A Semi-Analytical Method of Solving the Fokker-Planck-Equation for High-Dimensional Nonlinear Mechanical Systems

Stochastic processes are a common way of describing systems that are subjected to random influences. Technical systems may be excited by road roughness or wind gusts, for example, as well as fluctuating system parameters, which can all be described by stochastic differential equations. In previous w...

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Bibliographic Details
Published inProceedings in applied mathematics and mechanics Vol. 12; no. 1; pp. 243 - 244
Main Author Martens, Wolfram
Format Journal Article
LanguageEnglish
Published Berlin WILEY-VCH Verlag 01.12.2012
WILEY‐VCH Verlag
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Summary:Stochastic processes are a common way of describing systems that are subjected to random influences. Technical systems may be excited by road roughness or wind gusts, for example, as well as fluctuating system parameters, which can all be described by stochastic differential equations. In previous works by the author and others (see [1], for example) it has been demonstrated how a Galerkin‐method can be used to obtain global numerical solutions of the Fokker‐Planck‐Equation (FPE) for nonlinear random systems. Computational efforts are reduced by orthogonal polynomial expansion of approximate solutions so that probability density functions (pdfs) for comparably high‐dimensional problems have been computed successfully. Stationary mechanical systems with dimensions up to d = 10 have been investigated, including polynomial as well as non‐smooth nonlinearities. This article presents results for different energy‐harvester‐systems under stochastic excitation, a field of research that has become the subject of increasing attention in the last years. (© 2012 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Bibliography:ark:/67375/WNG-NHZV7S6R-2
istex:5364CD2A32AAA2C0071EB87A0C46DCDB9C6719B4
ArticleID:PAMM201210112
ISSN:1617-7061
1617-7061
DOI:10.1002/pamm.201210112