随机过程的随机谐和函数表达
Stochastic harmonic function and spectral representations
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摘要: 研究了随机过程的随机谐和函数表达及其性质. 首先证明了当随机谐和函数的频率分布与目标功率谱密度函数形状一致时, 随机谐和函数过程的功率谱密度函数等于目标功率谱密度函数. 进而, 证明了随机谐和函数过程的渐进正态性, 讨论了趋向正态分布的速率, 并采用Pearson分布研究了一维概率密度函数的性质. 与已有的随机过程谱表达方式相比, 采用随机谐和函数表达, 仅需要很少的展开项数, 即可获得精确的目标功率谱密度函数, 从而大大降低了与之相关的随机动力系统分析的难度. 最后, 以多自由度体系的线性和非线性响应分析为例, 验证了随机谐和函数模型的有效性和优越性.Abstract: Stochastic harmonic function representations and their properties are studied. In thepaper, it is firstly proved that as the distributions of the random frequencies are consistent with thetarget power spectral density function, the power spectral density of the stochastic harmonicprocess is identical to the target power spectral density. Further, it is proved that the stochasticharmonic process is asymptotically normally distributed. The rate of approaching normaldistribution is discussed by adopting Pearson distribution to describe the one-dimensionaldistribution of the stochastic harmonic process. Compared to existing representations of stochasticprocess, very few stochastic harmonic components can capture the exact target power spectraldensity. This greatly reduces the number of the random variables and thus eases the difficulty ofstochastic dynamics. Finally, linear and nonlinear responses of a multi-degree-of-freedom systemsubjected to random ground motions are carried out to exemplify the effectiveness and advantagesof the stochastic harmonic representations.Keywords: Stochastic harmonic function, power spectral density function, covariance function,stationary process, nonlinearity