Abstract

Probability distribution of stationary responses of a nonlinear system subjected to a random train of impulses which occur at random times and have random amplitudes is analyzed. Firstly, statistical properties of a random train of impulses are formulated, and equations for statistical moments of responses are derived. Secondly, weighted sum of several Gaussian probability density functions with various parameters is used to approximate the probability density functions of responses which are generally non-Gaussian. Computational procedure is shown and numerical examples are given for a Duffing oscillator. The usefulness of the present method is demonstrated by comparison with simulation results.

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