Study on nonlinear dynamic behaviors of the cable-stayed functionally graded beam under extreme temperature environments

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Xiaoyang Su , Tong Hu , Wei Zhang , Houjun Kang , Yunyue Cong , Jing Zhang
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引用次数: 0

Abstract

This paper combines functionally graded materials (FGMs) with the cable-stayed beam to propose a cable-stayed functionally graded beam (CSFGB) model. The influences of temperatures on nonlinear behaviors of the model are analyzed when one-to-two internal resonance of the global mode (FGB) and the local mode (cable) is triggered. First, the governing equations, which consider thermal effects, are derived through the extended Hamilton's principle. Thereafter, the modal functions are obtained based on the boundary conditions. On this basis, the governing equations are discretized by employing Galerkin discretization, resulting in a set of ordinary differential equations (ODEs). The method of multiple time scales is then applied to solve these ODEs and derive the modulation equations. Finally, nonlinear dynamic behaviors of the CSFGB at three different temperatures are analyzed. The results show that as the temperature decreases, the response increases, making chaotic motion more likely to occur. Moreover, the distribution of FGMs has a significant impact on nonlinear responses of the system.
极端温度环境下斜拉功能梯度梁的非线性动力特性研究
本文将功能梯度材料(fgm)与斜拉梁相结合,提出了斜拉功能梯度梁模型。分析了在触发全局模态(FGB)和局部模态(cable)的一对二内共振时,温度对模型非线性行为的影响。首先,通过扩展的汉密尔顿原理推导了考虑热效应的控制方程。然后,根据边界条件得到了模态函数。在此基础上,采用伽辽金离散法对控制方程进行离散,得到一组常微分方程。然后用多时间尺度的方法求解这些微分方程,并推导出调制方程。最后,对CSFGB在三种不同温度下的非线性动力行为进行了分析。结果表明,随着温度的降低,响应增大,使混沌运动更容易发生。此外,fgm的分布对系统的非线性响应有显著的影响。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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