Frequency domain calibration and establishment method for load spectrum of bogie frame
-
摘要: 分析了时域内准静态载荷-应力传递关系, 以载荷间互谱密度的参数作为载荷耦合作用的表征量, 基于多轴频域疲劳基本理论推导了频域内等效应力的表达式; 得到了与多轴加载等效的分立载荷系的表达式; 为保证载荷谱计算损伤可以覆盖线路实测损伤, 以应力信号自功率谱密度的0阶谱矩作为表征损伤的参量, 约束载荷对测点损伤的贡献占比, 根据损伤一致性原则, 采用NSGA-Ⅱ多目标优化算法进行载荷校准; 对国内某型地铁转向架构架进行线路测试, 获得了载荷和应力数据, 并进行了数据分析。研究结果表明: 载荷系中构架横向载荷的线路实测方差最大, 为5.08, 电机横向载荷方差最小, 为0.02;频域内考虑载荷耦合效应的损伤校准精度为1.08×10-5, 而采用时域分立谱的损伤校准精度为2.91×10-3, 频域法比时域法的校准精度提高了99.63%;频域内考虑耦合作用的载荷校准系数的综合调整倍数为31.81, 相比时域内采用分立谱校准系数的调整倍数下降了41.71%, 频域法的系数调整最大倍数为6.99, 时域法为15.68, 前者比后者降低了55.42%。可见: 频域内考虑载荷耦合作用的校准方法在误差精度上要优于时域内采用分立谱的校准方法; 频域法的系数调整比例的分散度低于时域法, 校准载荷更接近实测载荷, 校准结果可信度高; 由于校准过程中考虑了载荷间的关联性, 研究得到的载荷系可同时应用于试验台多轴加载以及仿真独立加载, 实现了2种加载方式的统一, 为构架载荷谱的建立方式提出了新思路。Abstract: The quasi-static load-stress transfer relationship in time-domain was analyzed. The parameters of cross-spectral density between loads were taken as the characterization of load coupling effect. Based on the basic theory of multi-axis frequency-domain fatigue, the expression of equivalent stress in frequency-domain was derived. The expressions of discrete load system equivalent to the multi-axis load were obtained. In order to ensure that the damage calculated by load spectrum can cover the measured damage of test line, the 0-order spectral moment of the self-power spectral density of stress signal was taken as the parameter to characterize the damage, and the contribution ratio of load to the damage at the measured point was restrained. According to the principle of damage consistency, load calibration was carried out by using the NSGA-Ⅱ multi-objective optimization algorithm. The line test on a domestic metro bogie frame was carried out, the load and stress data were obtained, and the data processing and analysis were carried out. Analysis result shows that in the load system, the measured variance of the transverse load of frame is the largest, which is 5.08, and the variance of the transverse load of motor is the smallest, which is 0.02. The damage calibration accuracy considering load coupling effect in frequency domain is 1.08×10-5, while the damage calibration accuracy using the time-domain discrete spectrum is 2.91×10-3. The calibration accuracy of frequency-domain method is 99.63% higher than that of time-domain method. The comprehensive adjustment multiple of load calibration coefficient considering the coupling effect in frequency domain is 31.81, which is 41.71% lower than that using the discrete spectrum in time domain. The maximum coefficient adjustment multiple of frequency-domain method is 6.99, and the multiple of time-domain method is 15.68, the former is 55.42% lower than the latter. So the calibration method considering the load coupling effect in frequency domain is superior to the calibration method using the discrete spectrum in time domain in terms of error accuracy. The dispersion of coefficient adjustment ratio of frequency-domain method is lower than that of time-domain method. The calibration load is closer to the measured load, and the reliability of calibration results is high. Because the correlation between loads is taken into account in the calibration process, the load system can be applied to multi-axis loading of test bed and independent loading of simulation. The unification of the two loading modes is realized, which provides a new idea for the establishment of frame load spectrum.
-
表 1 载荷系相关系数
Table 1. Correlation coefficients among load systems
载荷 1 2 3 4 5 6 7 8 9 10 11 1 1.00 0.15 -0.19 -0.16 0.06 0.04 -0.20 -0.12 -0.04 -0.03 -0.03 2 1.00 0.06 0.55 -0.03 0.14 -0.69 -0.04 0.10 0.05 0.60 3 1.00 0.60 0.05 -0.15 0.72 0.10 -0.15 -0.06 -0.53 4 1.00 -0.11 -0.17 0.86 0.03 0.14 -0.07 -0.63 5 1.00 -0.35 0.12 -0.05 -0.06 -0.37 -0.07 6 1.00 -0.18 -0.03 0.08 0.39 0.09 7 1.00 -0.06 0.09 -0.09 -0.61 8 1.00 0.38 -0.02 -0.02 9 1.00 -0.04 0.11 10 1.00 0.08 11 1.00 表 2 优化后的准静态载荷校准系数解集
Table 2. Optimized solution sets of calibration coefficients for quasi-static loads
解集 浮沉 侧滚 扭转 构架横向 构架纵向 制动 菱形 电机垂向 电机横向 齿轮箱垂向 横向减振器 1 4.10 3.05 0.50 1.77 4.31 9.94 1.64 2.02 1.59 0.58 5.10 2 4.10 5.56 0.50 1.51 3.90 6.99 1.95 1.56 2.48 0.67 5.10 3 9.52 8.08 0.35 4.47 4.42 11.58 2.44 0.85 2.41 0.88 9.52 4 9.29 8.23 0.49 4.53 4.20 11.58 2.76 0.77 2.29 0.88 9.29 5 9.48 8.08 0.48 4.33 4.01 11.35 2.55 0.88 2.67 0.71 9.48 表 3 载荷系方差
Table 3. Variances of load system
载荷编号 分立载荷校准方差 分立载荷等效方差 1 0.61 0.82 2 3.57 1.83 3 2.52 3.98 4 0.92 -9.82 5 0.06 0.16 6 0.11 0.06 7 10.48 6.76 8 0.44 0.56 9 0.01 0.01 10 0.12 0.05 11 0.18 0.04 -
[1] 张立. 北京地铁2号线车辆转向架构架载荷测试与研究[D]. 北京: 北京交通大学, 2017.ZHANG Li. Load test and study on bogie frame of Beijing Subway Line 2[D]. Beijing: Beijing Jiaotong University, 2017. (in Chinese). [2] 李凡松, 邬平波, 曾京, 等. 构架三种常用疲劳强度校核方法对比研究[J]. 机械工程学报, 2014, 50(14): 170-176. https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201414028.htmLI Fan-song, WU Ping-bo, ZENG Jing, et al. Study on the differences between the three common fatigue strength analysis methods for bogie frame[J]. Journal of Mechanical Engineering, 2014, 50(14): 170-176. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201414028.htm [3] 朱宁. 高速列车转向架结构损伤一致性载荷谱理论研究[D]. 北京: 北京交通大学, 2016.ZHU Ning. Theoretical research of damage consistency load spectra on bogie frame structures of high-speed trains[D]. Beijing: Beijing Jiaotong University, 2016. (in Chinese). [4] 王文静, 王燕, 孙守光, 等. 高速列车转向架载荷谱长期跟踪试验研究[J]. 西南交通大学学报, 2015, 50(1): 84-89. https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT201501014.htmWANG Wen-jing, WANG Yan, SUN Shou-guang, et al. Long-term load spectrum test of high-speed train bogie[J]. Journal of Southwest Jiaotong University, 2015, 50(1): 84-89. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT201501014.htm [5] 唐琦. 时速120公里客车209P转向架焊接构架可靠性提升技术研究[D]. 北京: 北京交通大学, 2016.TANG Qi. Research on reliability improvement of 209P bogie welded frame of passenger car with 120 kilometers per hour[D]. Beijing: Beijing Jiaotong University, 2016. (in Chinese). [6] 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. doi: 10.3969/j.issn.1001-8360.2016.10.004ZOU 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). doi: 10.3969/j.issn.1001-8360.2016.10.004 [7] 邹骅. 城际动车组转向架构架载荷谱研究[D]. 北京: 北京交通大学, 2016.ZOU Hua. The study on intercity EMU bogie frame load spectrum[D]. Beijing: Beijing Jiaotong University, 2016. (in Chinese). [8] 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. http://transport.chd.edu.cn/article/id/201701008LU 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). http://transport.chd.edu.cn/article/id/201701008 [9] 高喜峰, 廖宏运, 徐万海. 非对称边界悬跨管道的涡激振动疲劳特性分析[J]. 哈尔滨工程大学学报, 2019, 40(5): 960-966. https://www.cnki.com.cn/Article/CJFDTOTAL-HEBG201905015.htmGAO Xi-feng, LIAO Hong-yun, XU Wan-hai. Analysis of VIV-induced fatigue characteristic of spanning pipelines with asymmetric boundary[J]. Journal of Harbin Engineering University, 2019, 40(5): 960-966. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HEBG201905015.htm [10] 田新伟, 周帅, 胡亮, 等. 基于流固耦合的高压油管振动疲劳特性研究[J]. 振动、测试与诊断, 2018, 38(6): 1234-1239. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS201806026.htmTIAN Xin-wei, ZHOU Shuai, HU Liang, et al. Vibration fatigue characteristic of high-pressure fuel pipe based on fluid-solid coupling model[J]. Journal of Vibration, Measurement and Diagnosis, 2018, 38(6): 1234-1239. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS201806026.htm [11] 蒋陪, 温熙森, 陈循, 等. 非高斯随机应力载荷频域疲劳寿命估计方法[J]. 机械工程学报, 2006, 42(2): 51-56. https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200602010.htmJIANG Pei, WEN Xi-sen, CHEN Xun, et al. Spectral fatigue life estimate under non-Gaussian random stress[J]. Chinese Journal of Mechanical Engineering, 2006, 42(2): 51-56. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200602010.htm [12] 方吉, 李季涛, 王悦东, 等. 基于随机振动理论的焊接结构疲劳寿命概率预测方法研究[J]. 工程力学, 2016, 33(3): 24-30. https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201603005.htmFANG Ji, LI Ji-tao, WANG Yue-dong, et al. Research on fatigue life probability prediction method of welded structure based on random vibration theory[J]. Engineering Mechanics, 2016, 33(3): 24-30. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201603005.htm [13] HERVE R, MOHAMED B, TONY D S, et al. Comparison of spectral methods for fatigue analysis in non-Gaussian random processes application to elastic-plastic behavior[J]. Procedia Engineering, 2015, 101: 430-439. doi: 10.1016/j.proeng.2015.02.052 [14] BENASCIUTTI D, TOVO R. Comparison of spectral methods for fatigue analysis of broad-band Gaussian random processes[J]. Probabilistic Engineering Mechanics, 2006, 21(4): 287-299. [15] 蒋培. 全轴随机振动环境的疲劳强化机理研究[D]. 长沙: 国防科学技术大学, 2003.JIANG Pei. Fatigue enhancement mechanism of the omni-axes random vibration environment[D]. Changsha: National University of Defense Technology, 2003. (in Chinese). [16] WIRSCHING P H, LIGHT M C. Fatigue under wide band random stress[J]. Journal of Engineering Materials and Technology, 1977, 99(3): 1593-1607. [17] TUNNA J M. Fatigue life prediction for Gaussian random loads at the design stage[J]. Fatigue and Fracture of Engineering Materials and Structures, 1986, 9(3): 169-184. [18] DIRLIK T. Application of computers in fatigue analysis[D]. Coventry: University of Warwick, 1985. [19] ZHAO Wang-wen, BAKER M J. On the probability density function of rainflow stress range for stationary Gaussian processes[J]. International Journal of Fatigue, 1992, 14(2): 121-135. [20] TOVO R. Cycle distribution and fatigue damage under broad-band random loading[J]. International Journal of Fatigue, 2002, 24(11): 1137-1147. [21] BENASCIUTTI D, TOVO R. Spectral methods for lifetime prediction under wide-band stationary random processes[J]. International Journal of Fatigue, 2005, 27(8): 867-877. [22] CRISTOFORI A, BENASCIUTTI D, TOVO R. A stress invariant based spectral method to estimate fatigue life under multiaxial random loading[J]. International Journal of Fatigue, 2011, 33(7): 887-899. [23] BENASCIUTTI D, CRISTOFORI A, TOVO R. Analogies between spectral methods and multiaxial criteria in fatigue damage evaluation[J]. Probabilistic Engineering Mechanics, 2013, 31(31): 39-45. [24] PITOISET X, PREUMONT A. Spectral methods for multiaxial random fatigue analysis of metallic structures[J]. International Journal of Fatigue, 2000, 22(7): 541-550. [25] PITOISET X, RYCHLIK I, PREUMONT A. Spectral methods to estimate local multiaxial fatigue failure for structures undergoing random vibrations[J]. Fatigue and Fracture of Engineering Materials and Structures, 2010, 24(11): 715-727. [26] LAMBERT S, PAGNACCO E, KHALIJ L. A probabilistic model for the fatigue reliability of structures under random loadings with phase shift effects[J]. International Journal of Fatigue, 2010, 32(2): 463-474. [27] CARPINTERI A, SPAGNOLI A, VANTADORI S. Reformulation in the frequency domain of a critical plane-based multiaxial fatigue criterion[J]. International Journal of Fatigue, 2014, 67: 55-61. [28] BENASCIUTTI D, SHERRATT F, CRISTOFORI A. Recent developments in frequency domain multi-axial fatigue analysis[J]. International Journal of Fatigue, 2016, 91: 397-413. [29] 向清怡, 吕彭民, 王斌华, 等. 液压挖掘机斗杆台架疲劳试验载荷等效方法[J]. 中国公路学报, 2018, 31(6): 317-326. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201806020.htmXIANG Qing-yi, LYU Peng-min, WANG Bin-hua, et al. Load equivalent method for fatigue bench test of hydraulic excavator stick[J]. China Journal of Highway and Transport, 2018, 31(6): 317-326. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201806020.htm [30] 李宇婧, 李宏男, 李超. 基于偏好序的桥梁结构全寿命抗震设计多目标优化模型[J]. 中国公路学报, 2017, 30(12): 187-195. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201712021.htmLI Yu-jing, LI Hong-nan, LI Chao. Preference-based multi-objective optimization model for life-cycle seismic design of bridge[J]. China Journal of Highway and Transport, 2017, 30(12): 187-195. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201712021.htm [31] 杨帆, 邓斌, 王国志, 等. 基于Pareto排序遗传算法的改进型扩张室压力脉动衰减器多目标优化[J]. 振动与冲击, 2018, 37(12): 1-8, 34. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201812001.htmYANG Fan, DENG Bin, WANG Guo-zhi, et al. Multi-optimization on improved expansion chamber hydraulic pulsation attenuators using a NSGA[J]. Journal of Vibration and Shock, 2018, 37(12): 1-8, 34. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201812001.htm [32] 王萌. 焊接转向架构架线路载荷的特征与应用研究[D]. 北京: 北京交通大学, 2016.WANG Meng. Study on characteristics and applications of on-track load of welded bogie frame[D]. Beijing: Beijing Jiaotong University, 2016. (in Chinese). -