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基于实测国际粗糙度指数的非高斯路谱建模
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作者 徐飞 宋浩 +1 位作者 KJELL Ahlin 王斌翊 《火炮发射与控制学报》 北大核心 2024年第4期7-12,共6页
功率谱密度被广泛用于表征路面不平度,进而用于评估路面振动环境下武器装备系统(如火炮、战车)的可靠性和疲劳寿命,其隐含的假设条件是路面不平度服从高斯分布。然而,实测路面不平度常常具有非高斯特性,导致武器装备系统更快地发生疲劳... 功率谱密度被广泛用于表征路面不平度,进而用于评估路面振动环境下武器装备系统(如火炮、战车)的可靠性和疲劳寿命,其隐含的假设条件是路面不平度服从高斯分布。然而,实测路面不平度常常具有非高斯特性,导致武器装备系统更快地发生疲劳失效。为提高评估精度,提出一种基于实测国际粗糙度指数的非高斯路谱建模方法。首先由ISO标准功率谱密度生成高斯路谱,然后由实测国际粗糙度指数生成具有相同统计特性的幅值调制信号,最后利用幅值调制法生成非高斯路谱。案例分析表明,直接采用高斯模型描述路面不平度会导致欠试验;而利用提出的方法可得到与实测IRI相同的统计特性,可有效提高路谱激励下武器装备系统的可靠性和耐久性评估精度。 展开更多
关键词 功率密度 高斯 国际粗糙度指数 幅值调制法
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天气雷达降水回波信号特征研究 被引量:1
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作者 张振仟 胡明宝 +1 位作者 孟鑫 魏浩 《现代雷达》 CSCD 北大核心 2016年第9期12-16,共5页
引入偏斜度、峰度、均方差等三个信号特征参数,对天气雷达获取的大量降水回波信号的多普勒频谱进行分析。初步研究结果显示:降水回波信号的多普勒频谱分布与回波谱宽大小有关,当回波速度谱宽大于3.5 m/s时,降水回波信号多普勒频谱与高... 引入偏斜度、峰度、均方差等三个信号特征参数,对天气雷达获取的大量降水回波信号的多普勒频谱进行分析。初步研究结果显示:降水回波信号的多普勒频谱分布与回波谱宽大小有关,当回波速度谱宽大于3.5 m/s时,降水回波信号多普勒频谱与高斯谱偏差较大;当回波速度谱宽小于3.5 m/s时,降水回波信号多普勒频谱与高斯谱非常接近。 展开更多
关键词 天气雷达 信号处理 降水回波信号多普勒频 非高斯谱
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Wind tunnel test for wind pressure characteristics on a saddle roof
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作者 董欣 叶继红 《Journal of Southeast University(English Edition)》 EI CAS 2010年第3期436-443,共8页
The wind pressure characteristics on a saddle roof at wind direction along the connection of the low points are systematically studied by the wind tunnel test. First, the distributions of the mean and the fluctuating ... The wind pressure characteristics on a saddle roof at wind direction along the connection of the low points are systematically studied by the wind tunnel test. First, the distributions of the mean and the fluctuating pressures on the saddle roof are provided. Through the wind pressure spectra, the process of generation, growth and break down of the vortex on the leading edge is presented from a microscopic aspect and then the distribution mechanism of the mean and fluctuating pressures along the vulnerable leading edge is explained. By analysis of the wind pressure spectra near the high points, it can be inferred that the body induced turbulence reflects itself as a high-frequency pressure fluctuation. Secondly, the third-and fourth-order statistical moments of the wind pressure are employed to identify the non-Gaussian nature of the pressure time history and to construct an easy tool to localize regions with a non-Gaussian feature. The cause of the non-Gaussian feature is discussed by virtue of the wind pressure spectra. It is concluded that the non-Gaussian feature of the wind pressure originates from the effects of flow separation and body-induced turbulence, and the former effect plays an obvious role. 展开更多
关键词 saddle roof mechanism of wind pressure distribution wind pressure spectra non-Gaussian feature
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