改进非线性系统高振幅预测的失谐多尺度分析法

IF 2.3 3区 工程技术 Q2 MECHANICS
Yasai Nie, Tieding Guo, Yunyue Cong, Wanzhi Qiao, Houjun Kang
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引用次数: 0

摘要

结合频率失谐思想(即围绕非线性响应频率而非传统的线性固有频率对非线性系统进行线性化),对失谐多尺度方法(dMSM)进行了研究,全面评估了其应用于具有几何立方刚度或立方阻尼的立方非线性系统(即铰链-铰链梁和广义范德波尔振荡器)时的性能。通过与标准 MSM 的详细比较,并重点关注频率响应和主干曲线,发现(失谐)dMSM 在预测几何立方梁和立方阻尼振荡器的高振幅非线性行为(弱非线性假设仍然有效)方面表现出卓越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detuned multiple scale analysis for improving high-amplitude prediction of nonlinear systems

Combined with a frequency detuning idea, i.e., linearization of nonlinear systems around its nonlinear response frequency rather than traditional linear natural frequency, a detuned multiple scale method (dMSM) is investigated by a full evaluation of its performance when being applied to cubic nonlinear systems with either geometrically cubic stiffness or cubic damping, i.e., a hinged–hinged beam and a generalized Van der Pol oscillator. By detailed comparison with standard MSM and focusing on frequency response and backbone curves, it is found that (detuned) dMSM demonstrates a superior performance in prediction of high-amplitude nonlinear behaviors (with weakly nonlinear assumption still valid), for both a geometrically cubic beam and a cubic damped oscillator.

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来源期刊
Acta Mechanica
Acta Mechanica 物理-力学
CiteScore
4.30
自引率
14.80%
发文量
292
审稿时长
6.9 months
期刊介绍: Since 1965, the international journal Acta Mechanica has been among the leading journals in the field of theoretical and applied mechanics. In addition to the classical fields such as elasticity, plasticity, vibrations, rigid body dynamics, hydrodynamics, and gasdynamics, it also gives special attention to recently developed areas such as non-Newtonian fluid dynamics, micro/nano mechanics, smart materials and structures, and issues at the interface of mechanics and materials. The journal further publishes papers in such related fields as rheology, thermodynamics, and electromagnetic interactions with fluids and solids. In addition, articles in applied mathematics dealing with significant mechanics problems are also welcome.
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