6533b834fe1ef96bd129d426
RESEARCH PRODUCT
Stationary and Nontationary Response Probability Density Function of a Beam under Poisson White Noise
Marcello VastaM. Di Paolasubject
symbols.namesakeCharacteristic function (probability theory)Cumulative distribution functionMathematical analysissymbolsFirst-order partial differential equationProbability distributionProbability density functionWhite noiseMoment-generating functionPoisson distributionMathematicsdescription
In this paper an approximate explicit probability density function for the analysis of external oscillations of a linear and geometric nonlinear simply supported beam driven by random pulses is proposed. The adopted impulsive loading model is the Poisson White Noise , that is a process having Dirac’s delta occurrences with random intensity distributed in time according to Poisson’s law. The response probability density function can be obtained solving the related Kolmogorov-Feller (KF) integro-differential equation. An approximated solution, using path integral method, is derived transforming the KF equation to a first order partial differential equation. The method of characteristic is then applied to obtain an explicit solution. Different levels of approximation, depending on the physical assumption on the transition probability density function, are found and the solution for the response density is obtained as series expansion using convolution integrals.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-01-01 |