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

机译:处理悬臂模型的惯性非线性的方法,受到横向基础高斯白噪声激励的影响

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摘要

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. (C) 2019 Elsevier Ltd. All rights reserved.
机译:研究了具有横向基座高斯白噪声激发下具有纵向惯性非线性的均匀不可伸展的细长悬臂模型。 特别考虑惯性非线性的影响,这是本研究的主要新颖性。 应用了用于强非线性的改进的随机平均方法,以将系统转换为关于瞬态等效幅度的ITO微分方程。 之后,提出了一种预测校正方法以提高预测精度。 研究了瞬态等效幅度的静止概率密度函数(PDF)以及位移和速度的关节PDF。 通过理论分析和蒙特卡罗模拟,还研究了可靠性函数和第一通道失效时间的概率密度。 蒙特卡罗结果证明了这些方法。 (c)2019年elestvier有限公司保留所有权利。

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