Probabilistic response and rare events in Mathieu׳s equation under correlated parametric excitation
Author(s)
Mohamad, Mustafa A.; Sapsis, Themistoklis P.
Downloadoe_mathieu.pdf (2.392Mb)
PUBLISHER_CC
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
We derive an analytical approximation to the probability distribution function (pdf) for the response of Mathieu׳s equation under parametric excitation by a random process with a spectrum peaked at the main resonant frequency, motivated by the problem of large amplitude ship roll resonance in random seas. The inclusion of random stochastic excitation renders the otherwise straightforward response to a system undergoing intermittent resonances: randomly occurring large amplitude bursts. Intermittent resonance occurs precisely when the random parametric excitation pushes the system into the instability region, causing an extreme magnitude response. As a result, the statistics are characterized by heavy-tails. We apply a recently developed mathematical technique, the probabilistic decomposition-synthesis method, to derive an analytical approximation to the non-Gaussian pdf of the response. We illustrate the validity of this analytical approximation through comparisons with Monte-Carlo simulations that demonstrate our result accurately captures the strong non-Gaussianinty of the response. Keywords: Mathieu׳s equationColored stochastic excitationHeavy-tailsIntermittent instabilitiesRare eventsStochastic roll resonance
Date issued
2016-03Department
Massachusetts Institute of Technology. Department of Mechanical EngineeringJournal
Ocean Engineering
Publisher
Elsevier
Citation
Mohamad, Mustafa A., and Themistoklis P. Sapsis. “Probabilistic Response and Rare Events in Mathieu׳s Equation under Correlated Parametric Excitation.” Ocean Engineering, vol. 120, July 2016, pp. 289–97.
Version: Author's final manuscript
ISSN
0029-8018