Accurate prediction of remaining fatigue life and formulation of condition repair procedure of high-speed train body
-
摘要: 为降低高速列车运维成本,提高运行安全性,延长结构的使用寿命,考虑了高速列车服役劣化因素,采用车辆系统动力学方法,计算并编制了车体剩余寿命预测的载荷谱;建立了车体有限元模型和关注点裂纹扩展驱动力的代理模型,实现劣化载荷谱与裂纹动态驱动力的映射;基于先进的CJP模型,建立了考虑裂尖闭合效应和应力比的裂纹扩展模型,并拟合了CJP应力强度因子范围与传统应力强度因子范围的关系;采用Kriging代理模型对裂纹扩展寿命进行了精确积分,进一步提升了寿命预测精度;在车体剩余寿命预测的基础上,使用模态应变能作为指标对高速列车车体的裂纹状态进行监测,构建了状态等级函数,建立了剩余寿命与裂纹状态的对应关系;依据裂纹监测结果评定出状态等级,采用风险评估的方式预测持续运行将造成的后果,根据风险等级制定高速列车车体最经济的维修策略和修程。研究结果表明:空簧左右侧劣化后的载荷幅值最小为107 kN,最大为122 kN,最大劣化程度下载荷谱最大值增大了6.16%;车顶空调安装座(关注点1)和车门角位置(关注点2)的结构应力变化趋势一致,从12.4 MPa增加至15.8 MPa,表明随着部件性能劣化,关注点处应力增大,导致更大的失效概率;根据CJP模型和国际焊接学会(IIW)标准,参数计算的最短剩余寿命里程均位于车体一位端底架横梁与纵向型材连接位置(关注点3),分别为6.781×106和1.128×107 km,表明使用CJP模型计算的剩余寿命更偏于保守。通过对高速列车的服役性能劣化、结构寿命演化、状态历程恶化等进行系统性研究,建立剩余寿命与疲劳状态的映射关系,提出结合车体剩余寿命与运维策略制定车体状态修程的方法,为推进高速列车维修模式从计划修、故障修到状态修的变革转型提供重要的科学指导价值。Abstract: In order to reduce the cost of high-speed train operation and maintenance, improve operational safety, and extend the service life of structure, high-speed train service deterioration factors were considered. The method of vehicle system dynamics was adopted to calculate and formulate the load spectrum for the remaining life prediction of train body. A finite element model of train body and a proxy model of crack extension driving force at the focus points were established to achieve the mapping of the load spectrum of deterioration to the dynamic driving force of crack. Based on the advanced CJP model, a crack extension model considering the crack tip closure effect and stress ratio was established, and the relationship between the ranges of CJP stress intensity factor and conventional stress intensity factor was fitted. The Kriging agent model was used to accurately integrate the crack extension life, which further improved the accuracy of life prediction. On the basis of the remaining life prediction of train body, the modal strain energy was used as an indicator to monitor the crack state of high-speed train body. In addition, a condition level function was constructed to establish the corresponding relationship between the remaining life and the crack state. According to the crack monitoring results, the condition level was evaluated, and the consequences of continuous operation were predicted through risk assessment. The most economical repair strategy and repair procedure for high-speed train body were formulated according to the risk level. Research results show that the minimum and maximum values of load amplitudes after deterioration on the left and right sides of air spring are 107 and 122 kN. The maximum value of the load spectrum at the maximum degradation level increases by 6.16%. The structural stresses at the air conditioning mount (focus point 1) on the roof and the door corner position (focus point 2) have the same changing trend, increasing from 12.4 MPa to 15.8 MPa. This indicates that the stresses at the focus points increase with the deterioration of component performance, causing a great probability of failure. Based on the parameters in the CJP model and the International Institute of Welding (IIW) criteria, the calculated shortest remaining life mileages are both located at the connection position between the underframe beam and the longitudinal profile at the first end of train body (focus point 3), which are 6.781×106 and 1.128×107 km, respectively. This suggests that the remaining life calculated by the CJP model is more conservative. Through the systematic research on the service performance deterioration, structural life evolution, and condition course deterioration of high-speed trains, the mapping relationship between the remaining life and the fatigue state is established, and the method formulating the condition repair procedure of train body by combining the remaining life of train body with the operation and maintenance strategy is put forward, which is of great scientific significance for promoting the transformation of high-speed train maintenance mode from plan-based maintenance, fault-based maintenance to condition-based maintenance.
-
表 1 关注点的疲劳裂纹扩展寿命结果
Table 1. Fatigue crack propagation life results of focus points
关注点 CJP模型计算结果/km IIW参数计算结果/km 1 7.775×106 2.839×108 2 3.100×107 4.313×108 3 6.781×106 1.128×107 4 3.494×107 6.192×108 5 9.279×106 8.541×108 -
[1] 张卫华, 李权福, 宋冬利. 关于铁路机车车辆健康管理与状态修的思考[J]. 中国机械工程, 2021, 32(4): 379-389.ZHANG Wei-hua, LI Quan-fu, SONG Dong-li. Thoughts on health management and condition-based maintenance of rolling stocks[J]. China Mechanical Engineering, 2021, 32(4): 379-389. (in Chinese) [2] 翟婉明, 赵春发. 现代轨道交通工程科技前沿与挑战[J]. 西南交通大学报, 2016, 51(2): 209-226.ZHAI Wan-ming, ZHAO Chun-fa. Frontiers and challenges of sciences and technologies in modern railway engineering[J]. Journal of Southwest Jiaotong University, 2016, 51(2): 209-226. (in Chinese) [3] 李权福, 邵文东, 王洪昆, 等. 状态修检修技术在神华重载铁路货车上的应用探讨[J]. 铁道车辆, 2021, 59(2): 115-118.LI Quan-fu, SHAO Wen-dong, WANG Hong-kun, et al. Discussion of application of maintenance technology of state-overhaul in Shenhua Heavy Haul Railway freight car[J]. Rolling Stock, 2021, 59(2): 115-118. (in Chinese) [4] 王华胜, 钱小磊, 朱庆龙, 等. 动车组设计寿命中后期运维策略研究[J]. 中国铁路, 2023(7): 60-65.WANG Hua-sheng, QIAN Xiao-lei, ZHU Qing-long. et al. Research on O&M strategy in the middle and later stages of EMU design life[J]. China Railway, 2023(7): 60-65. (in Chinese) [5] LU Y H, XIANG P L, DONG P, et al. Analysis of the effects of vibration modes on fatigue damage in high-speed train bogie frames[J]. Engineering Failure Analysis, 2018, 89: 222-241. doi: 10.1016/j.engfailanal.2018.02.025 [6] 李鹏, 彭嘉潮, 黄培炜, 等. 基于双目标传感器分布优化的转向架构架状态监测[J]. 中国测试, 2020, 46(9): 131-135, 147.LI Peng, PENG Jia-chao, HUANG Pei-wei, et al. Condition monitoring for bogie frame based on two-objective sensor distribution optimization[J]. China Measurement and Test, 2020, 46(9): 131-135, 147. (in Chinese) [7] 钱铭. 我国铁路机车车辆修程修制改革初探[J]. 中国铁路, 2019(10): 1-5.QIAN Ming. Study on the reform of maintenance system and cycle for China's railway locomotive and car[J]. China Railway, 2019(10): 1-5. (in Chinese) [8] 唐涛, 张飞庆, 佘玲娟. 基于名义应力法的高强钢泵车臂架疲劳寿命研究[J]. 工程机械, 2016, 47(3): 12-17.TANG Tao, ZHANG Fei-qing, SHE Ling-juan. A study on fatigue life of high strength steel used in pump truck boom frames as based on nominal stress process[J]. Construction Machinery and Equipment, 2016, 47(3): 12-17. (in Chinese) [9] 方仁贵, 郑露, 刘洋, 等. 吊机主结构疲劳剩余寿命计算方法研究与应用[J]. 石油和化工设备, 2019, 22(5): 53-55.FANG Ren-gui, ZHENG Lu, LIU Yang, et al. Research and application of calculation method for fatigue residual life of crane structure[J]. Petro and Chemical Equipment, 2019, 22(5): 53-55. (in Chinese) [10] 卢耀辉, 向鹏霖, 曾京, 等. 高速列车转向架构架动应力计算与疲劳全寿命预测[J]. 交通运输工程学报, 2017, 17(1): 62-70. doi: 10.3969/j.issn.1671-1637.2017.01.008LU Yao-hui, XIANG Peng-lin, ZENG Jing, et al. Dynamic stress calculation and fatigue whole life prediction of bogie frame for high-speed train[J]. Journal of Traffic and Transportation Engineering, 2017, 17(1): 62-70. (in Chinese) doi: 10.3969/j.issn.1671-1637.2017.01.008 [11] 熊勋, 杨莹, 汪舟, 等. 基于FRANC3D和ABAQUS联合仿真三维疲劳裂纹扩展分析及寿命预测[J]. 武汉理工大学学报(交通科学与工程版), 2020, 44(3): 506-512.XIONG Xun, YANG Ying, WANG Zhou, et al. Three-dimensional fatigue crack propagation analysis and life prediction based on co-simulation of FRANC3D and ABAQUS[J]. Journal of Wuhan University of Technology (Transportation Science and Engineering), 2020, 44(3): 506-512. (in Chinese) [12] JUN H K, JUNG H S, LEE D H, et al. Fatigue crack evaluation on the underframe of EMU carbody[J]. Procedia Engineering, 2010, 2(1): 893-900. doi: 10.1016/j.proeng.2010.03.096 [13] 何龙龙, 刘志芳, 顾俊杰, 等. 基于XFEM的疲劳裂纹扩展路径和寿命预测[J]. 西北工业大学学报, 2019, 37(4): 737-743.HE Long-long, LIU Zhi-fang, GU Jun-jie, et al. Fatigue crack propagation path and life prediction based on XFEM[J]. Journal of Northwestern Polytechnical University, 2019, 37(4): 737-743. (in Chinese) [14] 左旸, 杨蓉萍, 马浩钦, 等. 基于径向基神经网络的桥式起重机剩余寿命评估[J]. 机械强度, 2021, 43(6): 1450-1455.ZUO Yang, YANG Rong-ping, MA Hao-qin, et al. Evaluation for remaining life of bridge crane based on radial basis neural network[J]. Journal of Mechanical Strength, 2021, 43(6): 1450-1455. (in Chinese) [15] 曾声奎, MICHAEL G P, 吴际. 故障预测与健康管理(PHM)技术的现状与发展[J]. 航空学报, 2005, 26(5): 626-632.ZENG Sheng-kui, MICHAEL G P, WU Ji. Status and perspectives of prognostics and health management technologies[J]. Acta Aeronautica et Astronautica Sinica, 2005, 26(5): 626-632. (in Chinese) [16] VERMEIJ I, BONTEKOE T, LIEFTING G, et al. Optimisation of rolling stock wheelset life through better understanding of wheel tyre degradation[J]. International Journal of Railway, 2008, 1(3): 83-88. [17] ANDRADE A R, STOW J. Assessing the potential cost savings of introducing the maintenance option of 'Economic Tyre Turning' in Great Britain railway wheelsets[J]. Reliability Engineering and System Safety, 2017, 168: 317-325. doi: 10.1016/j.ress.2017.05.033 [18] 姚芳芳. 基于故障树的HXD3型电力机车转向架轴承故障分析[J]. 机械制造, 2017, 55(5): 86-88.YAO Fang-fang. Fault analysis of bogie bearing of HXD3 electric locomotive based on fault tree[J]. Machinery, 2017, 55(5): 86-88. (in Chinese) [19] 曾元辰, 张卫华, 宋冬利. 高速列车踏面凹形磨耗及其动力学影响规律[J]. 铁道机车车辆, 2018, 38(4): 5-9, 17.ZENG Yuan-chen, ZHANG Wei-hua, SONG Dong-li. Wheel profile concave wear and its effect law on vehicle dynamics of high-speed trains[J]. Railway Locomotive and Car, 2018, 38(4): 5-9, 17. (in Chinese) [20] ZENG Yuan-chen, ZHANG Wei-hua, SONG Dong-li, et al. Response prediction of stochastic dynamics by neural networks: theory and application on railway vehicles[J]. Computing in Science and Engineering, 2019, 21(3): 18-30. [21] 梁建英. 高速列车智能诊断与故障预测技术研究[J]. 北京交通大学学报, 2019, 43(1): 63-70.LIANG Jian-ying. Research on intelligent diagnosis and fault prediction technology for high speed trains[J]. Journal of Beijing Jiaotong University, 2019, 43(1): 63-70. (in Chinese) [22] 卢耀辉, 李振生, 尹小春, 等. 动车组铝合金车体焊缝质量等级评价的应力因数计算方法[J]. 交通运输工程学报, 2022, 22(1): 133-140. doi: 10.19818/j.cnki.1671-1637.2022.01.011LU Yao-hui, LI Zhen-sheng, YIN Xiao-chun, et al. Calculation methods of stress factor in welding seam quality grade evaluation of EMUs aluminum alloy car body[J]. Journal of Traffic and Transportation Engineering, 2022, 22(1): 133-140. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2022.01.011 [23] 樊云杰, 张晓鹏, 蔺高, 等. 城轨车辆用空气弹簧寿命及性能评估方法研究[J]. 铁道车辆, 2022, 60(3): 77-80.FAN Yun-jie, ZHANG Xiao-peng, LIN Gao, et al. Research on remaining useful life and performance evaluation method of air spring for urban rail vehicles[J]. Rolling Stock, 2022, 60(3): 77-80. (in Chinese) [24] CHEN Mei, SUN Yu, GUO Yu, et al. Study on effect of wheel polygonal wear on high-speed vehicle-track-subgrade vertical interactions[J]. Wear, 2019, 432/433: 102914. http://www.xueshufan.com/publication/2946910015 [25] 高闯, 孙守光, 任尊松, 等. 车轮多边形对高速列车车轴疲劳强度影响研究[J]. 机械工程学报, 2023, 59(6): 185-193.GAO Chuang, SUN Shou-guang, REN Zun-song, et al. Study on the influence of wheel polygon on the fatigue strength of high-speed train axle[J]. Journal of Mechanical Engineering, 2023, 59(6): 185-193. (in Chinese) [26] 陈杨, 宁静, 王靖铭, 等. 轨道不平顺对高速列车小幅蛇行运动的影响[J]. 现代制造工程, 2019(7): 55-59.CHEN Yang, NING Jing, WANG Jing-ming, et al. Influence of track irregularity on small hunting of high-speed trains[J]. Modern Manufacturing Engineering, 2019(7): 55-59. (in Chinese) [27] GRASSIE S L, KALOUSEK J. Rail corrugation: characteristics causes and treatments[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 1993, 207(1): 57-68. [28] CHRISTOPHER C J, JAMES M N, PATTERSON E A, et al. Towards a new model of crack tip stress fields[J]. International Journal of Fracture, 2007, 148: 361-371. [29] 王欣, 范雯霖, 顾迪民. 起重机长细臂架结构应力解析法的适用性[J]. 中国工程机械学报, 2018, 16(5): 389-393.WANG Xin, FAN Wen-lin, GU Di-min. Applicability analysis of theoretical method for crane boom stress[J]. Chinese Journal of Construction Machinery, 2018, 16(5): 389-393. (in Chinese) [30] PAIS M J, VIANA F A C, KIM N H. Enabling high-order integration of fatigue crack growth with surrogate modeling[J]. International Journal of Fatigue, 2012, 43: 150-159. [31] 缪炳荣, 张盈, 黄仲, 等. 利用模态应变能变化率的结构损伤识别优化方法[J]. 振动工程学报, 2023, 36(2): 477-486.MIAO Bing-rong, ZHANG Ying, HUANG Zhong, et al. Structural damage identification optimization method using change rate of modal strain energy[J]. Journal of Vibration Engineering, 2023, 36(2): 477-486. (in Chinese)