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An approach dealing with inertia nonlinearity of a cantilever model subject to lateral basal Gaussian white noise excitation

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  • Ge, Gen
  • Xie, Nana

Abstract

An uniform inextensible slender cantilever model with longitudinal inertia nonlinearity under lateral basal Gaussian white noise excitation was studied. The effect of inertia nonlinearity was especially taken into account, which is the main novelty of this study. A modified stochastic averaging method for strong nonlinearity was applied to transform the system into an Ito differential equation about the transient equivalent amplitude. After that, a prediction-correction method was presented to improve the predicting accuracy. The stationary probability density function (PDF) of transient equivalent amplitude, as well as the joint PDF of the displacement and velocity was studied. The reliability function and the probability density of first passage failure time were also investigated by the theoretical analysis and the Monte Carlo simulation. The Monte Carlo results vindicated these approaches.

Suggested Citation

  • Ge, Gen & Xie, Nana, 2020. "An approach dealing with inertia nonlinearity of a cantilever model subject to lateral basal Gaussian white noise excitation," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    • Handle: RePEc:eee:chsofr:v:131:y:2020:i:c:s0960077919304151
    DOI: 10.1016/j.chaos.2019.109469
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    References listed on IDEAS

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    1. Ge, Gen & Li, ZePeng, 2016. "A modified stochastic averaging method on single-degree-of-freedom strongly nonlinear stochastic vibrations," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 469-477.
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    1. Ge, Gen & Liu, Jie, 2021. "Stochastic averaging on a nonlinear oscillator with coordinate-dependent mass excited by Gaussian white noises," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

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