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contributor authorOm P. Agrawal
date accessioned2017-05-09T00:14:44Z
date available2017-05-09T00:14:44Z
date copyrightOctober, 2004
date issued2004
identifier issn1048-9002
identifier otherJVACEK-28871#561_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/131035
description abstractThis paper presents a general analytical technique for stochastic analysis of a continuous beam whose damping characteristic is described using a fractional derivative model. In this formulation, the normal-mode approach is used to reduce the differential equation of a fractionally damped continuous beam into a set of infinite equations, each of which describes the dynamics of a fractionally damped spring-mass-damper system. A Laplace transform technique is used to obtain the fractional Green’s function and a Duhamel integral-type expression for the system’s response. The response expression contains two parts, namely, zero state and zero input. For a stochastic analysis, the input force is treated as a random process with specified mean and correlation functions. An expectation operator is applied on a set of expressions to obtain the stochastic characteristics of the system. Closed-form stochastic response expressions are obtained for white noise for two cases, and numerical results are presented for one of the cases. The approach can be extended to all those systems for which the existence of normal modes is guaranteed.
publisherThe American Society of Mechanical Engineers (ASME)
titleAnalytical Solution for Stochastic Response of a Fractionally Damped Beam
typeJournal Paper
journal volume126
journal issue4
journal titleJournal of Vibration and Acoustics
identifier doi10.1115/1.1805003
journal fristpage561
journal lastpage566
identifier eissn1528-8927
keywordsDamping
keywordsDifferential equations
keywordsEquations
keywordsFunctions
keywordsLaplace transforms
keywordsSimply supported beams
keywordsDynamics (Mechanics)
keywordsForce
keywordsStochastic processes
keywordsWhite noise
keywordsDampers
keywordsSprings AND Dynamic models
treeJournal of Vibration and Acoustics:;2004:;volume( 126 ):;issue: 004
contenttypeFulltext


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