The reliability test track has much stronger excitations on vehicles than common roads, and its amplitude distribution often presents obvious non-Gaussian features; But the existing time-domain road excitation modeling methods are all based on Gaussian assumption so can not accurately describe the non-Gaussian feature of road excitation. In this paper, a parameters recognition method of the non-Gaussian feature of road excitation and a method of reconstructing non-Gaussian time-domain excitation based on recognition results are proposed based on the theory of symmetric stable distribution. The methods are applied to the reconstruction of collected spectra of test ground track for a construction vehicle. The results show that the reconstructed spectra has similar RMS values as that of collected spectra, and can accurately reflect the non-Gaussian features of original collected excitation amplitude.%可靠性试验场道路比普通道路能够给予车辆更强烈的激励,其幅值分布往往体现出明显的非高斯特征.但现有的道路时域激励建模方法均基于高斯假设,无法准确描述道路激励的非高斯特征.本文中基于对称α-稳定分布理论,提出了一种针对道路激励非高斯特征的参数辨识方法和根据辨识结果重构非高斯时域激励的方法.将该方法应用于某工程车试验场道路采集谱的重构工作,所得重构谱与采集谱具有相似的RMS值,且可准确反映出原采集激励幅值的非高斯分布特征.
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