2019
DOI: 10.1016/j.ymssp.2019.05.056
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Modal decomposition method for response spectrum based analysis of nonlinear and non-classically damped systems

Abstract: This is a repository copy of Modal decomposition method for response spectrum based analysis of nonlinear and non-classically damped systems.

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Cited by 20 publications
(9 citation statements)
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“…The stochastic component x s (t) of the system response is treated by resorting to the generalized statistical linearization methodology for systems with singular parameter matrices [12,13]; see also [16,17,18,19,20,21,22,23] for a broader perspective, as well as several examples pertaining to application of the method. First, the difference between the systems in Eqs.…”
Section: Application Of the Statistical Linearization Methods For Treating The Stochastic Component Of The Responsementioning
confidence: 99%
“…The stochastic component x s (t) of the system response is treated by resorting to the generalized statistical linearization methodology for systems with singular parameter matrices [12,13]; see also [16,17,18,19,20,21,22,23] for a broader perspective, as well as several examples pertaining to application of the method. First, the difference between the systems in Eqs.…”
Section: Application Of the Statistical Linearization Methods For Treating The Stochastic Component Of The Responsementioning
confidence: 99%
“…For a more detailed presentation as well as pertinent commentary on the topic the interested reader may resort to the works (e.g. [13,14]). The nonlinear stochastic dynamics technique unfolded in the following subsections is independent from the herein presented approach which only works as a necessary stepping stone allowing for the generation of power spectra characterizing the underlying codecompliant stochastic processes corresponding to the strong part of the imposed seismic excitation.…”
Section: Power Spectra Derivation For the Response Spectrum Compatiblmentioning
confidence: 99%
“…The Gaussian assumption which finds application in a number of studies in the earthquake engineering field (e.g. [2,14,15]) constitutes a stepping stone for the development of the herein proposed nonlinear stochastic dynamics methodology. Relying on the standard assumption that the response processes are Gaussian, and following statistical linearization (e.g.…”
Section: Statistical Linearization For Nonlinear Systems Under Stochamentioning
confidence: 99%
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