|Table of Contents|

Load identification and distribution characteristics of high-speed train bogie frame(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2020年04期
Page:
155-164
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Load identification and distribution characteristics of high-speed train bogie frame
Author(s):
CHEN Dao-yun1; 2;  LIN Feng-tao1;  SUN Shou-guang2;  MOU Ming-hui3;  XIAO Qian1
1. Key Laboratory of Conveyance and Equipment of Ministry of Education, East China Jiaotong University, Nanchang 330013, Jiangxi, China; 2. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China; 3. Modern Educational and Technological Center, East China Jiaotong University, Nanchang 330013, Jiangxi, China
Keywords:
vehicle engineering;  load identification;  truncated singular method;  kernel density estimation;  load spectrum;  distribution
PACS:
U270.12
DOI:
10.19818/j.cnki.1671-1637.2020.04.012
Abstract:
The bogie frame of a certain model high-speed train was taken as the research object, the load identification and distribution characteristics of high-speed train bogie frame was studied. The principle of identifying frame load based on the dynamic stress response was analyzed, and the frame load was back deduced and identified based on the truncated singular method. The extreme value distribution characteristics of frame load were analyzed by the kernel density estimation method, and the extreme value ranges of frame load under different occurrence probabilities were obtained based on the 3σ criterion. The two-dimensional load spectrum of frame load was compiled by the rain-flow counting method, and the two-dimensional load spectrum was equivalent to one-dimensional load spectrum based on the Goodman equation. Based on the one dimensional load spectrum, the cumulative frequency distribution rule of loads in each load system was analyzed. Analysis result shows that for the object studied in this paper, when the number of truncation is 1, the relative error of load identification result is the smallest. The probability density distributions of the minimum load and maximum load are symmetrical relative to the longitudinal axis of coordinate system. The larger the load range is, the lower the probability density is. The maximum and minimum load ranges of gearbox load system are the largest, the maximum load extremum is 25 kN. The braking load system, lateral rolling load system and transverse load system are the second, the maximum load is 15 kN. The maximum load of floating load system is about 5 kN. The extreme value of torsional load system is the smallest, and the maximum load is about 3 kN. With the increase of occurrence probability, the occurrence range of extreme value of each load system increases gradually. The two-dimensional load spectrums of all load systems have obvious load frequency extremums that appear in the low amplitude region. For the one-dimensional cumulative frequency distribution of load spectrum after the equivalence of two-dimensional load spectrum, the total cumulative frequency time of each load system is almost equivalent. The maximum load amplitude of gearbox load system is significantly greater than those of other load systems. From large to small, the maximum load amplitudes of other load systems are lateral rolling load system, braking load system, floating load system, transverse load system and torsional load system, respectively. 3 tabs, 7 figs, 33 refs.

References:

[1] 齐 鹤.高速铁路与航空中长途竞争的博弈分析[J].铁道学报,2018,40(3):16-22.
QI He. Game-theoretical model for analysis of competition between high-speed railway and air transport[J]. Journal of the China Railway Society, 2018, 40(3): 16-22.(in Chinese)
[2] 石晓玲,李 强,薛 海,等.高速列车锻钢制动盘多裂纹间作用机制研究[J].铁道学报,2016,38(3):36-41.
SHI Xiao-ling, LI Qiang, XUE Hai, et al. Study on interaction mechanism between cracks at forged steel brake dise for high speed train[J]. Journal of the China Railway Society, 2016, 38(3): 36-41.(in Chinese)
[3] LI Xue-liang, WU Fan, TAO Yu, et al. Numerical study of the air flow through an air-conditioning unit on high-speed trains[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 187: 26-35.
[4] HU Yong-xu, LIN Jian-hui, TAN A C. Failure analysis of gearbox in CRH high-speed train[J]. Engineering Failure Analysis, 2019, 105: 110-126.
[5] LIU Yan, WU Ying, MA Yuan-ming, et al. High temperature wear performance of laser cladding Co06 coating on high-speed train brake disc[J]. Applied Surface Science, 2019, 481: 761-766.
[6] LIN Bo-liang, WU Jian-ping, LIN Rui-xi, et al. Optimization of high-level preventive maintenance scheduling for high-speed trains[J]. Reliability Engineering and System Safety, 2019, 183: 261-275.
[7] WANG Shi-bo, BURTON D, HERBST A, et al. The effect of bogies on high-speed train slipstream and wake[J]. Journal of Fluids and Structures, 2018, 83: 471-489.
[8] LIM H, JEONG J W. Applicability and energy saving potential of thermoelectric radiant panels in high-speed train cabins[J]. International Journal of Refrigeration, 2019, 104: 229-245.
[9] GAO Guang-jun, LI Feng, HE Kan, et al. Investigation of bogie positions on the aerodynamic drag and near wake structure of a high-speed train[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 185: 41-53.
[10] JING Lin, LIU Kai, REN Ming. The transient response of car body and side windows for high-speed trains passing by each other in a tunnel[J]. Composites Part B: Engineering, 2019, 166: 284-297.
[11] MOHEBBI M, REZVANI M A. Analysis of the effects of lateral wind on a high speed train on a double routed railway track with porous shelters[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 184: 116-127.
[12] 王斌杰,孙守光,李 强,等.基于载荷谱提升转向架构架疲劳可靠性研究[J].铁道学报,2019,41(2):23-30.
WANG Bin-jie, SUN Shou-guang, LI Qiang, et al. Research on the improvement of speed increased passenger car bogie frame reliability based on load spectrum[J]. Journal of the China Railway Society, 2019, 41(2): 23-30.(in Chinese)
[13] 刘 旭,周春平,张开林,等.基于缺口应力法的转向架焊接接头疲劳性能分析[J].铁道学报,2017,39(3):42-48.
LIU Xu, ZHOU Chun-ping, ZHANG Kai-lin, et al. Fatigue performance analysis of bogie welded joints based on notch stress method[J]. Journal of the China Railway Society, 2017, 39(3): 42-48.(in Chinese)
[14] 王 超,戴巨川,杨 鑫,等.基于“应变-载荷”模型的大型风电机组叶片载荷识别研究[J].太阳能学报,2019,40(5):1423-1432.
WANG Chao, DAI Ju-chuan, YANG Xin, et al. Research on blade load identification of large-scale wind turbines based on stress-load model[J]. Acta Energiae Solaris Sinica, 2019, 40(5): 1423-1432.(in Chinese)
[15] 张 猛,魏 强,石焕成,等.钢制闸门冰载荷识别与静强度分析[J].哈尔滨工程大学学报,2019,40(9):1543-1548.
ZHANG Meng, WEI Qiang, SHI Huan-cheng, et al. Ice load identification and static strength analysis of a steel gate[J]. Journal of Harbin Engineering University, 2019, 40(9): 1543-1548.(in Chinese)
[16] 李晓旺,赵海涛,陈吉安.基于测点优选和改进L曲线法的动载荷识别[J].上海交通大学学报,2020,54(6):569-576.
LI Xiao-wang, ZHAO Hai-tao, CHEN Ji-an. Force identification based on measuring point selection and improved L-curve method[J]. Journal of Shanghai Jiaotong University, 2020,54(6): 569-576.(in Chinese)
[17] 高文静,周焕林,陶 然.基于布谷鸟搜索算法的动载荷识别[J].重庆大学学报,2020,43(6):30-39.
GAO Wen-jing, ZHOU Huan-lin, TAO Ran. Dynamic load identification based on the cuckoo search algorithm[J]. Journal of Chongqing University, 2020, 43(6): 30-39.(in Chinese)
[18] 陈德蕾,王 成,曾 煜,等.基于神经网络和模型迁移学习的不相关多源频域载荷识别[J].计算机集成制造系统,https://kns.cnki.net/kcms/detail/11.5946.TP.20200602.1633.002.html.
CHEN De-lei, WANG Cheng, CENG Yu, et al. Uncorrelated multi-source load identification in frequency domain based on neural network and model transfer learning[J]. Computer Integrated Manufacturing Systems, https:∥kns.cnki.net/kcms/detail/11.5946.TP.20200602.1633.002.html.(in Chinese)
[19] 王 婷,万志敏,郑伟光.基于Gibbs抽样的结构时域载荷识别[J].振动与冲击,2018,37(2):85-90.
WANG Ting, WAN Zhi-min, ZHENG Wei-guang. Structural dynamic load identification in time domain based on Gibbs sampling[J]. Journal of Vibration and Shock, 2018, 37(2): 85-90.(in Chinese)
[20] 邹 骅,李 强,孙守光.基于载荷标定的城际列车转向架载荷及应力分布特征研究[J].铁道学报,2016,38(10):27-33.
ZOU Hua, LI Qiang, SUN Shou-guang. Study on intercity train load spectrum distribution estimation and calibration methods based on load demarcation[J]. Journal of the China Railway Society, 2016, 38(10): 27-33.(in Chinese)
[21] 薛 海,李 强,胡伟钢.1万t重载货车车钩载荷分布特性研究[J].铁道学报,2017,39(9):48-52.
XUE Hai, LI Qiang, HU Wei-gang. Research on coupler load distribution characteristics of 10 000 t heavy haul train[J]. Journal of the China Railway Society, 2017, 39(9): 48-52.(in Chinese)
[22] 杨广雪,张亚禹,李广全.高速列车轴箱弹簧载荷特性与疲劳损伤[J].交通运输工程学报,2019,19(4):81-93.
YANG Guang-xue, ZHANG Ya-yu, LI Guang-quan. Axle box spring load characteristics and fatigue damage of high-speed train[J]. Journal of Traffic and Transportation Engineering, 2019, 19(4): 81-93.(in Chinese)
[23] 张亚禹,孙守光,杨广雪,等.高速列车转向架构架载荷特征及疲劳损伤评估[J].机械工程学报,2020,56(10):163-171.
ZHANG Ya-yu, SUN Shou-guang, YANG Guang-xue, et al. Load characteristics and fatigue damage assessment of high speed train bogie frame[J]. Journal of Mechanical Engineering, 2020, 56(10): 163-171.(in Chinese)
[24] 张玉良,杨 飞,岳洪浩,等.基于频域法的星箭连接分离装置的冲击载荷识别[J].振动与冲击,2018,37(17):79-85.
ZHANG Yu-liang, YANG Fei, YUE Hong-hao, et al. Impact load identification of connection-separation device between satellite and rocket with frequency domain method based on EEMD[J]. Journal of Vibration and Shock, 2018, 37(17): 79-85.(in Chinese)
[25] 王明猛,朱 涛,王小瑞,等.一种逆结构滤波法的轨道车辆轮轨力识别[J].振动工程学报,2019,32(4):602-608.
WANG Ming-meng, ZHU Tao, WANG Xiao-rui, et al. An inverse structural filter method for wheel-rail contact forces identification of railway vehicles[J]. Journal of Vibration Engineering, 2019, 32(4): 602-608.(in Chinese)
[26] 李广全.高速列车齿轮箱箱体动态特性及疲劳可靠性研究[D].北京:北京交通大学,2018.
LI Guang-quan. Study on dynamic characteristics and fatigue reliability of high speed train gearbox housing[D]. Beijing: Beijing Jiaotong University, 2018.(in Chinese)
[27] HANSEN P C. The truncated SVD as a method for regularization[J]. BIT Numerical Mathematics, 1987, 27(4): 534-553.
[28] 汤阿妮.基于核密度估计算法的飞机载荷谱统计技术[J].北京航空航天大学学报,2011,37(6):654-657,664.
TANG A-ni. Technique of aircraft loads spectrum statistics based on kernel density estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 654-657, 664.(in Chinese)
[29] 陈道云,孙守光,李 强.一种新的高速列车动应力谱分布估计方法[J].机械工程学报,2017,53(8):109-114.
CHEN Dao-yun, SUN Shou-guang, LI Qiang. A new dynamic stress spectrum distribution estimation method of high-speed train[J]. Journal of Mechanical Engineering, 2017, 53(8): 109-114.(in Chinese)
[30] 禹文豪,艾廷华.核密度估计法支持下的网络空间POI点可视化与分析[J].测绘学报,2015,44(1):82-90.
YU Wen-hao, AI Ting-hua. The visualization and analysis of POI features under network space supported by kernel density estimation[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1): 82-90.(in Chinese)
[31] 程 礼,屈 轲,陈 卫,等.某型涡桨发动机减速器整机振动监控阀值研究[J].振动与冲击,2015,34(18):136-141.
CHENG Li, QU Ke, CHEN Wei, et al. Vibration monitoring threshold of turboprop engine reducer[J]. Journal of Vibration and Shock, 2015, 34(18): 136-141.(in Chinese)
[32] 李煜佳.钛合金Ti-6A1-4V的疲劳行为及疲劳设计曲线研究[D].上海:华东理工大学,2014.
LI Yu-jia. Investigation of fatigue properties and fatigue design diagram of titanium alloy Ti-6Al-4V[D]. Shanghai: East China University of Science and Technology, 2014.(in Chinese)
[33] 易当祥,吕国志,周雄伟.用概率推断法确定多工况二维疲劳设计谱的载荷最大值[J].应用力学学报,2006,23(3):484-487.
YI Dang-xiang, LYU Guo-zhi, ZHOU Xiong-wei. Maximal loading calculation for two dimensional fatigue design spectrum under multiple working conditions with probability extrapolation method[J]. Chinese Journal of Applied Mechanics, 2006, 23(3): 484-487.(in Chinese)

Memo

Memo:
-
Last Update: 2020-08-20