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contributor authorSpanos, Pol D.
contributor authorKougioumtzoglou, Ioannis A.
date accessioned2017-05-09T01:04:51Z
date available2017-05-09T01:04:51Z
date issued2014
identifier issn0021-8936
identifier otherjam_081_05_051016.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/153821
description abstractA novel approximate analytical technique for determining the survival probability and firstpassage probability density function (PDF) of nonlinear/hysteretic oscillators subject to evolutionary stochastic excitation is developed. Specifically, relying on a stochastic averaging/linearization treatment of the problem, approximate closed form expressions are derived for the oscillator nonstationary marginal, transition, and jointresponse amplitude PDFs and, ultimately, for the timedependent oscillator survival probability. The developed technique exhibits considerable versatility, as it can handle readily cases of oscillators exhibiting complex hysteretic behaviors as well as cases of evolutionary stochastic excitations with timevarying frequency contents. Further, it exhibits notable simplicity since, in essence, it requires only the solution of a firstorder nonlinear ordinary differential equation (ODE) for the oscillator nonstationary response variance. Thus, the computational cost involved is kept at a minimum level. The classical hardening Duffing and the versatile Preisach (hysteretic) oscillators are considered in a numerical examples section, in which comparisons with pertinent Monte Carlo simulations data demonstrate the reliability of the proposed technique.
publisherThe American Society of Mechanical Engineers (ASME)
titleSurvival Probability Determination of Nonlinear Oscillators Subject to Evolutionary Stochastic Excitation
typeJournal Paper
journal volume81
journal issue5
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.4026182
journal fristpage51016
journal lastpage51016
identifier eissn1528-9036
treeJournal of Applied Mechanics:;2014:;volume( 081 ):;issue: 005
contenttypeFulltext


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