influence of yaw damper layouts on locomotive lateral dynamics performance: Pareto optimization and parameter analysis


Author(s):  Guang LI, Yuan YAO, Longjiang SHEN, Xiaoxing DENG, Wensheng ZHONG

Affiliation(s):  State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China; more

Corresponding email(s):   yyuan8848@163.com

Key Words:  High-speed locomotive, Yaw damper layout, Lateral stability, Lateral ride comfort, Multi objective optimization, Global sensitivity analysis (GSA)


Guang LI, Yuan YAO, Longjiang SHEN, Xiaoxing DENG, Wensheng ZHONG. Influence of yaw damper layouts on locomotive lateral dynamics performance: Pareto optimization and parameter analysis[J]. Journal of Zhejiang University Science A, 2023, 24(5): 450-464.

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Abstract: 
high-speed locomotives are prone to carbody or bogie hunting when the wheel-rail contact conicity is excessively low or high. This can cause negative impacts on vehicle dynamics performance. This study presents four types of typical yaw damper layouts for a high-speed locomotive (Bo-Bo) and compares, by using the multi-objective optimization method, the influences of those layouts on the lateral dynamics performance of the locomotive; the linear stability indexes under low-conicity and high-conicity conditions are selected as optimization objectives. Furthermore, the radial basis function-based high-dimensional model representation (RBF-HDMR) method is used to conduct a global sensitivity analysis (GSA) between key suspension parameters and the lateral dynamics performance of the locomotive, including the lateral ride comfort on straight tracks under the low-conicity condition, and also the operational safety on curved tracks. It is concluded that the layout of yaw dampers has a considerable impact on low-conicity stability and lateral ride comfort but has little influence on curving performance. There is also an important finding that only when the locomotive adopts the layout with opening outward, the difference in lateral ride comfort between the front and rear ends of the carbody can be eliminated by adjusting the lateral installation angle of the yaw dampers. Finally, force analysis and modal analysis methods are adopted to explain the influence mechanism of yaw damper layouts on the lateral stability and differences in lateral ride comfort between the front and rear ends of the carbody.

抗蛇行减振器布置方式对机车横向动力学性能影响:Pareto优化和参数分析

作者:李广1,姚远1,沈龙江2,邓小星2,钟文生1
机构:1西南交通大学,牵引动力国家重点实验室,中国成都,610031;2中车株洲电力机车有限公司转向架研发部,中国株洲,412001
目的:以中国某型Bo-Bo高速机车为研究对象,分析四种典型的抗蛇行减振器布置方式及横向安装角对机车横向动力学性能和参数匹配关系的影响,并解释其作用机理。
创新点:1.通过多目标优化方法来同时优化机车低锥度和高锥度横向稳定性,获得四种抗蛇行减振器布置方式下机车最优横向动力学性能及横向安装角的不同选取原则;2.当抗蛇行减振器横向安装角存在时,引入抗蛇行减振器附加作用力和作用力矩,结合车体横向和摇头模态相位差来解释抗蛇行减振器布置方式对机车蛇行稳定性和车体前后横向平稳性差异的影响机理。
方法:1.基于搭建的MATLAB/SIMPACK联合仿真平台,采用多目标优化方法得到机车最优横向动力学性能及对应悬挂参数分布结果(图4和5);2.通过拉丁超立方采样对机车直线运行性能和曲线通过性能评价指标进行蒙特卡洛仿真,并采用基于径向基函数的高维模型表示的敏感性分析方法对关键悬挂参数进行全局敏感性分析(图6);3.采用根轨迹法分析不同抗蛇行减振器布置方式下横向安装角对机车蛇行稳定性影响规律,并提取蛇行模态中对应的车体横移和摇头模态相位差(图8和9)。
结论:1.抗蛇行减振器的布置方式对机车横向稳定性和平稳性具有显著影响,且不同布置方式下横向安装角的选取原则存在差异。2.全局敏感性分析结果显示:机车曲线通过性能对抗蛇行减振器阻尼和一系横向刚度的敏感性较强,但对抗蛇行减振器横向安装角的敏感性较弱。3.机车采用抗蛇行减振器开口向外布置时,优化横向安装角可以减小车体前后端横向平稳性差异,而机车采用其他三种抗蛇行减振器布置方式时没有这个特点。

关键词:高速机车;抗蛇行减振器布置;横向稳定性;横向平稳性;多目标优化;全局敏感性分析

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AlfiS, MazzolaL, BruniS, 2008. Effect of motor connection on the critical speed of high-speed railway vehicles. Vehicle System Dynamics, 46(S1):201-214.

[2]BigoniD, TrueH, Engsig-KarupAP, 2014. Sensitivity analysis of the critical speed in railway vehicle dynamics. Vehicle System Dynamics, 52(S1):272-286.

[3]ChenXW, YaoY, ShenLJ, et al., 2022. Multi-objective optimization of high-speed train suspension parameters for improving hunting stability. International Journal of Rail Transportation, 10(2):159-176.

[4]ERRI (European Rail Research Institute), 1989. Application of the ISO2631 Standard to Railway Vehicle, ISO 2631. ERRI, Utrecht, the Netherlands.

[5]GoldbergDE, 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Professional, Boston, USA.

[6]IUR (International Union of Railways), 1994. Guidelines for Evaluating Passenger Comfort in Relation to Vibration in Railway Vehicle, UIC Code 513. IUR, Paris, France.

[7]JeonCS, KimYG, ParkJH, et al., 2016. A study on the dynamic behavior of the Korean next-generation high-speed train. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(4):1053-1065.

[8]JiangYZ, WuPB, ZengJ, et al., 2020. Multi-parameter and multi-objective optimisation of articulated monorail vehicle system dynamics using genetic algorithm. Vehicle System Dynamics, 58(1):74-91.

[9]JohnssonA, BerbyukV, EnelundM, 2012. Pareto optimisation of railway bogie suspension damping to enhance safety and comfort. Vehicle System Dynamics, 50(9):‍1379-1407.

[10]KalkerJJ, 1982. A fast algorithm for the simplified theory of rolling contact. Vehicle System Dynamics, 11(1):1-13.

[11]KassaE, NielsenJCO, 2008. Stochastic analysis of dynamic interaction between train and railway turnout. Vehicle System Dynamics, 46(5):429-449.

[12]LiG, WuRD, DengXX, et al., 2022. Suspension parameters matching of high-speed locomotive based on stability/comfort Pareto optimization. Vehicle System Dynamics, 60(11):3848-3867.

[13]LiJY, LiuLY, KouDH, 2014. Wu Guang high-speed rail track irregularity power spectrum analysis. Applied Mechanics and Materials, 638-640:1224-1228. https://doi.‍org/10.4028/www.‍scientific.‍net/AMM.‍638-640.1224

[14]LyratzakisA, TsompanakisY, PsarropoulosPN, 2022. Mitigation of high-speed trains vibrations by expanded polystyrene blocks in railway embankments. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 22(1):6-20.

[15]Mousavi-BidelehSM, BerbyukV, 2016a. Global sensitivity analysis of bogie dynamics with respect to suspension components. Multibody System Dynamics, 37(2):‍145-174.

[16]Mousavi-BidelehSM, BerbyukV, 2016b. Multiobjective optimisation of bogie suspension to boost speed on curves. Vehicle System Dynamics, 54(1):58-85.

[17]Mousavi-BidelehSM, BerbyukV, PerssonR, 2016. Wear/comfort Pareto optimisation of bogie suspension. Vehicle System Dynamics, 54(8):1053-1076.

[18]PålssonBA, NielsenJCO, 2012. Track gauge optimisation of railway switches using a genetic algorithm. Vehicle System Dynamics, 50(S1):365-387.

[19]PerssonR, AnderssonE, StichelS, et al., 2014. Bogies towards higher speed on existing tracks. International Journal of Rail Transportation, 2(1):40-49.

[20]PolachO, 2006a. Comparability of the non-linear and linearized stability assessment during railway vehicle design. Vehicle System Dynamics, 44(S1):129-138.

[21]PolachO, 2006b. On non-linear methods of bogie stability assessment using computer simulations. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 220(1):13-27.

[22]ShanSQ, WangGG, 2010. Metamodeling for high dimensional simulation-based design problems. Journal of Mechanical Design, 132(5):051009.

[23]ShaoS, ZhangKL, YaoY, et al., 2022. Investigations on lubrication characteristics of high-speed electric multiple unit gearbox by oil volume adjusting device. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 23(12):1013-1026.

[24]ShojaeefardMH, KhalkhaliA, YarmohammadisatriS, 2017. An efficient sensitivity analysis method for modified geometry of Macpherson suspension based on Pearson correlation coefficient. Vehicle System Dynamics, 55(6):‍827-852.

[25]SimpsonTW, BookerAJ, GhoshD, et al., 2004. Approximation methods in multidisciplinary analysis and optimization: a panel discussion. Structural and Multidisciplinary Optimization, 27(5):302-313.

[26]SAMR (State Administration for Market Regulation of the People’s Republic of China), 2019. Specification for Dynamic Performance Assessment and Testing Verification of Rolling Stock, GB/T 5599-2019. National Standards of the People’s Republic of China(in Chinese).

[27]SunJF, ChiMR, JinXS, et al., 2021. Experimental and numerical study on carbody hunting of electric locomotive induced by low wheel–rail contact conicity. Vehicle System Dynamics, 59(2):203-223.

[28]TaoGQ, LiuXL, WenZF, et al., 2021. Formation process, key influencing factors, and countermeasures of high-order polygonal wear of locomotive wheels. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 22(1):70-84.

[29]TungaMA, DemiralpM, 2005. A factorized high dimensional model representation on the nodes of a finite hyperprismatic regular grid. Applied Mathematics and Computation, 164(3):865-883.

[30]WangWL, HuangY, YangXJ, et al., 2011. Non-linear parametric modelling of a high-speed rail hydraulic yaw damper with series clearance and stiffness. Nonlinear Dynamics, 65(1-2):13-34.

[31]WangWL, YuDS, HuangY, et al., 2014. A locomotive’s dynamic response to in-service parameter variations of its hydraulic yaw damper. Nonlinear Dynamics, 77(4):‍1485-1502.

[32]XiaZH, ZhouJS, GongD, et al., 2020. Theoretical study on the effect of the anti-yaw damper for rail vehicles. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 234(2):‍457-473.

[33]XuL, ZhaiWM, GaoJM, 2018. Global sensitivity analysis for vehicle-track interactions: special attention on track irregularities. Journal of Computational and Nonlinear Dynamics, 13(3):031007.

[34]YanY, ZengJ, 2018. Hopf bifurcation analysis of railway bogie. Nonlinear Dynamics, 92(1):107-117.

[35]YanY, ZengJ, HuangCH, et al., 2019. Bifurcation analysis of railway bogie with yaw damper. Archive of Applied Mechanics, 89(7):1185-1199.

[36]YaoY, ZhangHJ, LuoSH, 2015. The mechanism of drive system flexible suspension and its application in locomotives. Transportation, 30(1):69-79.

[37]YaoY, LiG, WuGS, et al., 2020. Suspension parameters optimum of high-speed train bogie for hunting stability robustness. International Journal of Rail Transportation, 8(3):195-214.

[38]YeYG, ShiDC, Poveda-ReyesS, et al., 2020. Quantification of the influence of rolling stock failures on track deterioration. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 21(10):783-798.

[39]ZengYC, SongDL, ZhangWH, et al., 2021. Stochastic failure process of railway vehicle dampers and the effects on suspension and vehicle dynamics. Vehicle System Dynamics, 59(5):703-718.

[40]ZhangH, RanXR, WangXG, et al., 2021. Coupling effects of yaw damper and wheel-rail contact on ride quality of railway vehicle. Shock and Vibration, 2021:6692451.

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