2006
DOI: 10.1007/s11071-006-9057-5
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Nonlinear normal modes in multi-mode models of an inertially coupled elastic structure

Abstract: Nonlinear normal modes for elastic structures have been studied extensively in the literature. Most studies have been limited to small nonlinear motions and to structures with geometric nonlinearities. This work investigates the nonlinear normal modes in elastic structures that contain essential inertial nonlinearities. For such structures, based on the works of Crespo da Silva and Meirovitch, a general methodology is developed for obtaining multi-degree-of-freedom discretized models for structures in planar m… Show more

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Cited by 22 publications
(27 citation statements)
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“…One of the first approaches was proposed by Slater [14] who combined a shooting method with sequential continuation to solve the nonlinear boundary value problem that defines a family of NNM motions. Similar approaches were considered in Lee et al [15] and Bajaj et al [16]. A more sophisticated continuation method is the so-called asymptotic-numerical method.…”
Section: Introductionmentioning
confidence: 91%
“…One of the first approaches was proposed by Slater [14] who combined a shooting method with sequential continuation to solve the nonlinear boundary value problem that defines a family of NNM motions. Similar approaches were considered in Lee et al [15] and Bajaj et al [16]. A more sophisticated continuation method is the so-called asymptotic-numerical method.…”
Section: Introductionmentioning
confidence: 91%
“…Linearizing the energy around each point i of the boundary d, we obtain Equation (12). Solving Equation (13) transforms the energy increment in terms of displacements (∆ui, ∆vi) to apply to the boundary nodes.…”
Section: Domain Predictionmentioning
confidence: 99%
“…In this section we briefly introduce the mathematical background of the KLT procedure and refer to e.g. [28] for a detailed discussion. The KLT is a signal-dependent transform which means that basis depends on the process under investigation: q(t).…”
Section: Basics Of Kltmentioning
confidence: 99%