| 基于S变换的汽车零部件疲劳载荷谱编辑法研究 |
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| 引用本文： | 董国疆,韩杰,张永强,魏留伟.基于S变换的汽车零部件疲劳载荷谱编辑法研究[J].中国公路学报,2021,34(5):204-214. |
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| 作者姓名： | 董国疆 韩杰 张永强 魏留伟 |
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| 作者单位： | 燕山大学 河北省特种运载装备重点实验室, 河北 秦皇岛 066004 |
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| 基金项目： | 国家自然科学基金项目（51775481） |
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| 摘 要： | 小波变换和短时傅里叶变换为频域载荷谱编辑方法的主要分析工具，小波变换法分解函数及分解层数难确定和短时傅里叶变换法窗宽固定的缺陷，导致对随机载荷的分析结果存在偏差，影响载荷编辑质量。为解决此问题，基于S变换基本理论，探索S变换在载荷加速编辑领域的应用，对试验场采集的应变信号进行S变换分析提取最大幅值谱，并以此为依据提取轮心六分力信号中的损伤载荷获取加速谱。将S变换、损伤保留、小波变换和短时傅里叶变换加速谱从载荷压缩量、损伤保留比例、功率谱密度、统计参数、穿级计数和疲劳仿真等方面进行对比分析。研究结果表明：基于S变换最大幅值谱可准确识别原始信号中的小损伤载荷；保留相同损伤保留量前提下，S变换加速谱的压缩效率最高且统计参数误差最小；S变换编辑法可将原始载荷时间压缩46.67%，同时加速谱的疲劳分析误差仅为2.2%，可获得与原始载荷相同的分析结果；S变换编辑法在疲劳分析效率和分析精度方面优于损伤保留、小波变换和短时傅里叶变换编辑法；该方法适用于汽车零部件疲劳耐久性分析。
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| 关 键 词： | 汽车工程 载荷谱编辑 最大幅值谱 S变换 转向节 损伤保留法 加速疲劳 |
| 收稿时间： | 2020-03-02 |
Fatigue Load Spectrum Editing Method for Vehicle Parts Based on S Transform |
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| DONG Guo-jiang,HAN Jie,ZHANG Yong-qiang,WEI Liu-wei.Fatigue Load Spectrum Editing Method for Vehicle Parts Based on S Transform[J].China Journal of Highway and Transport,2021,34(5):204-214. |
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| Authors: | DONG Guo-jiang HAN Jie ZHANG Yong-qiang WEI Liu-wei |
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| Affiliation: | Hebei Key Laboratory of Special Delivery Equipment, Yanshan University, Qinhuangdao 066004, Hebei, China |
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| Abstract: | Wavelet transform and short-time Fourier transform are the main analysis tools for frequency-domain load spectrum editing methods. In the wavelet transform method, it is difficult to determine the decomposition function and number of decomposition layers and the defects of the short-time Fourier transform's fixed window width lead to deviations of the analysis results of random loads, which affects the quality of load spectrum editing. To overcome this problem, in this study, the application of S transform in load spectrum editing was analyzed based on the basic theory of S transform. An S transform analysis was performed on the strain signal collected in a test field to extract the maximum amplitude spectrum. Based on the maximum amplitude spectrum, the accelerated spectrum of the wheel center six-component force was obtained. The accelerated spectrum of the S transform, damage retention, wavelet transform, and short-time Fourier transform were compared and analyzed in terms of load compression ratio, damage protection ratio, power spectral density, statistical parameters, cross count, and fatigue simulation. The maximum amplitude spectrum based on the S transform can accurately identify a small damage load in the original signal. Owing to the preserved damage retention, the compression efficiency of the S-transform accelerated spectrum is highest and the statistical parameter error is smallest. The S-transform editing method can compress the original load time by 46.67%. In addition, the fatigue analysis error of the accelerated spectrum is only 2.2%, which can provide the same analysis results as those of the original load. The S-transform editing method is superior to the damage retention, wavelet transform, and short-time Fourier transform editing methods in terms of fatigue analysis efficiency and analysis accuracy. This method is suitable for fatigue durability analyses of automotive parts. |
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| Keywords: | automotive engineering load spectrum editing maximum amplitude spectrum S transform steering knuckle damage retention method accelerated fatigue |
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