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contributor authorSubramanian
contributor authorSusheelkumar C.;Redkar
contributor authorSangram
date accessioned2022-08-18T12:51:51Z
date available2022-08-18T12:51:51Z
date copyright5/10/2022 12:00:00 AM
date issued2022
identifier issn1555-1415
identifier othercnd_017_09_091002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286993
description abstractIn this paper, multiple order reduction techniques for parametrically excited nonlinear quasi-periodic systems are presented. The linear time-varying part of the quasi-periodic system is transformed into a linear time-invariant form via the Lyapunov–Perron (L–P) transformation. The analytical computation of such a transformation is performed using an intuitive state augmentation and the normal forms technique. This L–P transformation is further utilized in analyzing the nonlinear part of the original quasi-periodic system. Using the L–P transformation, three-order reduction techniques are detailed in this work. First, a Guyan linear reduction method is applied to reduce the order. The second method is to determine a nonlinear projection based on the singular perturbation method. In the third technique, the method of Invariant Manifold is applied to identify a relationship between the dominant and nondominant system states. Furthermore, in this work, all three order reduction techniques are demonstrated on the class of commutative and noncommutative/Hills-type nonlinear quasi-periodic systems. The behavior of the reduced system states of the resulting solution is compared with the numerical integration results and their performance is studied using the error plots for each technique.
publisherThe American Society of Mechanical Engineers (ASME)
titleOrder Reduction of Nonlinear Quasi-Periodic Systems Using Lyapunov–Perron Transformation
typeJournal Paper
journal volume17
journal issue9
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4054349
journal fristpage91002-1
journal lastpage91002-11
page11
treeJournal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 009
contenttypeFulltext


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