2005
DOI: 10.1007/s11071-005-2822-z
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Order Reduction of Parametrically Excited Nonlinear Systems: Techniques and Applications

Abstract: Abstract. The basic problem of order reduction of nonlinear systems with time periodic coefficients is considered in state space and in direct second order (structural) form. In state space order reduction methods, the equations of motion are expressed as a set of first order equations and transformed using the Lyapunov-Floquet (L-F) transformation such that the linear parts of new set of equations are time invariant. At this stage, four order reduction methodologies, namely linear, nonlinear projection via si… Show more

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Cited by 19 publications
(9 citation statements)
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“…Due to this better practical performance, the postprocessing technique has been applied to the study of nonlinear shell vibrations [37], as well as to stochastic differential parabolic equations [38]. Also, it has been effectively applied to reduce the order of practical engineering problems modeled by nonlinear differential systems [42,43].…”
Section: In the Present Paper We Analyze The Errors U(t N ) −ũ (N) H mentioning
confidence: 99%
“…Due to this better practical performance, the postprocessing technique has been applied to the study of nonlinear shell vibrations [37], as well as to stochastic differential parabolic equations [38]. Also, it has been effectively applied to reduce the order of practical engineering problems modeled by nonlinear differential systems [42,43].…”
Section: In the Present Paper We Analyze The Errors U(t N ) −ũ (N) H mentioning
confidence: 99%
“…1, also known as the Ziegler column [32,40,42]. The rigid and inextensible bars of length 2l have a mass m. The two bars are allowed to rotate at points O and B thanks to elastic hinges characterized by a rotational stiffness k. At rest, the biarticulated structure is lying in the horizontal direction (O, x).…”
Section: Nonlinear Equation Of Motionmentioning
confidence: 99%
“…(6) and using a fixed-point iteration approach [18] (setting 2  equal to zero on the right side of eq. (21)), 2  can be approximated as …”
Section: The Analytically Reduced Dimension Systemsmentioning
confidence: 99%