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dc.contributor.authorL. Socha
dc.date.accessioned2017-05-09T00:14:56Z
dc.date.available2017-05-09T00:14:56Z
dc.date.copyrightMay, 2005
dc.date.issued2005
dc.identifier.issn0003-6900
dc.identifier.otherAMREAD-25854#178_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/131119
dc.description.abstractThe purpose of Part 1 of this paper is to provide a review of recent results from 1991 through 2003 in the area of theoretical aspects of statistical and equivalent linearization in the analysis of structural and mechanical nonlinear stochastic dynamic systems. First, a discussion about misunderstandings appearing in the literature in derivation of linearization coefficients for mean-square linearization criterion is presented. In Secs. 3–6 new theoretical results, including new types of criteria, nonlinearities, and excitations in the context of linearization methods, are reviewed. In particular, moment criteria called energy criteria, linearization criteria in the space of power spectral density functions and probability density functions are discussed. A survey of a wide class of so-called nonlinearization techniques, including equivalent quadratization and equivalent cubicization methods, is given in Sec. 7. New linearization techniques for nonlinear stochastic systems with parametric Gaussian excitations and external non-Gaussian excitations are discussed in Secs. 8 and 9, respectively. In the last sections, four surveys of papers where stochastic linearization is used as a mathematical tool in other theoretical approaches, namely, models of dynamic systems with hysteresis, finite element method, and control of nonlinear stochastic systems and linearization with sensitivity analysis, are given. A discussion of the accuracy analysis of linearization techniques and some general conclusions close this paper. There are 217 references cited in this revised article.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleLinearization in Analysis of Nonlinear Stochastic Systems: Recent Results—Part I: Theory
dc.typeJournal Paper
dc.journal.volume58
dc.journal.issue3
dc.journal.titleApplied Mechanics Reviews
dc.identifier.doi10.1115/1.1896368
dc.journal.fristpage178
dc.journal.lastpage205
dc.identifier.eissn0003-6900
dc.keywordsDensity
dc.keywordsNonlinear systems
dc.keywordsApproximation
dc.keywordsEquations
dc.keywordsErrors
dc.keywordsFunctions
dc.keywordsLinearization techniques
dc.keywordsProbability
dc.keywordsWhite noise
dc.keywordsLinear systems AND Stochastic systems
dc.treeApplied Mechanics Reviews:;2005:;volume( 058 ):;issue: 003
dc.contenttypeFulltext


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