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• W2507018519 abstract "Most of the practical engineering structures exhibit nonlinearity due to nonlinear dynamic characteristics of structural joints, nonlinear boundary conditions and nonlinear material properties. Meanwhile, the presence of non-linearity in the system can lead to a wide range of structural behavior, for example, jumps, limit cycles, internal resonances, modal coupling, super and sub-harmonic resonances, etc. In this paper, we present a Volterra series approximation approach based on the adaptive filter concept for nonlinear identification of multi-degree of freedom systems, without sacrificing the benefits associated with the traditional Volterra series approach. The effectiveness of the proposed approach is demonstrated using two classical single degrees of freedom systems (breathing crack problem and Duffing Holmes oscillator) and later we extend to multi-degree of freedom systems." @default.
• W2507018519 created "2016-08-23" @default.
• W2507018519 creator A5026921110 @default.
• W2507018519 creator A5042750308 @default.
• W2507018519 date "2017-02-01" @default.
• W2507018519 modified "2023-09-24" @default.
• W2507018519 title "Nonlinear identification of MDOF systems using Volterra series approximation" @default.
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• W2507018519 doi "https://doi.org/10.1016/j.ymssp.2016.06.040" @default.
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