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Extended homotopy analysis method for multi-degree-of-freedom non-autonomous nonlinear dynamical systems and its application

机译:多自由度非自治非线性动力系统的扩展同伦分析方法及其应用

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摘要

In normal circumstances, numerous practical engineering problems are multi-degree-of-freedom (MDOF) nonlinear non-autonomous dynamical systems. Generally, exact solutions for MDOF dynamical systems are hardly obtained; thus, the development of analytical approximations becomes a robust and appealing avenue for an analysis of these systems. The homotopy analysis method (HAM) is one of the analytical methods, which can overcome the foregoing barriers of conventional asymptotic techniques. It has been widely used for solving various nonlinear problems in physical science and engineering. In this paper, the extended homotopy analysis method (EHAM) is presented to establish the analytical approximate solutions for MDOF weakly damped non-autonomous dynamical systems. In terms of its flexibility and applicability, the EHAM is also applied to derive the approximate solutions of parametrically and externally excited thin plate systems. Besides, comparisons are performed between the results obtained by the EHAM and the numerical integration (i.e. Runge–Kutta) method. The present findings show that the analytical approximate solutions of the EHAM agree well with the numerical integration solutions.
机译:在正常情况下,许多实际的工程问题是多自由度(MDOF)非线性非自治动力系统。通常,很难获得MDOF动力系统的精确解决方案。因此,解析近似的发展成为分析这些系统的可靠途径。同质分析方法(HAM)是一种分析方法,可以克服常规渐近技术的上述障碍。它已被广泛用于解决物理科学和工程学中的各种非线性问题。本文提出了扩展的同伦分析方法(EHAM),以建立MDOF弱阻尼非自治动力系统的解析近似解。就其灵活性和适用性而言,EHAM还用于推导参数和外部激励薄板系统的近似解。此外,将通过EHAM获得的结果与数值积分(即Runge–Kutta)方法进行比较。目前的发现表明,EHAM的解析近似解与数值积分解非常吻合。

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  • 来源
    《Acta Mechanica》 |2012年第12期|p.2537-2548|共12页
  • 作者

    W. Zhang; Y. H. Qian; S. K. Lai;

  • 作者单位

    College of Mechanical Engineering, Beijing University of Technology, Beijing, 100124, People’s Republic of China;

    College of Mechanical Engineering, Beijing University of Technology, Beijing, 100124, People’s Republic of China;

    Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Pokfulam, Hong Kong;

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