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Non-linear modal analysis of structural systems using invariant manifolds.

机译:使用不变流形的结构系统的非线性模态分析。

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摘要

This dissertation tackles the problem of defining a proper modal analysis procedure for non-linear dynamical systems, in particular for structural systems of relevance to engineering problems. Of particular importance in structural dynamic analysis is the possibility of generating, for such systems, reliable models with a few degrees of freedom only (also called reduced-order models) from a potentially large initial number of degrees of freedom. The primary goal of this dissertation is to determine a systematic procedure for obtaining such reduced-order models, utilizing a small number of appropriately-defined non-linear normal modes of the system, i.e., to develop a modal analysis procedure for non-linear structural systems legitimately allowing for the use of a few non-linear modes only.;For that purpose, motions involving a single non-linear mode or several non-linear modes are described in terms of a finite-dimensional, curved, invariant manifold in the phase space of the system. The dimension of this invariant manifold is twice the number of non-linear modes of interest, and its curvature is due to the influence of all the linear modes on the various non-linear modes. Accordingly, motions occurring on the invariant manifold include the influence of many linear modes but are parametrized by a small number of non-linear modal coordinates. For free response problems, the non-linear modes that are not included in the model are never excited and need not be simulated (this is the invariance property of the manifold). For forced response problems, the invariant manifold is in general time-varying, but utilization of the (time-independent) invariant manifold associated to the unforced system is found to be nearly invariant for low amplitudes of external excitation. The size of the problem is thus effectively reduced to the number of modeled modes only, and the dynamics of the entire system are then recovered from the dynamics of a small number of coupled, non-linear modal oscillators. Non-linear modal interactions between the various modeled non-linear modes are allowed and accounted for, and permit to treat cases with internal resonances automatically.;In practice, an asymptotic determination of the invariant manifold is obtained for weakly non-linear systems in terms of Taylor series expansions. The accuracy of the procedure is increased by determining higher orders of approximation of the manifold using these series, rather than by adding more modes to the model. Demonstration of the potential of the proposed non-linear modal analysis procedure is provided on a case study, for both free and forced responses. It is found that comparable accuracy can be achieved with many fewer non-linear modes using this non-linear modal analysis procedure than with linear modes using a linear modal analysis of the non-linear system. The computational savings brought by this non-linear modal analysis technique are expected to be significant in many practical applications.
机译:本文解决了为非线性动力系统,特别是与工程问题相关的结构系统,定义适当的模态分析程序的问题。在结构动力学分析中特别重要的是,对于这样的系统,可以从潜在的大量初始自由度中生成仅具有几个自由度的可靠模型(也称为降阶模型)。本文的主要目的是确定系统的程序,以获取这种降阶模型,利用少量适当定义的系统的非线性法线模式,即为非线性结构开发模态分析程序。合法地仅允许使用一些非线性模式的系统。为此,涉及单个非线性模式或多个非线性模式的运动是根据有限维,弯曲不变的流形来描述的。系统的相空间。该不变流形的尺寸是感兴趣的非线性模式数量的两倍,并且其曲率是由于所有线性模式对各种非线性模式的影响所致。因此,在不变歧管上发生的运动包括许多线性模态的影响,但是通过少量非线性模态坐标进行参数化。对于自由响应问题,模型中未包含的非线性模式永远不会被激发,因此无需进行仿真(这是流形的不变性)。对于强迫响应问题,不变歧管通常是随时间变化的,但是发现与无强迫系统相关的(时间无关)不变歧管的利用对于外部激励的低振幅几乎是不变的。因此,问题的大小可以有效地减少到仅建模模式的数量,然后从少量耦合的非线性模态振荡器的动力学中恢复整个系统的动力学。允许并考虑各种建模的非线性模式之间的非线性模式相互作用,并允许自动处理具有内部共振的情况。在实践中,就弱非线性系统而言,获得了不变流形的渐近确定泰勒级数展开。通过使用这些序列确定歧管的更高阶逼近,而不是通过向模型添加更多模式,可以提高过程的准确性。案例研究提供了针对自由响应和强制响应的非线性模态分析程序的潜力。发现使用这种非线性模态分析程序,与使用非线性系统线性模态分析的线性模态相比,使用更少数量的非线性模态可以实现相当的精度。预期这种非线性模态分析技术带来的计算节省在许多实际应用中将是重要的。

著录项

  • 作者

    Boivin, Nicolas.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 232 p.
  • 总页数 232
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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