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路面随机谱激励的数值计算方法及统计特征 被引量:8

Numerical Calculation Methods and Statistic Characters on Road Surface Random Spectral Excitation
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摘要 对路面随机谱激励的3种白噪声输入及由其计算输出的2种数值方法进行了比照,分析了其统计特征。在正态分布、均匀分布和同余法产生的零均值白噪声的输入下,计算了基于标准路面等级输入的三角级数模型,以及基于实测数据的自回归模型的路面随机谱激励。结果表明:3种白噪声的输入在时域上的频次与其子区间的长度正相关,路面随机谱激励幅值的频次特征决定于其分布类型,且由此具备不同统计特征;均匀分布宜作为三角级数法的随机相位角输入;路面不平度系数的大小决定了幅值频次和路面功率谱密度的分布区间。 Three white-noise inputs and two numerical calculation methods on the road surface random spectral excitations were investigated and their statistic analyses were performed. The trigonometric series model based on the grade inputs of standard surface and the road surface random spectral excitations of autoregressive model based on engineering data were calculated under the normal distribution, the uniform distribution and the congruence white-noise input. Results show that time-domain frequencies of three white-noise inputs depend on their subsection lengths, and the amplitude frequency characters of road surface random spectral excitations depend on their distribution types with special statistic characters. Stochastic phase angle input to the trigonometric series model is the uniform distribution. The amplitude frequencies and distribution interval of power spectrum density of road surface depend on the roughness coeffcient.
出处 《中国公路学报》 EI CAS CSCD 北大核心 2009年第3期20-25,共6页 China Journal of Highway and Transport
基金 国家自然科学基金项目(50608036) 华中科技大学研究生科技创新基金项目(HF-06-028)
关键词 道路工程 路面随机谱激励 数值计算 统计特征 三角级数模型 自回归模型 road engineering road surface random spectral excitation numerical calculation statistic character trigonometric aeries model autoregressive model
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参考文献11

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