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基于Kelvin模型的粘弹性浅拱的动力稳定性
引用本文:易壮鹏,康厚军,王连华. 基于Kelvin模型的粘弹性浅拱的动力稳定性[J]. 动力学与控制学报, 2009, 7(3): 212-216
作者姓名:易壮鹏  康厚军  王连华
作者单位:1. 长沙理工大学土木与建筑学院,长沙,410114
2. 湖南大学力学与航天航空学院,长沙,410082
3. 湖南大学土木工程学院,长沙,410082
基金项目:国家自然科学基金资助项目 
摘    要:研究了外激励作用下非线性粘弹性浅拱的动力行为.通过达朗贝尔原理和欧拉一贝努利假定建立了浅拱的动力学控制方程,其中采用Kelvin模型来表示非线性粘弹性材料的本构关系,并利用Galerkin法将方程简化用于数值分析.分析了粘弹性材料参数、浅拱矢高、外激励幅值和频率对系统分岔和混沌等非线性动力学行为的影响,结果表明各种参数条件下系统的非线性动力特性十分复杂,周期运动、准周期运动和混沌运动窗口在一定条件下交替出现.

关 键 词:浅拱  粘弹性  Kelvin模型  非线性动力学  Galerkin法
收稿时间:2009-03-09
修稿时间:2009-03-25

The dynamic behaviors of viscoelastic shallow arches based on kelvin modeld
Yi Zhuangpeng,Kang Houjun and Wang Lianhua. The dynamic behaviors of viscoelastic shallow arches based on kelvin modeld[J]. Journal of Dynamics and Control, 2009, 7(3): 212-216
Authors:Yi Zhuangpeng  Kang Houjun  Wang Lianhua
Affiliation:Yi Zhuangpeng Kang Houjun Wang Lianhua ( 1. School of Civil Engineering and Architecture, Changsha University of Science and Technology, Changsha 410114, China; 2. College of Mechanical alut Aerospace, Hunan University, Changsha 410082, China;3. College of Civil Engineering, Hunan University, Changsha 410082, China)
Abstract:The dynamic of nonlinear viscoelastic shallow arches subjected to the external excitation was investiga- ted. Based on the d' Alembert principle and the Euler-Bernoulli assumption, the governing equation of shallow arch was obtained, where the Kelvin model was used to express the constitutive relation of nonlinear viscoelastic material, and the equation was simplified by the Galerkin' s method for numerical analysis. Moreover, the effects of the viscoelastic material parameter, the rise and excitation on the nonlinear dynamic including system bifurcation and chaos of shallow arch were investigated viscoelastic shallow arches were very complex, and appeared alternately for certain condition. The results show that the nonlinear dynamic properties of the the periodic motion, quasi-periodic motion and chaotic motion
Keywords:shallow arches   viscoelastic   Kelvin model   nonlinear dynamic behaviors   Galerkin' s method
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