Abstract：The use of Monte Carlo simulation method for solving complex dynamic problems in vibration engineering requires accurate simulation of various random vibration. In situations where the random vibration has a significant non-Gaussian feature, the use of traditional Gaussian to approximate the non-Gaussian vibration will result in a larger error，so the techniques for their accurate simulation must be available. The various existing simulation methods of non-Gaussian vibration generally can only simulate super-Gaussian vibration with the high-peak characteristics. And most these methods are very complicated, not sufficiently intuitive, requiring repeated iteration, or with the low simulation accuracy and efficiency. This paper presents a novel approach for the simulation of non-Gaussian random vibration with the prescribed statistical and spectral characteristics by amplitude modulation and phase reconstruction, which is simple and intuitive and can simulate both super-Gaussian and sub-Gaussian random vibration. Another attractive feature of the method is that the process can be implemented efficiently using the Fast Fourier Transform technique. Several simulation examples demonstrate the efficiency and accuracy of the proposed algorithm.
蒋瑜;陶俊勇;王得志;陈循. 一种新的非高斯随机振动数值模拟方法[J]. , 2012, 31(19): 169-173.
Jiang Yu Tao Junyong Wang Dezhi Chen Xun. A Novel Approach for the Numerical Simulation of Non-Gaussian Random Vibration. , 2012, 31(19): 169-173.
2012, Vol. 31 
