考虑轮辙相干性的二维随机路面的构造方法

张哲,王汉平,李倩

振动与冲击 ›› 2020, Vol. 39 ›› Issue (18) : 238-241.

PDF(958 KB)
PDF(958 KB)
振动与冲击 ›› 2020, Vol. 39 ›› Issue (18) : 238-241.
论文

考虑轮辙相干性的二维随机路面的构造方法

  • 张哲,王汉平,李倩
作者信息 +

Model for the construction of 2D road roughness in consideration of the coherence function between different wheel tracks

  • ZHANG Zhe,WANG Hanping,LI Qian
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文章历史 +

摘要

基于路面不平度数值重构的谐波叠加法,在综合考虑路面功率谱密度及不同轮辙间相干函数的情况下,提出了一种在单轮辙谐波叠加组分基础上附加谐波扰动的路面不平度构造方法,该方法解析获得了扰动组分相位角与单轮辙谐波叠加组分相位角的代数关系,在保证新轮辙功率谱密度与标准功率谱密度相吻合的同时,也较好地符合了轮辙间的相干关系,由此推广获得了考虑轮辙相干关系的二维路面不平度仿真模型。基于MATLAB的路面模拟表明,自功率谱密度和不同轮辙的相干函数均吻合较好,验证了该模型的仿真结果具有较高的可信度。

Abstract

Based on the harmonic superposition method for numerical reconstruction of road roughness, considering the power spectral density(PSD) and the coherence function between different wheel tracks, a method for constructing road roughness with additional harmonic disturbance on the basis of single wheel track harmonic superposition component was proposed. The method ensured that the PSD of new wheel track coincided well with the standard PSD, the same as the coherence function between different wheel tracks. Therefore, a simulation model of 3D road roughness considering wheel track’s coherence function was built. The 2D road roughness simulation based on MATLAB showed that the self-PSD of different wheel tracks almost coincided with the standard PSD, and the coherence function between different wheel tracks was in good agreement, which verified that the simulation results of the 3D road roughness had high reliability.

关键词

动力随机路面 / 谐波叠加法 / 相干函数 / 自功率谱密度 / 互功率谱密度 / 相位角

Key words

road roughness / harmonic superposition method / coherence function / self-power spectral density / cross power spectral density / phase angle

引用本文

导出引用
张哲,王汉平,李倩. 考虑轮辙相干性的二维随机路面的构造方法[J]. 振动与冲击, 2020, 39(18): 238-241
ZHANG Zhe,WANG Hanping,LI Qian. Model for the construction of 2D road roughness in consideration of the coherence function between different wheel tracks[J]. Journal of Vibration and Shock, 2020, 39(18): 238-241

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